| Year |
Citation |
Score |
| 2020 |
Boxerman JL, Quarles CC, Hu LS, Erickson BJ, Gerstner ER, Smits M, Kaufmann TJ, Barboriak DP, Huang RH, Wick W, Weller M, Galanis E, Kalpathy-Cramer J, Shankar L, Jacobs P, et al. Consensus Recommendations for a Dynamic Susceptibility Contrast MRI Protocol for Use in High-Grade Gliomas. Neuro-Oncology. PMID 32516388 DOI: 10.1093/Neuonc/Noaa141 |
0.328 |
|
| 2020 |
Cardenas CE, Mohamed ASR, Yang J, Gooding M, Veeraraghavan H, Kalpathy-Cramer J, Ng SP, Ding Y, Wang J, Lai SY, Fuller CD, Sharp G. Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentations. Medical Physics. 47: 2317-2322. PMID 32418343 DOI: 10.1002/Mp.13942 |
0.751 |
|
| 2020 |
Kurc T, Bakas S, Ren X, Bagari A, Momeni A, Huang Y, Zhang L, Kumar A, Thibault M, Qi Q, Wang Q, Kori A, Gevaert O, Zhang Y, Shen D, ... ... Kalpathy-Cramer J, et al. Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches. Frontiers in Neuroscience. 14: 27. PMID 32153349 DOI: 10.3389/Fnins.2020.00027 |
0.347 |
|
| 2020 |
Ly I, Cardona J, Lou K, Beers A, Chang K, Brown J, Reardon DA, Arrillaga-Romany I, Forst DA, Jordan JT, Lee EQ, Dietrich J, Nayak L, Wen PY, Chukwueke UN, ... ... Kalpathy-Cramer J, et al. MRI changes in patients with newly diagnosed glioblastoma treated as part of a phase II trial with bavituximab, radiation, and temozolomide. Journal of Clinical Oncology. 38: 2546-2546. DOI: 10.1200/Jco.2020.38.15_Suppl.2546 |
0.324 |
|
| 2020 |
Kim AE, Chang K, Beers A, Emblem KE, Kalpathy-Cramer J, Lee EQ, Lin NU, Nayak L, Chukwueke UN, Oh KS, Shih HA, White M, Lawrence DP, Moy B, Cohen JV, et al. Advanced imaging to assess longitudinal vascular changes in brain metastases treated with immune checkpoint inhibition. Journal of Clinical Oncology. 38: 2529-2529. DOI: 10.1200/Jco.2020.38.15_Suppl.2529 |
0.365 |
|
| 2019 |
Chang K, Beers AL, Bai HX, Brown JM, Ly KI, Li X, Senders JT, Kavouridis VK, Boaro A, Su C, Bi WL, Rapalino O, Liao W, Shen Q, Zhou H, ... ... Kalpathy-Cramer J, et al. Automatic assessment of glioma burden: A deep learning algorithm for fully automated volumetric and bi-dimensional measurement. Neuro-Oncology. PMID 31190077 DOI: 10.1093/Neuonc/Noz106 |
0.319 |
|
| 2019 |
Coyner AS, Swan R, Campbell JP, Ostmo S, Brown JM, Kalpathy-Cramer J, Kim SJ, Jonas KE, Chan RVP, Chiang MF. Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. Ophthalmology. Retina. 3: 444-450. PMID 31044738 DOI: 10.1016/J.Oret.2019.01.015 |
0.313 |
|
| 2019 |
Vu QD, Graham S, Kurc T, To MNN, Shaban M, Qaiser T, Koohbanani NA, Khurram SA, Kalpathy-Cramer J, Zhao T, Gupta R, Kwak JT, Rajpoot N, Saltz J, Farahani K. Methods for Segmentation and Classification of Digital Microscopy Tissue Images. Frontiers in Bioengineering and Biotechnology. 7: 53. PMID 31001524 DOI: 10.3389/Fbioe.2019.00053 |
0.333 |
|
| 2019 |
Langlotz CP, Allen B, Erickson BJ, Kalpathy-Cramer J, Bigelow K, Cook TS, Flanders AE, Lungren MP, Mendelson DS, Rudie JD, Wang G, Kandarpa K. A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology. 190613. PMID 30990384 DOI: 10.1148/Radiol.2019190613 |
0.315 |
|
| 2019 |
Elhalawani H, Elgohari B, Lin TA, Mohamed ASR, Fitzgerald TJ, Laurie F, Ulin K, Kalpathy-Cramer J, Guerrero T, Holliday EB, Russo G, Patel A, Jones W, Walker GV, Awan M, et al. An quality assurance study of contouring target volumes in thoracic tumors within a cooperative group setting. Clinical and Translational Radiation Oncology. 15: 83-92. PMID 30775563 DOI: 10.1016/J.Ctro.2019.01.001 |
0.754 |
|
| 2018 |
Halabi SS, Prevedello LM, Kalpathy-Cramer J, Mamonov AB, Bilbily A, Cicero M, Pan I, Pereira LA, Sousa RT, Abdala N, Kitamura FC, Thodberg HH, Chen L, Shih G, Andriole K, et al. The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology. 180736. PMID 30480490 DOI: 10.1148/Radiol.2018180736 |
0.306 |
|
| 2018 |
Ina Ly K, Vakulenko-Lagun B, Emblem KE, Ou Y, Da X, Betensky RA, Kalpathy-Cramer J, Duda DG, Jain RK, Chi AS, Plotkin SR, Batchelor TT, Sorensen G, Rosen BR, Gerstner ER. Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI. Scientific Reports. 8: 17062. PMID 30459364 DOI: 10.1038/S41598-018-34820-X |
0.328 |
|
| 2018 |
Ng SP, Dyer BA, Kalpathy-Cramer J, Mohamed ASR, Awan MJ, Gunn GB, Phan J, Zafereo M, Debnam JM, Lewis CM, Colen RR, Kupferman ME, Guha-Thakurta N, Canahuate G, Marai GE, et al. A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician specialty matter? Clinical and Translational Radiation Oncology. 12: 40-46. PMID 30148217 DOI: 10.1016/J.Ctro.2018.07.006 |
0.757 |
|
| 2018 |
Schmainda KM, Prah MA, Rand SD, Liu Y, Logan B, Muzi M, Rane SD, Da X, Yen YF, Kalpathy-Cramer J, Chenevert TL, Hoff B, Ross B, Cao Y, Aryal MP, et al. Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project. Ajnr. American Journal of Neuroradiology. PMID 29794239 DOI: 10.3174/Ajnr.A5675 |
0.353 |
|
| 2018 |
Ou Y, Zöllei L, Da X, Retzepi K, Murphy SN, Gerstner ER, Rosen BR, Grant PE, Kalpathy-Cramer J, Gollub RL. Field of View Normalization in Multi-Site Brain MRI. Neuroinformatics. PMID 29353341 DOI: 10.1007/S12021-018-9359-Z |
0.314 |
|
| 2018 |
Christopherson K, Ghosh A, Radwan Mohamed AS, Jomaa M, Gunn GB, Marai L, Canahuate G, Vock D, Dale T, Kalpathy-Cramer J, Messer J, Garden AS, Elhalawani H, Frank SJ, Lewin J, et al. (OA32) Chronic Radiation-Associated Dysphagia in Oropharyngeal Cancer Survivors: Towards Age-Adjusted Dose Constraints for Deglutitive Muscles International Journal of Radiation Oncology*Biology*Physics. 101: e14. DOI: 10.1016/J.Ijrobp.2018.02.071 |
0.68 |
|
| 2017 |
Chang K, Bai HX, Zhou H, Su C, Bi WL, Agbodza E, Kavouridis VK, Senders JT, Boaro A, Beers AL, Zhang B, Capellini A, Liao W, Shen Q, Li X, ... ... Kalpathy-Cramer J, et al. Residual Convolutional Neural Network for Determination of IDH Status in Low- and High-grade Gliomas from MR Imaging. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 29167275 DOI: 10.1158/1078-0432.Ccr-17-2236 |
0.301 |
|
| 2017 |
Zhou M, Scott J, Chaudhury B, Hall L, Goldgof D, Yeom KW, Iv M, Ou Y, Kalpathy-Cramer J, Napel S, Gillies R, Gevaert O, Gatenby R. Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches. Ajnr. American Journal of Neuroradiology. PMID 28982791 DOI: 10.3174/Ajnr.A5391 |
0.319 |
|
| 2017 |
Ger RB, Mohamed ASR, Awan MJ, Ding Y, Li K, Fave XJ, Beers AL, Driscoll B, Elhalawani H, Hormuth DA, Houdt PJV, He R, Zhou S, Mathieu KB, Li H, ... ... Kalpathy-Cramer J, et al. A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations. Scientific Reports. 7: 11185. PMID 28894197 DOI: 10.1038/S41598-017-11554-W |
0.757 |
|
| 2017 |
Le M, Delingette H, Kalpathy-Cramer J, Gerstner ER, Batchelor T, Unkelbach J, Ayache N. Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. Ieee Transactions On Medical Imaging. 36: 815-825. PMID 28113925 DOI: 10.1109/Tmi.2016.2626443 |
0.354 |
|
| 2017 |
Ly I, Wichtmann B, Huang SY, Nummenmaa A, Andronesi O, Fan Q, Curry WT, Cahill DP, Golby AJ, Batchelor T, Kalpathy-Cramer J, Rosen BR, Gerstner ER. Characterizing glioma microenvironment with ultra-high gradient diffusion MRI. Journal of Clinical Oncology. 35: 2050-2050. DOI: 10.1200/Jco.2017.35.15_Suppl.2050 |
0.315 |
|
| 2016 |
Kalpathy-Cramer J, Chandra V, Da X, Ou Y, Emblem KE, Muzikansky A, Cai X, Douw L, Evans JG, Dietrich J, Chi AS, Wen PY, Stufflebeam S, Rosen B, Duda DG, et al. Phase II study of tivozanib, an oral VEGFR inhibitor, in patients with recurrent glioblastoma. Journal of Neuro-Oncology. PMID 27853960 DOI: 10.1007/S11060-016-2332-5 |
0.319 |
|
| 2016 |
Kanwar A, Mohamed AS, Court LE, Zhang L, Marai GE, Canahuate G, Lee JS, Perni S, Messer JA, Pham BH, Youssef B, Vock D, Rao A, Kalpathy-Cramer J, Gunn GB, et al. Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers. International Journal of Radiation Oncology, Biology, Physics. 96: S191. PMID 27675753 DOI: 10.1016/J.Ijrobp.2016.06.477 |
0.568 |
|
| 2016 |
Holliday E, Fuller CD, Kalpathy-Cramer J, Gomez D, Rimner A, Li Y, Senan S, Wilson LD, Choi J, Komaki R, Thomas CR. Quantitative assessment of target delineation variability for thymic cancers: Agreement evaluation of a prospective segmentation challenge. Journal of Radiation Oncology. 5: 55-61. PMID 27570583 DOI: 10.1007/S13566-015-0230-7 |
0.596 |
|
| 2016 |
Kalpathy-Cramer J, Zhao B, Goldgof D, Gu Y, Wang X, Yang H, Tan Y, Gillies R, Napel S. A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. Journal of Digital Imaging. PMID 26847203 DOI: 10.1007/S10278-016-9859-Z |
0.346 |
|
| 2016 |
Messer JA, Mohamed AS, Hutcheson KA, Ding Y, Lewin JS, Wang J, Lai SY, Frank SJ, Garden AS, Sandulache V, Eichelberger H, French CC, Colen RR, Phan J, Kalpathy-Cramer J, et al. Magnetic resonance imaging of swallowing-related structures in nasopharyngeal carcinoma patients receiving IMRT: Longitudinal dose-response characterization of quantitative signal kinetics. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. PMID 26830697 DOI: 10.1016/J.Radonc.2016.01.011 |
0.734 |
|
| 2016 |
Yankeelov TE, Mankoff DA, Schwartz LH, Lieberman FS, Buatti JM, Mountz JM, Erickson BJ, Fennessy FM, Huang W, Kalpathy-Cramer J, Wahl RL, Linden HM, Kinahan PE, Zhao B, Hylton NM, et al. Quantitative Imaging in Cancer Clinical Trials. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. 22: 284-90. PMID 26773162 DOI: 10.1158/1078-0432.Ccr-14-3336 |
0.354 |
|
| 2016 |
Sandulache VC, Hobbs BP, Mohamed RAS, Frank SJ, Song J, Ding Y, Ger R, Court LE, Kalpathy-Cramer J, Hazle JD, Wang J, Awan MJ, Rosenthal DI, Garden AS, Gunn GB, et al. Dynamic contrast-enhanced MRI detects acute radiotherapy-induced alterations in mandibular microvasculature: Prospective assessment of imaging biomarkers of normal tissue injury Scientific Reports. 6. DOI: 10.1038/Srep29864 |
0.77 |
|
| 2016 |
Dale T, Hutcheson K, Mohamed ASR, Lewin JS, Gunn GB, Rao AUK, Kalpathy-Cramer J, Frank SJ, Garden AS, Messer JA, Warren B, Lai SY, Beadle BM, Morrison WH, Phan J, et al. Beyond mean pharyngeal constrictor dose for beam path toxicity in non-target swallowing muscles: Dose-volume correlates of chronic radiation-associated dysphagia (RAD) after oropharyngeal intensity modulated radiotherapy Radiotherapy and Oncology. 118: 304-314. DOI: 10.1016/J.Radonc.2016.01.019 |
0.603 |
|
| 2015 |
Ataer-Cansizoglu E, Bolon-Canedo V, Campbell JP, Bozkurt A, Erdogmus D, Kalpathy-Cramer J, Patel S, Jonas K, Chan RV, Ostmo S, Chiang MF. Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert Diagnosis. Translational Vision Science & Technology. 4: 5. PMID 26644965 DOI: 10.1167/Tvst.4.6.5 |
0.318 |
|
| 2015 |
Ding Y, Hazle JD, Mohamed AS, Frank SJ, Hobbs BP, Colen RR, Gunn GB, Wang J, Kalpathy-Cramer J, Garden AS, Lai SY, Rosenthal DI, Fuller CD. Intravoxel incoherent motion imaging kinetics during chemoradiotherapy for human papillomavirus-associated squamous cell carcinoma of the oropharynx: preliminary results from a prospective pilot study. Nmr in Biomedicine. PMID 26451969 DOI: 10.1002/Nbm.3412 |
0.717 |
|
| 2015 |
Shoultz-Henley S, Garden AS, Mohamed AS, Sheu T, Kroll MH, Rosenthal DI, Gunn GB, Hayes AJ, French C, Eichelberger H, Kalpathy-Cramer J, Smith BD, Phan J, Ayoub Z, Lai SY, et al. Prognostic value of pretherapy platelet elevation in oropharyngeal cancer patients treated with chemoradiation. International Journal of Cancer. Journal International Du Cancer. PMID 26414107 DOI: 10.1016/J.Ijrobp.2015.07.1427 |
0.576 |
|
| 2015 |
Ellingson BM, Bendszus M, Boxerman J, Barboriak D, Erickson BJ, Smits M, Nelson SJ, Gerstner E, Alexander B, Goldmacher G, Wick W, Vogelbaum M, Weller M, Galanis E, Kalpathy-Cramer J, et al. Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials. Neuro-Oncology. 17: 1188-98. PMID 26250565 DOI: 10.1093/Neuonc/Nov095 |
0.314 |
|
| 2015 |
Prah MA, Stufflebeam SM, Paulson ES, Kalpathy-Cramer J, Gerstner ER, Batchelor TT, Barboriak DP, Rosen BR, Schmainda KM. Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma. Ajnr. American Journal of Neuroradiology. 36: 1654-61. PMID 26066626 DOI: 10.3174/Ajnr.A4374 |
0.308 |
|
| 2015 |
Jafari-Khouzani K, Emblem KE, Kalpathy-Cramer J, Bjørnerud A, Vangel MG, Gerstner ER, Schmainda KM, Paynabar K, Wu O, Wen PY, Batchelor T, Rosen B, Stufflebeam SM. Repeatability of Cerebral Perfusion Using Dynamic Susceptibility Contrast MRI in Glioblastoma Patients. Translational Oncology. 8: 137-46. PMID 26055170 DOI: 10.1016/J.Tranon.2015.03.002 |
0.3 |
|
| 2015 |
Mohamed AS, Ruangskul MN, Awan MJ, Baron CA, Kalpathy-Cramer J, Castillo R, Castillo E, Guerrero TM, Kocak-Uzel E, Yang J, Court LE, Kantor ME, Gunn GB, Colen RR, Frank SJ, et al. Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms. Radiology. 274: 752-63. PMID 25380454 DOI: 10.1148/Radiol.14132871 |
0.725 |
|
| 2015 |
Awan M, Dyer BA, Kalpathy-Cramer J, Bongers E, Dahele M, Yang J, Walker GV, Thaker NG, Holliday E, Bishop AJ, Thomas CR, Rosenthal DI, Fuller CD. Auto-segmentation of the brachial plexus assessed with TaCTICS - a software platform for rapid multiple-metric quantitative evaluation of contours. Acta Oncologica (Stockholm, Sweden). 54: 557-60. PMID 25279958 DOI: 10.3109/0284186X.2014.953638 |
0.723 |
|
| 2015 |
Obuchowski NA, Reeves AP, Huang EP, Wang XF, Buckler AJ, Kim HJ, Barnhart HX, Jackson EF, Giger ML, Pennello G, Toledano AY, Kalpathy-Cramer J, Apanasovich TV, Kinahan PE, Myers KJ, et al. Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons. Statistical Methods in Medical Research. 24: 68-106. PMID 24919829 DOI: 10.1177/0962280214537390 |
0.315 |
|
| 2015 |
Obuchowski NA, Barnhart HX, Buckler AJ, Pennello G, Wang XF, Kalpathy-Cramer J, Kim HJ, Reeves AP. Statistical issues in the comparison of quantitative imaging biomarker algorithms using pulmonary nodule volume as an example. Statistical Methods in Medical Research. 24: 107-40. PMID 24919828 DOI: 10.1177/0962280214537392 |
0.347 |
|
| 2015 |
Kalpathy-Cramer J, de Herrera AG, Demner-Fushman D, Antani S, Bedrick S, Müller H. Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 39: 55-61. PMID 24746250 DOI: 10.1016/J.Compmedimag.2014.03.004 |
0.31 |
|
| 2015 |
Gerstner E, Izquierdo D, Ou Y, Emblem K, Cai X, Da X, Chonde D, Martin N, Hooker J, Catana C, Kalpathy-Cramer J, Rosen B, Batchelor T. NIMG-29RADIOLABELED TEMOZOLOMIDE CAN MEASURE BEVACIZUMAB INDUCED VASCULAR MODULATION IN PATIENTS WITH RECURRENT GBM Neuro-Oncology. 17: v160.1-v160. DOI: 10.1093/Neuonc/Nov225.29 |
0.348 |
|
| 2014 |
Kalpathy-Cramer J, Gerstner ER, Emblem KE, Andronesi OC, Rosen B. Advanced magnetic resonance imaging of the physical processes in human glioblastoma. Cancer Research. 74: 4622-37. PMID 25183787 DOI: 10.1158/0008-5472.Can-14-0383 |
0.35 |
|
| 2014 |
Gutman DA, Dunn WD, Cobb J, Stoner RM, Kalpathy-Cramer J, Erickson B. Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer. Frontiers in Neuroinformatics. 8: 53. PMID 24904399 DOI: 10.3389/Fninf.2014.00053 |
0.311 |
|
| 2014 |
Huang W, Li X, Chen Y, Li X, Chang MC, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, ... ... Kalpathy-Cramer J, et al. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. Translational Oncology. 7: 153-66. PMID 24772219 DOI: 10.1593/Tlo.13838 |
0.335 |
|
| 2014 |
Kalpathy-Cramer J, Freymann JB, Kirby JS, Kinahan PE, Prior FW. Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive. Translational Oncology. 7: 147-52. PMID 24772218 DOI: 10.1593/Tlo.13862 |
0.355 |
|
| 2014 |
Pinho MC, Polaskova P, Kalpathy-Cramer J, Jennings D, Emblem KE, Jain RK, Rosen BR, Wen PY, Sorensen AG, Batchelor TT, Gerstner ER. Low incidence of pseudoprogression by imaging in newly diagnosed glioblastoma patients treated with cediranib in combination with chemoradiation. The Oncologist. 19: 75-81. PMID 24309981 DOI: 10.1634/Theoncologist.2013-0101 |
0.322 |
|
| 2014 |
Kalpathy-Cramer J, Awan M, Bedrick S, Rasch CR, Rosenthal DI, Fuller CD. Development of a software for quantitative evaluation radiotherapy target and organ-at-risk segmentation comparison. Journal of Digital Imaging. 27: 108-19. PMID 24043593 DOI: 10.1007/S10278-013-9633-4 |
0.761 |
|
| 2014 |
Chandra V, Ou Y, Evans J, Kalpathy-Cramer J, Dietrich J, Chi A, Wen P, Rosen B, Batchelor T, Gerstner E. At-16Phase Ii Study Of Tivozanib, An Oral Vegfr Inhibitor, In Patients With Recurrent Glioblastoma Neuro-Oncology. 16. DOI: 10.1093/Neuonc/Nou237.16 |
0.32 |
|
| 2014 |
Batchelor TT, Gerstner ER, Emblem KE, Duda DG, Kalpathy-Cramer J, Snuderl M, Ancukiewicz M, Polaskova P, Pinho MC, Jennings D, Plotkin SR, Chi AS, Eichler AF, Dietrich J, Hochberg FH, et al. INCREASED PERFUSION DUE TO VASCULAR NORMALIZATION IMPROVES OXYGENATION AND SURVIVAL IN GLIOBLASTOMA PATIENTS TREATED WITH CEDIRANIB WITH OR WITHOUT CHEMORADIATION Neuro-Oncology. 16: iii12-iii12. DOI: 10.1093/Neuonc/Nou206.42 |
0.333 |
|
| 2013 |
Awan M, Kalpathy-Cramer J, Gunn GB, Beadle BM, Garden AS, Phan J, Holliday E, Jones WE, Maani E, Patel A, Choi J, Clyburn V, Tantiwongkosi B, Rosenthal DI, Fuller CD. Prospective assessment of an atlas-based intervention combined with real-time software feedback in contouring lymph node levels and organs-at-risk in the head and neck: Quantitative assessment of conformance to expert delineation. Practical Radiation Oncology. 3: 186-93. PMID 24674363 DOI: 10.1016/J.Prro.2012.11.002 |
0.698 |
|
| 2013 |
Batchelor TT, Gerstner ER, Emblem KE, Duda DG, Kalpathy-Cramer J, Snuderl M, Ancukiewicz M, Polaskova P, Pinho MC, Jennings D, Plotkin SR, Chi AS, Eichler AF, Dietrich J, Hochberg FH, et al. Improved tumor oxygenation and survival in glioblastoma patients who show increased blood perfusion after cediranib and chemoradiation. Proceedings of the National Academy of Sciences of the United States of America. 110: 19059-64. PMID 24190997 DOI: 10.1073/Pnas.1318022110 |
0.311 |
|
| 2012 |
Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller JV, Pieper S, Kikinis R. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 30: 1323-41. PMID 22770690 DOI: 10.1016/J.Mri.2012.05.001 |
0.322 |
|
| 2012 |
Kahn CE, Kalpathy-Cramer J, Lam CA, Eldredge CE. Accurate determination of imaging modality using an ensemble of text- and image-based classifiers. Journal of Digital Imaging. 25: 37-42. PMID 21748413 DOI: 10.1007/S10278-011-9399-5 |
0.329 |
|
| 2012 |
Polaskova P, Pinho MC, Kalpathy-Cramer J, Guimaraes AR, Wen PY, Sorensen AG, Jain RK, Batchelor T, Gerstner ER. Effects of cediranib (VEGF signaling inhibitor) on edema in newly diagnosed glioblastoma patients during initial chemoradiation. Journal of Clinical Oncology. 30: 2012-2012. DOI: 10.1200/Jco.2012.30.15_Suppl.2012 |
0.325 |
|
| 2012 |
M̈uller H, Kalpathy-Cramer J, Demner-Fushman D, Antani S. Creating a classification of image types in the medical literature for visual categorization Proceedings of Spie - the International Society For Optical Engineering. 8425. DOI: 10.1117/12.911186 |
0.315 |
|
| 2011 |
Wang SJ, Lemieux A, Kalpathy-Cramer J, Ord CB, Walker GV, Fuller CD, Kim JS, Thomas CR. Nomogram for predicting the benefit of adjuvant chemoradiotherapy for resected gallbladder cancer. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. 29: 4627-32. PMID 22067404 DOI: 10.1200/Jco.2010.33.8020 |
0.572 |
|
| 2011 |
Wang SJ, Wissel AR, Ord CB, Kalpathy-Cramer J, Fuller CD, Holland JM, Gross ND. Individualized estimation of conditional survival for patients with head and neck cancer Otolaryngology - Head and Neck Surgery. 145: 71-73. PMID 21493289 DOI: 10.1177/0194599811401793 |
0.581 |
|
| 2011 |
Wang SJ, Wissel AR, Luh JY, Fuller CD, Kalpathy-Cramer J, Thomas CR. An interactive tool for individualized estimation of conditional survival in rectal cancer. Annals of Surgical Oncology. 18: 1547-52. PMID 21207162 DOI: 10.1245/S10434-010-1512-3 |
0.568 |
|
| 2011 |
Fuller C, Kalpathy-Cramer J, Choi J, Ramahi E, Clyburn V, Patel A, Maani E, Harris A, Baseman D, Jones W. Prospective Evaluation of an Online Atlas-based Educational Intervention on Head and Neck Organ-at-Risk (OAR) and Lymph Node Level (LNL) Contouring: A Pilot Feasibility Study using Web-based Feedback and Analytic Software International Journal of Radiation Oncology*Biology*Physics. 81: S161. DOI: 10.1016/J.Ijrobp.2011.06.1659 |
0.542 |
|
| 2011 |
Kalpathy-Cramer J, Duppen J, Nijkamp J, Rasch C, Thomas C, Fuller C. Gross Tumor Volume (GTV) Target Delineation: Comparison of Expert and Non-expert Contouring with Quantitative PET Parameters International Journal of Radiation Oncology*Biology*Physics. 81: S158-S159. DOI: 10.1016/J.Ijrobp.2011.06.1654 |
0.673 |
|
| 2010 |
Kalpathy-Cramer J, Bedrick S, Radhouani S, Hersh W, Eggel I, Kahn CE, Müller H. Retrieving similar cases from the medical literature - the ImageCLEF experience. Studies in Health Technology and Informatics. 160: 1189-93. PMID 20841872 |
0.503 |
|
| 2009 |
Hersh W, Müller H, Kalpathy-Cramer J. The ImageCLEFmed medical image retrieval task test collection. Journal of Digital Imaging. 22: 648-55. PMID 18769965 DOI: 10.1007/S10278-008-9154-8 |
0.547 |
|
| 2009 |
Müller H, Kalpathy-Cramer J. Putting the Content Into Context: Features and Gaps in Image Retrieval International Journal of Healthcare Information Systems and Informatics. 4: 88-98. DOI: 10.4018/Jhisi.2009010106 |
0.319 |
|
| 2009 |
Kalpathy-Cramer J, Ozertem U, Hersh W, Fuss M, Erdogmus D. Robust segmentation using non-parametric snakes with multiple cues for applications in radiation oncology Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7259. DOI: 10.1117/12.812712 |
0.696 |
|
| 2009 |
Müller H, Kalpathy-Cramer J, Kahn CE, Hersh W. Comparing the quality of accessing medical literature using content-based visual and textual information retrieval Proceedings of Spie. 7264: 726405. DOI: 10.1117/12.811416 |
0.539 |
|
| 2008 |
Kalpathy-Cramer J, Hersh W. Effectiveness of Global Features for Automatic Medical Image Classification and Retrieval - the experiences of OHSU at ImageCLEFmed. Pattern Recognition Letters. 29: 2032-2038. PMID 19884953 DOI: 10.1016/J.Patrec.2008.05.013 |
0.545 |
|
| 2008 |
Kalpathy-Cramer J, Hersh W, Kim JS, Thomas CR, Wang SJ. Survival prediction models for estimating the benefit of post-operative radiation therapy for gallbladder cancer and lung cancer. Amia ... Annual Symposium Proceedings. Amia Symposium. 348-52. PMID 18999217 |
0.507 |
|
| 2008 |
Müller H, Kalpathy-Cramer J, Hersh W, Geissbuhler A. Using medline queries to generate image retrieval tasks for benchmarking. Studies in Health Technology and Informatics. 136: 523-8. PMID 18487784 |
0.494 |
|
| 2008 |
Sanghvi P, Kalpathy-Cramer J, Holland J, Hunter J, Thomas C, Wang S. Pre-operative Radiation is Associated with Improved Survival Compared to Post-operative Radiation for Esophageal Cancer: A SEER Database Analysis International Journal of Radiation Oncology*Biology*Physics. 72: S129. DOI: 10.1016/J.Ijrobp.2008.06.433 |
0.312 |
|
| 2008 |
Wang S, Kalpathy-Cramer J, Lally B, Kim J, Fuller C, Thomas C. A Nomogram for Predicting the Survival Benefit of Post-operative Radiotherapy for Patients with Non-small Cell Lung Cancer International Journal of Radiation Oncology*Biology*Physics. 72: S447. DOI: 10.1016/J.Ijrobp.2008.06.1827 |
0.56 |
|
| 2008 |
Fuss M, Srisuthep A, Kalpathy-Cramer J, D'Souza W. Four-dimensional CT (4D-CT) Image Guidance for Stereotactic Body Radiation Therapy (SBRT) International Journal of Radiation Oncology*Biology*Physics. 72: S440. DOI: 10.1016/J.Ijrobp.2008.06.1812 |
0.558 |
|
| 2008 |
Srisuthep A, Kalpathy-Cramer J, D'Souza W, Fuss M. Respiratory Liver Tumor Motion Reduction using an Abdominal Arc Compression Device International Journal of Radiation Oncology*Biology*Physics. 72: S269-S270. DOI: 10.1016/J.Ijrobp.2008.06.1712 |
0.507 |
|
| 2007 |
Kalpathy-Cramer J, Hersh W. Automatic image modality based classification and annotation to improve medical image retrieval. Studies in Health Technology and Informatics. 129: 1334-8. PMID 17911931 |
0.513 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2018 |
Ly I, Cardona J, Beers A, Chang K, Brown J, Reardon D, Arrillaga-Romany I, Dietrich J, Forst D, Lee E, Jordan J, Nayak L, Wen P, Batchelor T, Kalpathy-Cramer J, et al. NIMG-68. MRI CHANGES IN NEWLY DIAGNOSED GLIOBLASTOMA PATIENTS TREATED AS PART OF A PHASE II TRIAL WITH BAVITUXIMAB, RADIATION, AND TEMOZOLOMIDE Neuro-Oncology. 20: vi191-vi191. DOI: 10.1093/Neuonc/Noy148.792 |
0.299 |
|
| 2016 |
Le M, Delingette H, Kalpathy-Cramer J, Gerstner E, Batchelor T, Unkelbach J, Ayache N. MRI Based Bayesian Personalization of a Tumor Growth Model. Ieee Transactions On Medical Imaging. PMID 27164582 DOI: 10.1109/Tmi.2016.2561098 |
0.297 |
|
| 2018 |
Redd TK, Campbell JP, Brown JM, Kim SJ, Ostmo S, Chan RVP, Dy J, Erdogmus D, Ioannidis S, Kalpathy-Cramer J, Chiang MF. Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity. The British Journal of Ophthalmology. PMID 30470715 DOI: 10.1136/Bjophthalmol-2018-313156 |
0.295 |
|
| 2018 |
Gerstner E, Cardona J, Chang K, Beers A, Brown J, Kalpathy-Cramer J, Lee E, Lin N, Tolaney S, Nayak L, Chukwueke U, Oh K, Shih H, White M, Lawrence D, et al. Nimg-63. Advanced Imaging For Assessing Volumetric Responses In Brain Metastases Treated With Checkpoint Blockade Neuro-Oncology. 20. DOI: 10.1093/Neuonc/Noy148.787 |
0.294 |
|
| 2013 |
Ataer-Cansizoglu E, Bas E, Kalpathy-Cramer J, Sharp GC, Erdogmus D. Contour-based shape representation using principal curves Pattern Recognition. 46: 1140-1150. DOI: 10.1016/J.Patcog.2012.10.014 |
0.289 |
|
| 2018 |
Armato SG, Huisman H, Drukker K, Hadjiiski L, Kirby JS, Petrick N, Redmond G, Giger ML, Cha K, Mamonov A, Kalpathy-Cramer J, Farahani K. PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. Journal of Medical Imaging (Bellingham, Wash.). 5: 044501. PMID 30840739 DOI: 10.1117/1.Jmi.5.4.044501 |
0.288 |
|
| 2019 |
Chang K, Brown J, Beers A, Rosen B, Kalpathy-Cramer J, Ay H. Abstract WMP17: Fully-Automated Ischemic Brain Infarct Volumetric Segmentation in Diffusion Weighted MR using Deep Learning Stroke. 50. DOI: 10.1161/Str.50.Suppl_1.Wmp17 |
0.288 |
|
| 2019 |
Gerstner E, Emblem KE, Chang K, Vakulenko-Lagun B, Yen YF, Beers AL, Dietrich J, Plotkin SR, Catana C, Hooker JM, Duda DG, Rosen B, Kalpathy-Cramer J, Jain RK, Batchelor T. Bevacizumab reduces permeability and concurrent temozolomide delivery in a subset of patients with recurrent glioblastoma. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 31558474 DOI: 10.1158/1078-0432.Ccr-19-1739 |
0.287 |
|
| 2017 |
Cid YD, Mamonov A, Beers A, Thomas A, Kovalev V, Kalpathy-Cramer J, Müller H. Making sense of large data sets without annotations: Analyzing age-related correlations from lung CT scans Proceedings of Spie. 10138: 1013809. DOI: 10.1117/12.2255609 |
0.287 |
|
| 2015 |
Ataer-Cansizoglu E, Kalpathy-Cramer J, You S, Keck K, Erdogmus D, Chiang MF. Analysis of underlying causes of inter-expert disagreement in retinopathy of prematurity diagnosis. Application of machine learning principles. Methods of Information in Medicine. 54: 93-102. PMID 25434784 DOI: 10.3414/Me13-01-0081 |
0.286 |
|
| 2017 |
Tibrewal S, Tian P, Kedarisetti D, Kalpathy-Cramer J, Erdogmus D, Campbell JP, Chan RV, Chiang MF. Evaluation of computer-based image analysis for retinopathy of prematurity screening Journal of American Association For Pediatric Ophthalmology and Strabismus. 21: e20. DOI: 10.1016/J.Jaapos.2017.07.065 |
0.286 |
|
| 2018 |
Ghergherehchi LM, Brown JM, Ostmo S, Kim SJ, Campbell JP, Chan RP, Kalpathy-Cramer J, Chiang MF. How is plus disease diagnosed in ROP? Insights from a deep learning computer-based image analysis system with occlusion analysis Journal of American Association For Pediatric Ophthalmology and Strabismus. 22: e78. DOI: 10.1016/J.Jaapos.2018.07.288 |
0.284 |
|
| 2018 |
Chang K, Balachandar N, Lam C, Yi D, Brown J, Beers A, Rosen B, Rubin DL, Kalpathy-Cramer J. Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association : Jamia. PMID 29617797 DOI: 10.1093/Jamia/Ocy017 |
0.283 |
|
| 2016 |
Kalpathy-Cramer J, Campbell JP, Erdogmus D, Tian P, Kedarisetti D, Moleta C, Reynolds JD, Hutcheson K, Shapiro MJ, Repka MX, Ferrone P, Drenser K, Horowitz J, Sonmez K, Swan R, et al. Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image Analysis. Ophthalmology. PMID 27566853 DOI: 10.1016/J.Ophtha.2016.07.020 |
0.283 |
|
| 2016 |
Ly I, Ou Y, Da X, Batchelor T, Kalpathy-Cramer J, Gerstner E. NIMG-22. MRI CHANGES IN NEWLY DIAGNOSED GLIOBLASTOMA DURING CHEMORADIATION AND ADJUVANT TEMOZOLOMIDE Neuro-Oncology. 18: vi128-vi129. DOI: 10.1093/Neuonc/Now212.534 |
0.282 |
|
| 2017 |
Chandra V, Salcedo S, Yen Y, Cardona J, Beers A, Catana C, Kalpathy-Cramer J, Curry WT, Gerstner E. NIMG-85. PBR28 PET-MRI IN GBM PATIENTS TREATED WITH IMMUNOTHERAPY OR SUSPECTED PSUEDOPROGRESSION Neuro-Oncology. 19: vi161-vi161. DOI: 10.1093/Neuonc/Nox168.655 |
0.28 |
|
| 2018 |
Newitt DC, Malyarenko D, Chenevert TL, Quarles CC, Bell L, Fedorov A, Fennessy F, Jacobs MA, Solaiyappan M, Hectors S, Taouli B, Muzi M, Kinahan PE, Schmainda KM, Prah MA, ... ... Kalpathy-Cramer J, et al. Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network. Journal of Medical Imaging (Bellingham, Wash.). 5: 011003. PMID 29021993 DOI: 10.1117/1.Jmi.5.1.011003 |
0.279 |
|
| 2014 |
Dizdaroğlu B, Ataer-Cansizoglu E, Kalpathy-Cramer J, Keck K, Chiang MF, Erdogmus D. Structure-based level set method for automatic retinal vasculature segmentation Eurasip Journal On Image and Video Processing. 2014. DOI: 10.1186/1687-5281-2014-39 |
0.276 |
|
| 2020 |
Balachandar N, Chang K, Kalpathy-Cramer J, Rubin DL. Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging. Journal of the American Medical Informatics Association : Jamia. PMID 32594122 DOI: 10.1093/Jamia/Ocaa118 |
0.276 |
|
| 2018 |
Robins M, Kalpathy-Cramer J, Obuchowski NA, Buckler A, Athelogou M, Jarecha R, Petrick N, Pezeshk A, Sahiner B, Samei E. Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge. Academic Radiology. PMID 30219290 DOI: 10.1016/J.Acra.2018.07.022 |
0.275 |
|
| 2019 |
Choudhery S, Chou SS, Chang K, Kalpathy-Cramer J, Lehman CD. Kinetic Analysis of Lesions Identified on a Rapid Abridged Multiphase (RAMP) Breast MRI Protocol. Academic Radiology. PMID 31147233 DOI: 10.1016/J.Acra.2019.05.001 |
0.275 |
|
| 2019 |
Ly KI, Vakulenko-Lagun B, Emblem KE, Ou Y, Da X, Betensky RA, Kalpathy-Cramer J, Duda DG, Jain RK, Chi AS, Plotkin SR, Batchelor TT, Sorensen G, Rosen BR, Gerstner ER. Publisher Correction: Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI. Scientific Reports. 9: 8721. PMID 31197238 DOI: 10.1038/S41598-019-44365-2 |
0.275 |
|
| 2020 |
Bellsmith KN, Brown J, Kim SJ, Goldstein IH, Coyner A, Ostmo S, Gupta K, Chan RVP, Kalpathy-Cramer J, Chiang MF, Campbell JP. Aggressive Posterior Retinopathy of Prematurity: Clinical and Quantitative Imaging Features in a Large North American Cohort. Ophthalmology. PMID 32197913 DOI: 10.1016/J.Ophtha.2020.01.052 |
0.274 |
|
| 2016 |
Campbell JP, Ataer-Cansizoglu E, Bolon-Canedo V, Bozkurt A, Erdogmus D, Kalpathy-Cramer J, Patel SN, Reynolds JD, Horowitz J, Hutcheson K, Shapiro M, Repka MX, Ferrone P, Drenser K, Martinez-Castellanos MA, et al. Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis. Jama Ophthalmology. PMID 27077667 DOI: 10.1001/Jamaophthalmol.2016.0611 |
0.273 |
|
| 2016 |
Yen Y, Da X, Catana C, Ou Y, Hooker J, Kalpathy-Cramer J, Rosen B, Batchelor T, Gerstner E. NIMG-42. PENETRATION OF RADIOLABELED TEMOZOLOMIDE CORRELATES WITH CONTRAST ENHANCEMENT IN PATIENTS WITH RECURRENT GBM TREATED WITH BEVACIZUMAB Neuro-Oncology. 18: vi133-vi133. DOI: 10.1093/Neuonc/Now212.554 |
0.273 |
|
| 2018 |
Winzeck S, Hakim A, McKinley R, Pinto JAADSR, Alves V, Silva C, Pisov M, Krivov E, Belyaev M, Monteiro M, Oliveira A, Choi Y, Paik MC, Kwon Y, Lee H, ... ... Kalpathy-Cramer J, et al. ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI. Frontiers in Neurology. 9: 679. PMID 30271370 DOI: 10.3389/Fneur.2018.00679 |
0.271 |
|
| 2020 |
Balachandar N, Chang K, Kalpathy-Cramer J, Rubin DL. Accounting for data variability in multi-institutional distributed deep learning for medical imaging. Journal of the American Medical Informatics Association : Jamia. PMID 32196092 DOI: 10.1093/Jamia/Ocaa017 |
0.271 |
|
| 2018 |
Prust ML, Jafari-Khouzani K, Kalpathy-Cramer J, Polaskova P, Batchelor TT, Gerstner ER, Dietrich J. Standard chemoradiation in combination with VEGF targeted therapy for glioblastoma results in progressive gray and white matter volume loss. Neuro-Oncology. PMID 29315410 DOI: 10.1093/Neuonc/Nox217 |
0.27 |
|
| 2020 |
Greenwald MF, Danford ID, Shahrawat M, Ostmo S, Brown J, Kalpathy-Cramer J, Bradshaw K, Schelonka R, Cohen HS, Chan RVP, Chiang MF, Campbell JP. Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity. Journal of Aapos : the Official Publication of the American Association For Pediatric Ophthalmology and Strabismus. PMID 32289490 DOI: 10.1016/J.Jaapos.2020.01.014 |
0.27 |
|
| 2018 |
Balagurunathan Y, Beers A, Kalpathy-Cramer J, McNitt-Gray M, Hadjiiski L, Zhao B, Zhu J, Yang H, Yip SSF, Aerts HJWL, Napel S, Cherezov D, Cha K, Chan HP, Flores C, et al. Semi-Automated Pulmonary Nodule Interval Segmentation using the NLST data. Medical Physics. PMID 29363773 DOI: 10.1002/Mp.12766 |
0.27 |
|
| 2015 |
Demner-Fushman D, Antani S, Kalpathy-Cramer J, Müller H. A decade of community-wide efforts in advancing medical image understanding and retrieval. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 39: 1-2. PMID 25572585 DOI: 10.1016/J.Compmedimag.2014.12.002 |
0.268 |
|
| 2017 |
Lauer A, Da X, Hansen MB, Boulouis G, Ou Y, Cai X, Liberato Celso Pedrotti A, Kalpathy-Cramer J, Caruso P, Hayden DL, Rost N, Mouridsen K, Eichler FS, Rosen B, Musolino PL. ABCD1 dysfunction alters white matter microvascular perfusion. Brain : a Journal of Neurology. PMID 29136088 DOI: 10.1093/Brain/Awx262 |
0.268 |
|
| 2020 |
Yildiz VM, Tian P, Yildiz I, Brown JM, Kalpathy-Cramer J, Dy J, Ioannidis S, Erdogmus D, Ostmo S, Kim SJ, Chan RVP, Campbell JP, Chiang MF. Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach. Translational Vision Science & Technology. 9: 10. PMID 32704416 DOI: 10.1167/Tvst.9.2.10 |
0.266 |
|
| 2011 |
Chennupati S, Merz B, Kalpathy-Cramer J, Wissel A, Wang S. Variations in Point Dose Specification in 3-Dimensional Planning for Intracavitary Cervical Brachytherapy International Journal of Radiation Oncology*Biology*Physics. 81: S469-S470. DOI: 10.1016/J.Ijrobp.2011.06.1007 |
0.264 |
|
| 2019 |
Patel J, Beers A, Chang K, Brown J, Hoebel K, Rosen B, Huang R, Brastianos P, Gerstner E, Kalpathy-Cramer J. NIMG-43. LONGITUDINAL TRACKING AND GROWTH RATE CHARACTERIZATION OF BRAIN METASTASES ON MAGNETIC RESONANCE IMAGING Neuro-Oncology. 21: vi170-vi171. DOI: 10.1093/Neuonc/Noz175.713 |
0.264 |
|
| 2017 |
Farrar CT, Gale EM, Kennan R, Ramsay I, Masia R, Arora G, Looby K, Wei L, Kalpathy-Cramer J, Bunzel MM, Zhang C, Zhu Y, Akiyama TE, Klimas M, Pinto S, et al. CM-101: Type I Collagen-targeted MR Imaging Probe for Detection of Liver Fibrosis. Radiology. 170595. PMID 29156148 DOI: 10.1148/Radiol.2017170595 |
0.261 |
|
| 2020 |
Choi RY, Brown JM, Kalpathy-Cramer J, Chan RP, Ostmo S, Chiang MF, Campbell JP. Real world variability in plus disease identified using a deep learning-based retinopathy of prematurity severity scale. Ophthalmology. Retina. PMID 32380115 DOI: 10.1016/J.Oret.2020.04.022 |
0.261 |
|
| 2020 |
Scruggs BA, Chan RVP, Kalpathy-Cramer J, Chiang MF, Campbell JP. Artificial Intelligence in Retinopathy of Prematurity Diagnosis. Translational Vision Science & Technology. 9: 5. PMID 32704411 DOI: 10.1167/Tvst.9.2.5 |
0.26 |
|
| 2018 |
Kim SJ, Campbell JP, Kalpathy-Cramer J, Ostmo S, Jonas KE, Choi D, Chan RVP, Chiang MF. Accuracy and Reliability of Eye-Based vs Quadrant-Based Diagnosis of Plus Disease in Retinopathy of Prematurity. Jama Ophthalmology. PMID 29710185 DOI: 10.1001/Jamaophthalmol.2018.1195 |
0.258 |
|
| 2015 |
Prust MJ, Jafari-Khouzani K, Kalpathy-Cramer J, Polaskova P, Batchelor TT, Gerstner ER, Dietrich J. Standard chemoradiation for glioblastoma results in progressive brain volume loss. Neurology. 85: 683-91. PMID 26208964 DOI: 10.1212/Wnl.0000000000001861 |
0.258 |
|
| 2018 |
Parsons M, Hoebel K, Chang K, Pongpitakmetha T, Beers A, Brown J, Kalpathy-Cramer J, Sherman J, Shih H, Dietrich J. NCOG-04. EFFECTS OF PROTON RADIATION ON BRAIN STRUCTURE AND FUNCTION IN LOW GRADE GLIOMA Neuro-Oncology. 20: vi173-vi173. DOI: 10.1093/Neuonc/Noy148.719 |
0.258 |
|
| 2016 |
Boujelben A, Watson M, McDougall S, Yen YF, Gerstner ER, Catana C, Deisboeck T, Batchelor TT, Boas D, Rosen B, Kalpathy-Cramer J, Chaplain MA. Multimodality imaging and mathematical modelling of drug delivery to glioblastomas. Interface Focus. 6: 20160039. PMID 27708763 DOI: 10.1098/Rsfs.2016.0039 |
0.258 |
|
| 2017 |
Shazeeb MS, Kalpathy-Cramer J, Issa B. MRI Simulation Study Investigating Effects of Vessel Topology, Diffusion, and Susceptibility on Transverse Relaxation Rates Using a Cylinder Fork Model. Scientific Reports. 7: 16223. PMID 29176647 DOI: 10.1038/S41598-017-15968-4 |
0.252 |
|
| 2018 |
Hopfgartner F, Hanbury A, Müller H, Eggel I, Balog K, Brodt T, Cormack GV, Lin J, Kalpathy-Cramer J, Kando N, Kato MP, Krithara A, Gollub T, Potthast M, Viegas E, et al. Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook Journal of Data and Information Quality. 10: 15. DOI: 10.1145/3239570 |
0.252 |
|
| 2016 |
Hansen MB, Tietze A, Kalpathy-Cramer J, Gerstner ER, Batchelor TT, Østergaard L, Mouridsen K. Reliable estimation of microvascular flow patterns in patients with disrupted blood-brain barrier using dynamic susceptibility contrast MRI. Journal of Magnetic Resonance Imaging : Jmri. PMID 27902858 DOI: 10.1002/Jmri.25549 |
0.251 |
|
| 2017 |
Bane O, Hectors SJ, Wagner M, Arlinghaus LL, Aryal MP, Cao Y, Chenevert TL, Fennessy F, Huang W, Hylton NM, Kalpathy-Cramer J, Keenan KE, Malyarenko DI, Mulkern RV, Newitt DC, et al. Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study. Magnetic Resonance in Medicine. PMID 28913930 DOI: 10.1002/Mrm.26903 |
0.246 |
|
| 2019 |
Gupta K, Campbell JP, Taylor S, Brown JM, Ostmo S, Chan RVP, Dy J, Erdogmus D, Ioannidis S, Kalpathy-Cramer J, Kim SJ, Chiang MF. A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After Treatment. Jama Ophthalmology. PMID 31268499 DOI: 10.1001/Jamaophthalmol.2019.2442 |
0.243 |
|
| 2010 |
Wang S, Patel S, Shah J, Kowalski L, Kalpathy-Cramer J, Thomas C, Gross N. A Prediction Model for Estimating the Benefit of Post-operative Radiotherapy for Oral Cavity Squamous Cell Carcinoma International Journal of Radiation Oncology*Biology*Physics. 78: S462-S463. DOI: 10.1016/J.Ijrobp.2010.07.1085 |
0.242 |
|
| 2014 |
Chandra V, Ou Y, Kalpathy-Cramer J, Evans J, Sprinkhuizen S, Batchelor T, Gerstner ER. Longitudinal diffusion MRI in PCNSL treated with methotrexate, rituximab, and temozolomide (MRT). Journal of Clinical Oncology. 32: 8579-8579. DOI: 10.1200/Jco.2014.32.15_Suppl.8579 |
0.242 |
|
| 2015 |
Bolón-Canedo V, Ataer-Cansizoglu E, Erdogmus D, Kalpathy-Cramer J, Fontenla-Romero O, Alonso-Betanzos A, Chiang MF. Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. Computer Methods and Programs in Biomedicine. 122: 1-15. PMID 26120072 DOI: 10.1016/J.Cmpb.2015.06.004 |
0.242 |
|
| 2010 |
Peters C, Caputo B, Gonzalo J, Jones GJF, Kalpathy-Cramer J, Müller H, Tsikrika T. Multilingual Information Access Evaluation II. Multimedia Experiments Lecture Notes in Computer Science. 6242. DOI: 10.1007/978-3-642-15751-6 |
0.242 |
|
| 2017 |
Ly I, Wichtmann B, Huang S, Nummenmaa A, Andronesi O, Fan Q, Curry WT, Cahill D, Nahed B, Golby A, Batchelor T, Kalpathy-Cramer J, Rosen B, Gerstner E. NIMG-09. CHARACTERIZING GLIOMA MICROENVIRONMENT WITH ULTRA-HIGH GRADIENT DIFFUSION MRI Neuro-Oncology. 19: vi144-vi144. DOI: 10.1093/Neuonc/Nox168.588 |
0.241 |
|
| 2016 |
Campbell JP, Kalpathy-Cramer J, Erdogmus D, Tian P, Kedarisetti D, Moleta C, Reynolds JD, Hutcheson K, Shapiro MJ, Repka MX, Ferrone P, Drenser K, Horowitz J, Sonmez K, Swan R, et al. Plus Disease in Retinopathy of Prematurity: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic Variability. Ophthalmology. PMID 27591053 DOI: 10.1016/J.Ophtha.2016.07.026 |
0.24 |
|
| 2018 |
Brown JM, Campbell JP, Beers A, Chang K, Ostmo S, Chan RVP, Dy J, Erdogmus D, Ioannidis S, Kalpathy-Cramer J, Chiang MF. Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. Jama Ophthalmology. PMID 29801159 DOI: 10.1001/Jamaophthalmol.2018.1934 |
0.239 |
|
| 2020 |
Chang K, Beers AL, Brink L, Patel JB, Singh P, Arun NT, Hoebel KV, Gaw N, Shah M, Pisano ED, Tilkin M, Coombs LP, Dreyer KJ, Allen B, Agarwal S, ... Kalpathy-Cramer J, et al. Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density. Journal of the American College of Radiology : Jacr. PMID 32592660 DOI: 10.1016/J.Jacr.2020.05.015 |
0.239 |
|
| 2020 |
Beers A, Brown J, Chang K, Hoebel K, Patel J, Ly KI, Tolaney SM, Brastianos P, Rosen B, Gerstner ER, Kalpathy-Cramer J. DeepNeuro: an open-source deep learning toolbox for neuroimaging. Neuroinformatics. PMID 32578020 DOI: 10.1007/S12021-020-09477-5 |
0.237 |
|
| 2017 |
Moleta C, Campbell JP, Kalpathy-Cramer J, Chan RP, Ostmo S, Jonas K, Chiang MF. Plus Disease in Retinopathy of Prematurity: Diagnostic Trends in 2016 vs. 2007. American Journal of Ophthalmology. PMID 28087400 DOI: 10.1016/J.Ajo.2016.12.025 |
0.233 |
|
| 2019 |
Yıldız İ, Tian P, Dy J, Erdoğmuş D, Brown J, Kalpathy-Cramer J, Ostmo S, Peter Campbell J, Chiang MF, Ioannidis S. Classification and comparison via neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 118: 65-80. PMID 31254769 DOI: 10.1016/J.Neunet.2019.06.004 |
0.232 |
|
| 2019 |
Taylor S, Brown JM, Gupta K, Campbell JP, Ostmo S, Chan RVP, Dy J, Erdogmus D, Ioannidis S, Kim SJ, Kalpathy-Cramer J, Chiang MF. Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning. Jama Ophthalmology. PMID 31268518 DOI: 10.1001/Jamaophthalmol.2019.2433 |
0.231 |
|
| 2020 |
Kim A, Cardona J, Chang K, Beers A, Brown J, Emblem K, Kalpathy-Cramer J, Lee E, Lin N, Tolaney S, Nayak L, Chukwueke U, Oh K, Shih H, White M, et al. NIMG-05. ADVANCED IMAGING TO ASSESS LONGITUDINAL VASCULAR CHANGES IN BRAIN METASTASES TREATED WITH CHECKPOINT INHIBITION Neuro-Oncology. 22: ii147-ii147. DOI: 10.1093/neuonc/noaa215.618 |
0.23 |
|
| 2018 |
Campbell JP, Brown J, Chan RP, Dy J, Ioannidis S, Erdogmus D, Kalpathy-Cramer J, Chiang MF. Automated diagnosis of plus disease in retinopathy of prematurity using deep learning Journal of American Association For Pediatric Ophthalmology and Strabismus. 22: e12. DOI: 10.1016/J.Jaapos.2018.07.036 |
0.225 |
|
| 2019 |
Silva MA, Patel J, Kavouridis V, Gallerani T, Beers A, Chang K, Hoebel KV, Brown J, See AP, Gormley WB, Aziz-Sultan MA, Kalpathy-Cramer J, Arnaout O, Patel NJ. Machine learning models can detect aneurysm rupture and identify clinical features associated with rupture. World Neurosurgery. PMID 31295616 DOI: 10.1016/J.Wneu.2019.06.231 |
0.224 |
|
| 2017 |
Campbell JP, Kalpathy-Cramer J, Erdogmus D, Ostmo S, Swan R, Sonmez K, Chan RP, Chiang MF. Plus disease in rop: why do experts disagree, and how can we improve diagnosis? Journal of American Association For Pediatric Ophthalmology and Strabismus. 21: e5-e6. DOI: 10.1016/J.Jaapos.2017.07.014 |
0.224 |
|
| 2021 |
Petrick N, Akbar S, Cha KH, Nofech-Mozes S, Sahiner B, Gavrielides MA, Kalpathy-Cramer J, Drukker K, Martel AL. SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment. Journal of Medical Imaging (Bellingham, Wash.). 8: 034501. PMID 33987451 DOI: 10.1117/1.JMI.8.3.034501 |
0.22 |
|
| 2021 |
Daye D, Tabari A, Kim H, Chang K, Kamran SC, Hong TS, Kalpathy-Cramer J, Gee MS. Quantitative tumor heterogeneity MRI profiling improves machine learning-based prognostication in patients with metastatic colon cancer. European Radiology. PMID 33454799 DOI: 10.1007/s00330-020-07673-0 |
0.214 |
|
| 2018 |
Kim SJ, Campbell JP, Kalpathy-Cramer J, Ostmo S, Jonas K, Chan RP, Chiang MF. Plus disease in retinopathy of prematurity: should diagnosis be eye-based or quadrant-based? Journal of American Association For Pediatric Ophthalmology and Strabismus. 22: e78. DOI: 10.1016/J.Jaapos.2018.07.287 |
0.213 |
|
| 2013 |
Ambady P, Holdhoff M, Ferrigno C, Grossman S, Anderson MD, Liu D, Conrad C, Penas-Prado M, Gilbert MR, Yung AWK, Groot Jd, Aoki T, Nishikawa R, Sugiyama K, Nonoguchi N, ... ... Kalpathy-Cramer J, et al. Neuro/Medical Oncology Neuro-Oncology. 15: 120-120. DOI: 10.1093/Neuonc/Not182 |
0.212 |
|
| 2019 |
Gupta K, Taylor S, Campbell JP, Kalpathy-Cramer J, Brown JM, Chan RVP, Kim SJ, Chiang MF. Deep learning for monitoring rop progression Journal of American Association For Pediatric Ophthalmology and Strabismus. 23: e8-e9. DOI: 10.1016/J.Jaapos.2019.08.023 |
0.211 |
|
| 2019 |
Chang K, Brown J, Beers A, Kalpathy-Cramer J, Ay H. Abstract 162: Viscerotoxic Brain Infarcts: The Results of Heart-Brain Interactions Study Stroke. 50. DOI: 10.1161/Str.50.Suppl_1.162 |
0.21 |
|
| 2020 |
Choi RY, Coyner AS, Kalpathy-Cramer J, Chiang MF, Campbell JP. Introduction to Machine Learning, Neural Networks, and Deep Learning. Translational Vision Science & Technology. 9: 14. PMID 32704420 DOI: 10.1167/Tvst.9.2.14 |
0.21 |
|
| 2020 |
Bell LC, Semmineh N, An H, Eldeniz C, Wahl R, Schmainda KM, Prah MA, Erickson BJ, Korfiatis P, Wu C, Sorace AG, Yankeelov TE, Rutledge N, Chenevert TL, Malyarenko D, ... ... Kalpathy-Cramer J, et al. Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge. Tomography (Ann Arbor, Mich.). 6: 203-208. PMID 32548297 DOI: 10.18383/j.tom.2020.00012 |
0.209 |
|
| 2011 |
Kalpathy-Cramer J, Bedrick SD, Boccia K, Fuller CD. A pilot prospective feasibility study of organ-at-risk definition using Target Contour Testing/Instructional Computer Software (TaCTICS), a training and evaluation platform for radiotherapy target delineation. Amia ... Annual Symposium Proceedings. Amia Symposium. 2011: 654-63. PMID 22195121 |
0.207 |
|
| 2016 |
Campbell JP, Ataer-Cansizoglu E, Bolon-Canedo V, Erdogmus D, Kalpathy-Cramer J, Patel S, Chan R, Chiang MF. Plus disease: is it more than meets the ICROP? Journal of American Association For Pediatric Ophthalmology and Strabismus. 20: e2. DOI: 10.1016/J.Jaapos.2016.07.008 |
0.206 |
|
| 2018 |
Coyner AS, Swan R, Brown JM, Kalpathy-Cramer J, Kim SJ, Campbell JP, Jonas KE, Ostmo S, Chan RVP, Chiang MF. Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. Amia ... Annual Symposium Proceedings. Amia Symposium. 2018: 1224-1232. PMID 30815164 |
0.206 |
|
| 2021 |
Tsai EB, Simpson S, Lungren M, Hershman M, Roshkovan L, Colak E, Erickson BJ, Shih G, Stein A, Kalpathy-Cramer J, Shen J, Hafez M, John S, Rajiah P, Pogatchnik BP, et al. The RSNA International COVID-19 Open Annotated Radiology Database (RICORD). Radiology. 203957. PMID 33399506 DOI: 10.1148/radiol.2021203957 |
0.204 |
|
| 2013 |
Keck KM, Kalpathy-Cramer J, Ataer-Cansizoglu E, You S, Erdogmus D, Chiang MF. Plus disease diagnosis in retinopathy of prematurity: vascular tortuosity as a function of distance from optic disk. Retina (Philadelphia, Pa.). 33: 1700-7. PMID 23538582 DOI: 10.1097/Iae.0B013E3182845C39 |
0.203 |
|
| 2020 |
Li MD, Chang K, Bearce B, Chang CY, Huang AJ, Campbell JP, Brown JM, Singh P, Hoebel KV, Erdoğmuş D, Ioannidis S, Palmer WE, Chiang MF, Kalpathy-Cramer J. Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. Npj Digital Medicine. 3: 48. PMID 32258430 DOI: 10.1038/s41746-020-0255-1 |
0.203 |
|
| 2016 |
Farahani K, Kalpathy-Cramer J, Chenevert TL, Rubin DL, Sunderland JJ, Nordstrom RJ, Buatti J, Hylton N. Computational Challenges and Collaborative Projects in the NCI Quantitative Imaging Network. Tomography : a Journal For Imaging Research. 2: 242-249. PMID 28798963 DOI: 10.18383/j.tom.2016.00265 |
0.202 |
|
| 2021 |
Li MD, Chang K, Mei X, Bernheim A, Chung M, Steinberger SR, Kalpathy-Cramer J, Little BP. Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the Special Series on AI Applications. Ajr. American Journal of Roentgenology. PMID 34612681 DOI: 10.2214/AJR.21.26717 |
0.199 |
|
| 2016 |
Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, LaViolette PS, Oborski MJ, O'Sullivan F, Abramson RG, Jafari-Khouzani K, Afzal A, Tudorica A, Moloney B, ... ... Kalpathy-Cramer J, et al. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge. Tomography : a Journal For Imaging Research. 2: 56-66. PMID 27200418 DOI: 10.18383/j.tom.2015.00184 |
0.198 |
|
| 2014 |
Kalpathy-Cramer J, Freymann JB, Kirby JS, Kinahan PE, Prior AFW. Quantitative imaging network: Data sharing and competitive algorithm validation leveraging the cancer imaging archive Translational Oncology. 7: 147-152. DOI: 10.1593/tlo.13862 |
0.198 |
|
| 2023 |
Mehta R, Filos A, Baid U, Sako C, McKinley R, Rebsamen M, Dätwyler K, Meier R, Radojewski P, Murugesan GK, Nalawade S, Ganesh C, Wagner B, Yu FF, Fei B, ... ... Kalpathy-Cramer J, et al. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results. The Journal of Machine Learning For Biomedical Imaging. 2022. PMID 36998700 |
0.197 |
|
| 2017 |
Lee A, Taylor P, Kalpathy-Cramer J, Tufail A. Machine Learning Has Arrived! Ophthalmology. 124: 1726-1728. PMID 29157423 DOI: 10.1016/J.Ophtha.2017.08.046 |
0.194 |
|
| 2023 |
Drukker K, Chen W, Gichoya J, Gruszauskas N, Kalpathy-Cramer J, Koyejo S, Myers K, Sá RC, Sahiner B, Whitney H, Zhang Z, Giger M. Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of Medical Imaging (Bellingham, Wash.). 10: 061104. PMID 37125409 DOI: 10.1117/1.JMI.10.6.061104 |
0.19 |
|
| 2024 |
Li W, Partridge SC, Newitt DC, Steingrimsson J, Marques HS, Bolan PJ, Hirano M, Bearce BA, Kalpathy-Cramer J, Boss MA, Teng X, Zhang J, Cai J, Kontos D, Cohen EA, et al. Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiology. Imaging Cancer. 6: e230033. PMID 38180338 DOI: 10.1148/rycan.230033 |
0.189 |
|
| 2017 |
Saltz J, Almeida J, Gao Y, Sharma A, Bremer E, DiPrima T, Saltz M, Kalpathy-Cramer J, Kurc T. Towards Generation, Management, and Exploration of Combined Radiomics and Pathomics Datasets for Cancer Research. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2017: 85-94. PMID 28815113 |
0.188 |
|
| 2024 |
Kitamura FC, Prevedello LM, Colak E, Halabi SS, Lungren MP, Ball R, Kalpathy-Cramer J, Kahn CE, Richards T, Talbott JF, Shih G, Lin HM, Andriole KP, Vazirabad M, Erickson BJ, et al. Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial Intelligence. e230227. PMID 38477659 DOI: 10.1148/ryai.230227 |
0.187 |
|
| 2023 |
Egemen D, Perkins RB, Cheung LC, Befano B, Rodriguez AC, Desai K, Lemay A, Ahmed SR, Antani S, Jeronimo J, Wentzensen N, Kalpathy-Cramer J, De Sanjose S, Schiffman M. AI-based image analysis in clinical testing: lessons from cervical cancer screening. Journal of the National Cancer Institute. PMID 37758250 DOI: 10.1093/jnci/djad202 |
0.187 |
|
| 2020 |
Coyner AS, Chen J, Campbell JP, Ostmo S, Singh P, Kalpathy-Cramer J, Chiang MF. Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity. Amia ... Annual Symposium Proceedings. Amia Symposium. 2020: 329-337. PMID 33936405 |
0.183 |
|
| 2019 |
Bell LC, Semmineh N, An H, Eldeniz C, Wahl R, Schmainda KM, Prah MA, Erickson BJ, Korfiatis P, Wu C, Sorace AG, Yankeelov TE, Rutledge N, Chenevert TL, Malyarenko D, ... ... Kalpathy-Cramer J, et al. Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO). Tomography (Ann Arbor, Mich.). 5: 110-117. PMID 30854448 DOI: 10.18383/j.tom.2018.00041 |
0.183 |
|
| 2022 |
Bridge CP, Gorman C, Pieper S, Doyle SW, Lennerz JK, Kalpathy-Cramer J, Clunie DA, Fedorov AY, Herrmann MD. Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. Journal of Digital Imaging. PMID 35995898 DOI: 10.1007/s10278-022-00683-y |
0.183 |
|
| 2022 |
Coyner AS, Chen JS, Chang K, Singh P, Ostmo S, Chan RVP, Chiang MF, Kalpathy-Cramer J, Campbell JP. Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis. Ophthalmology Science. 2: 100126. PMID 36249693 DOI: 10.1016/j.xops.2022.100126 |
0.181 |
|
| 2021 |
Balagurunathan Y, Beers A, McNitt-Gray M, Hadjiiski L, Napel S, Goldgof D, Perez G, Arbelaez P, Mehrtash A, Kapur T, Yang E, Moon JW, Bernardino G, Delgado-Gonzalo R, Mehdi Farhangi M, ... ... Kalpathy-Cramer J, et al. Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. Ieee Transactions On Medical Imaging. PMID 34264825 DOI: 10.1109/TMI.2021.3097665 |
0.179 |
|
| 2023 |
Deng B, Gu H, Zhu H, Chang K, Hoebel KV, Patel JB, Kalpathy-Cramer J, Carp SA. FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction. Ieee Transactions On Medical Imaging. PMID 37028063 DOI: 10.1109/TMI.2023.3252576 |
0.179 |
|
| 2022 |
Bridge CP, Best TD, Wrobel MM, Marquardt JP, Magudia K, Javidan C, Chung JH, Kalpathy-Cramer J, Andriole KP, Fintelmann FJ. A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans. Radiology. Artificial Intelligence. 4: e210080. PMID 35146434 DOI: 10.1148/ryai.210080 |
0.177 |
|
| 2024 |
Lorenzo G, Ahmed SR, Hormuth Ii DA, Vaughn B, Kalpathy-Cramer J, Solorio L, Yankeelov TE, Gomez H. Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data. Annual Review of Biomedical Engineering. PMID 38594947 DOI: 10.1146/annurev-bioeng-081623-025834 |
0.175 |
|
| 2023 |
Lorenzo G, Ahmed SR, Ii DAH, Vaughn B, Kalpathy-Cramer J, Solorio L, Yankeelov TE, Gomez H. Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data. Arxiv. PMID 37693182 |
0.174 |
|
| 2019 |
Prevedello LM, Halabi SS, Shih G, Wu CC, Kohli MD, Chokshi FH, Erickson BJ, Kalpathy-Cramer J, Andriole KP, Flanders AE. Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions. Radiology. Artificial Intelligence. 1: e180031. PMID 33937783 DOI: 10.1148/ryai.2019180031 |
0.174 |
|
| 2022 |
Cole E, Park SH, Kim SJ, Kang KB, Valikodath N, Al-Khaled T, Patel SN, Jonas KE, Ostmo S, Coyner A, Berrocal A, Drenser KA, Nagiel A, Horowitz JD, Lee TC, ... Kalpathy-Cramer J, et al. Variability in plus disease diagnosis using single and serial images. Ophthalmology. Retina. PMID 35659941 DOI: 10.1016/j.oret.2022.05.024 |
0.172 |
|
| 2024 |
Hoebel KV, Bridge CP, Ahmed S, Akintola O, Chung C, Huang RY, Johnson JM, Kim A, Ly KI, Chang K, Patel J, Pinho M, Batchelor TT, Rosen BR, Gerstner ER, ... Kalpathy-Cramer J, et al. Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial Intelligence. 6: e220231. PMID 38197800 DOI: 10.1148/ryai.220231 |
0.169 |
|
| 2022 |
Robinson-Weiss C, Patel J, Bizzo BC, Glazer DI, Bridge CP, Andriole KP, Dabiri B, Chin JK, Dreyer K, Kalpathy-Cramer J, Mayo-Smith WW. Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT. Radiology. 220101. PMID 36125375 DOI: 10.1148/radiol.220101 |
0.168 |
|
| 2019 |
Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, LaViolette PS, Oborski MJ, O'Sullivan F, Abramson RG, Jafari-Khouzani K, Afzal A, Tudorica A, Moloney B, ... ... Kalpathy-Cramer J, et al. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II. Tomography (Ann Arbor, Mich.). 5: 99-109. PMID 30854447 DOI: 10.18383/j.tom.2018.00027 |
0.168 |
|
| 2023 |
Coyner AS, Singh P, Brown JM, Ostmo S, Chan RVP, Chiang MF, Kalpathy-Cramer J, Campbell JP. Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images. Jama Ophthalmology. PMID 37140902 DOI: 10.1001/jamaophthalmol.2023.1310 |
0.167 |
|
| 2023 |
Kim AE, Lou KW, Giobbie-Hurder A, Chang K, Gidwani M, Hoebel K, Patel JB, Cleveland MC, Singh P, Bridge CP, Ahmed SR, Bearce BA, Liu W, Fuster-Garcia E, Lee EQ, ... ... Kalpathy-Cramer J, et al. Structural and functional vascular dysfunction within brain metastases is linked to pembrolizumab inefficacy. Biorxiv : the Preprint Server For Biology. PMID 37693537 DOI: 10.1101/2023.08.25.554868 |
0.166 |
|
| 2020 |
Kirby J, Prior F, Petrick N, Hadjiski L, Farahani K, Drukker K, Kalpathy-Cramer J, Glide-Hurst C, El Naqa I. Introduction to Special Issue on Datasets hosted in The Cancer Imaging Archive (TCIA). Medical Physics. PMID 33202038 DOI: 10.1002/mp.14595 |
0.164 |
|
| 2021 |
Talati P, El-Abtah M, Kim D, Dietrich J, Fu M, Wenke M, He J, Natheir SN, Vangel M, Rapalino O, Vaynrub A, Arrillaga-Romany I, Forst DA, Yen YF, Andronesi O, ... Kalpathy-Cramer J, et al. MR spectroscopic imaging predicts early response to anti-angiogenic therapy in recurrent glioblastoma. Neuro-Oncology Advances. 3: vdab060. PMID 34131648 DOI: 10.1093/noajnl/vdab060 |
0.164 |
|
| 2022 |
Lemay A, Hoebel K, Bridge CP, Befano B, De Sanjosé S, Egemen D, Rodriguez AC, Schiffman M, Campbell JP, Kalpathy-Cramer J. Improving the repeatability of deep learning models with Monte Carlo dropout. Npj Digital Medicine. 5: 174. PMID 36400939 DOI: 10.1038/s41746-022-00709-3 |
0.163 |
|
| 2023 |
Hoebel KV, Bridge CP, Kim A, Gerstner ER, Ly IK, Deng F, DeSalvo MN, Diettrich J, Huang R, Huang SY, Pomerantz SR, Vagvala S, Rosen BR, Kalpathy-Cramer J. Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts. Academic Radiology. PMID 37951777 DOI: 10.1016/j.acra.2023.10.019 |
0.162 |
|
| 2021 |
Lang M, Li MD, Jiang KZ, Yoon BC, Mendoza DP, Flores EJ, Rincon SP, Mehan WA, Conklin J, Huang SY, Lang AL, Giao DM, Leslie-Mazwi TM, Kalpathy-Cramer J, Little BP, et al. Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19. Ajnr. American Journal of Neuroradiology. PMID 33541897 DOI: 10.3174/ajnr.A7032 |
0.162 |
|
| 2020 |
McNitt-Gray M, Napel S, Jaggi A, Mattonen SA, Hadjiiski L, Muzi M, Goldgof D, Balagurunathan Y, Pierce LA, Kinahan PE, Jones EF, Nguyen A, Virkud A, Chan HP, Emaminejad N, ... ... Kalpathy-Cramer J, et al. Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets. Tomography (Ann Arbor, Mich.). 6: 118-128. PMID 32548288 DOI: 10.18383/j.tom.2019.00031 |
0.161 |
|
| 2020 |
Fedorov A, Beichel R, Kalpathy-Cramer J, Clunie D, Onken M, Riesmeier J, Herz C, Bauer C, Beers A, Fillion-Robin JC, Lasso A, Pinter C, Pieper S, Nolden M, Maier-Hein K, et al. Quantitative Imaging Informatics for Cancer Research. Jco Clinical Cancer Informatics. 4: 444-453. PMID 32392097 DOI: 10.1200/CCI.19.00165 |
0.16 |
|
| 2023 |
Whitney HM, Baughan N, Myers KJ, Drukker K, Gichoya J, Bower B, Chen W, Gruszauskas N, Kalpathy-Cramer J, Koyejo S, Sá RC, Sahiner B, Zhang Z, Giger ML. Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. Journal of Medical Imaging (Bellingham, Wash.). 10: 61105. PMID 37469387 DOI: 10.1117/1.JMI.10.6.061105 |
0.159 |
|
| 2023 |
Ly KI, Richardson LG, Liu M, Muzikansky A, Cardona J, Lou K, Beers AL, Chang K, Brown JM, Ma X, Reardon DA, Arrillaga-Romany IC, Forst DA, Jordan JT, Lee EQ, ... ... Kalpathy-Cramer J, et al. Bavituximab decreases immunosuppressive myeloid-derived suppressor cells in newly diagnosed glioblastoma patients. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 37327319 DOI: 10.1158/1078-0432.CCR-23-0203 |
0.159 |
|
| 2016 |
Peng Tian, Ataer-Cansizoglu E, Kalpathy-Cramer J, Ostmo S, Jonas K, Chan RV, Campbell JP, Chiang MF, Erdogmus D. Toward a severity index for ROP: An unsupervised approach. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2016: 1312-1315. PMID 28268567 DOI: 10.1109/EMBC.2016.7590948 |
0.159 |
|
| 2021 |
Chen JS, Coyner AS, Chan RVP, Hartnett ME, Moshfeghi DM, Owen LA, Kalpathy-Cramer J, Chiang MF, Campbell JP. Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks. Ophthalmology Science. 1: 100079. PMID 36246951 DOI: 10.1016/j.xops.2021.100079 |
0.159 |
|
| 2021 |
Li MD, Ahmed SR, Choy E, Lozano-Calderon SA, Kalpathy-Cramer J, Chang CY. Artificial intelligence applied to musculoskeletal oncology: a systematic review. Skeletal Radiology. PMID 34013447 DOI: 10.1007/s00256-021-03820-w |
0.159 |
|
| 2023 |
Ahmed SR, Befano B, Lemay A, Egemen D, Rodriguez AC, Angara S, Desai K, Jeronimo J, Antani S, Campos N, Inturrisi F, Perkins R, Kreimer A, Wentzensen N, Herrero R, ... ... Kalpathy-Cramer J, et al. Reproducible and Clinically Translatable Deep Neural Networks for Cancer Screening. Research Square. PMID 36909463 DOI: 10.21203/rs.3.rs-2526701/v1 |
0.158 |
|
| 2021 |
Morales MA, van den Boomen M, Nguyen C, Kalpathy-Cramer J, Rosen BR, Stultz CM, Izquierdo-Garcia D, Catana C. DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics. Frontiers in Cardiovascular Medicine. 8: 730316. PMID 34540923 DOI: 10.3389/fcvm.2021.730316 |
0.158 |
|
| 2023 |
Young BK, Cole ED, Shah PK, Ostmo S, Subramaniam P, Venkatapathy N, Tsai ASH, Coyner AS, Gupta A, Singh P, Chiang MF, Kalpathy-Cramer J, Chan RVP, Campbell JP. Efficacy of Smartphone-Based Telescreening for Retinopathy of Prematurity With and Without Artificial Intelligence in India. Jama Ophthalmology. PMID 37166816 DOI: 10.1001/jamaophthalmol.2023.1466 |
0.156 |
|
| 2010 |
Kalpathy-Cramer J, Fuller CD. Target Contour Testing/Instructional Computer Software (TaCTICS): A Novel Training and Evaluation Platform for Radiotherapy Target Delineation. Amia ... Annual Symposium Proceedings. Amia Symposium. 2010: 361-5. PMID 21347001 |
0.156 |
|
| 2007 |
Bedrick S, Kalpathy-Cramer J. A Ferret-based gastrointestinal image retrieval system. Amia ... Annual Symposium Proceedings. Amia Symposium. 868. PMID 18693969 |
0.156 |
|
| 2023 |
Ahmed SR, Befano B, Lemay A, Egemen D, Rodriguez AC, Angara S, Desai K, Jeronimo J, Antani S, Campos N, Inturrisi F, Perkins R, Kreimer A, Wentzensen N, Herrero R, ... ... Kalpathy-Cramer J, et al. Reproducible and clinically translatable deep neural networks for cervical screening. Scientific Reports. 13: 21772. PMID 38066031 DOI: 10.1038/s41598-023-48721-1 |
0.155 |
|
| 2020 |
Gerstner ER, Emblem KE, Yen YF, Dietrich J, Jordan JT, Catana C, Wenchin KL, Hooker JM, Duda DG, Rosen BR, Kalpathy-Cramer J, Jain RK, Batchelor TT. Vascular dysfunction promotes regional hypoxia after bevacizumab therapy in recurrent glioblastoma patients. Neuro-Oncology Advances. 2: vdaa157. PMID 33392506 DOI: 10.1093/noajnl/vdaa157 |
0.155 |
|
| 2021 |
Mongan J, Kalpathy-Cramer J, Flanders A, George Linguraru M. RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications. Radiology. Artificial Intelligence. 3: e210118. PMID 34617032 DOI: 10.1148/ryai.2021210118 |
0.153 |
|
| 2012 |
Dizdaroğlu B, Ataer-Cansizoglu E, Kalpathy-Cramer J, Keck K, Chiang MF, Erdogmus D. Level Sets for Retinal Vasculature Segmentation Using Seeds from Ridges and Edges from Phase Maps. Ieee International Workshop On Machine Learning For Signal Processing : [Proceedings]. Ieee International Workshop On Machine Learning For Signal Processing. 1-6. PMID 24975694 DOI: 10.1109/MLSP.2012.6349730 |
0.15 |
|
| 2020 |
Zhang JL, Conlin CC, Li X, Layec G, Chang K, Kalpathy-Cramer J, Lee VS. Exercise-induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approach. Physiological Reports. 8: e14563. PMID 32812401 DOI: 10.14814/phy2.14563 |
0.146 |
|
| 2022 |
Gidwani M, Chang K, Patel JB, Hoebel KV, Ahmed SR, Singh P, Fuller CD, Kalpathy-Cramer J. Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models. Radiology. 220715. PMID 36537895 DOI: 10.1148/radiol.220715 |
0.14 |
|
| 2021 |
Hoebel KV, Patel JB, Beers AL, Chang K, Singh P, Brown JM, Pinho MC, Batchelor TT, Gerstner ER, Rosen BR, Kalpathy-Cramer J. Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma. Radiology. Artificial Intelligence. 3: e190199. PMID 33842889 DOI: 10.1148/ryai.2020190199 |
0.14 |
|
| 2020 |
Daye D, Tabari A, Kim H, Chang K, Orama SB, Bai H, Kalva S, Gee M, Kalpathy-Cramer J, Wehrenberg-Klee E, Uppot R. 3:36 PM Abstract No. 36 Machine learning-based radiomic features on pre-ablation magnetic resonance imaging as predictors of pathologic response in patients with hepatocellular carcinoma listed for hepatic transplant Journal of Vascular and Interventional Radiology. 31. DOI: 10.1016/J.Jvir.2019.12.058 |
0.138 |
|
| 2016 |
Kalpathy-Cramer J, Mamomov A, Zhao B, Lu L, Cherezov D, Napel S, Echegaray S, Rubin D, McNitt-Gray M, Lo P, Sieren JC, Uthoff J, Dilger SK, Driscoll B, Yeung I, et al. Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. Tomography : a Journal For Imaging Research. 2: 430-437. PMID 28149958 DOI: 10.18383/j.tom.2016.00235 |
0.136 |
|
| 2020 |
Li MD, Arun NT, Gidwani M, Chang K, Deng F, Little BP, Mendoza DP, Lang M, Lee SI, O'Shea A, Parakh A, Singh P, Kalpathy-Cramer J. Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks. Medrxiv : the Preprint Server For Health Sciences. PMID 32511570 DOI: 10.1101/2020.05.20.20108159 |
0.136 |
|
| 2021 |
Peng J, Kim DD, Patel JB, Zeng X, Huang J, Chang K, Xun X, Zhang C, Sollee J, Wu J, Dalal DJ, Feng X, Zhou H, Zhu C, Zou B, ... ... Kalpathy-Cramer J, et al. Deep Learning-Based Automatic Tumor Burden Assessment of Pediatric High-Grade Gliomas, Medulloblastomas, and Other Leptomeningeal Seeding Tumors. Neuro-Oncology. PMID 34174070 DOI: 10.1093/neuonc/noab151 |
0.135 |
|
| 2024 |
Schmidt K, Bearce B, Chang K, Coombs L, Farahani K, Elbatel M, Mouheb K, Marti R, Zhang R, Zhang Y, Wang Y, Hu Y, Ying H, Xu Y, Testagrose C, ... ... Kalpathy-Cramer J, et al. Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Analysis. 95: 103206. PMID 38776844 DOI: 10.1016/j.media.2024.103206 |
0.134 |
|
| 2021 |
Arun N, Gaw N, Singh P, Chang K, Aggarwal M, Chen B, Hoebel K, Gupta S, Patel J, Gidwani M, Adebayo J, Li MD, Kalpathy-Cramer J. Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. Radiology. Artificial Intelligence. 3: e200267. PMID 34870212 DOI: 10.1148/ryai.2021200267 |
0.132 |
|
| 2022 |
Hanif A, Yıldız İ, Tian P, Kalkanlı B, Erdoğmuş D, Ioannidis S, Dy J, Kalpathy-Cramer J, Ostmo S, Jonas K, Chan RVP, Chiang MF, Campbell JP. Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class Labels. Ophthalmology Science. 2: 100122. PMID 36249702 DOI: 10.1016/j.xops.2022.100122 |
0.132 |
|
| 2021 |
Li MD, Little BP, Alkasab TK, Mendoza DP, Succi MD, Shepard JO, Lev MH, Kalpathy-Cramer J. Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs. Academic Radiology. PMID 33485773 DOI: 10.1016/j.acra.2021.01.016 |
0.132 |
|
| 2023 |
Gupta S, Kumar S, Chang K, Lu C, Singh P, Kalpathy-Cramer J. Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data. Radiographics : a Review Publication of the Radiological Society of North America, Inc. 43: e220107. PMID 36862082 DOI: 10.1148/rg.220107 |
0.132 |
|
| 2010 |
Wang SJ, Kalpathy-Cramer J, Kim JS, Fuller CD, Thomas CR. Parametric survival models for predicting the benefit of adjuvant chemoradiotherapy in gallbladder cancer. Amia ... Annual Symposium Proceedings. Amia Symposium. 2010: 847-51. PMID 21347098 |
0.13 |
|
| 2022 |
Zhang M, Qu L, Singh P, Kalpathy-Cramer J, L Rubin D. SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging. Ieee Journal of Biomedical and Health Informatics. PMID 35749336 DOI: 10.1109/JBHI.2022.3185956 |
0.125 |
|
| 2023 |
Lycke KD, Kalpathy-Cramer J, Jeronimo J, de Sanjose S, Egemen D, Del Pino M, Marcus J, Schiffman M, Hammer A. Agreement on Lesion Presence and Location at Colposcopy. Journal of Lower Genital Tract Disease. PMID 37963327 DOI: 10.1097/LGT.0000000000000786 |
0.124 |
|
| 2022 |
Ardestani A, Li MD, Chea P, Wortman JR, Medina A, Kalpathy-Cramer J, Wald C. External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World. Journal of the American College of Radiology : Jacr. PMID 35483438 DOI: 10.1016/j.jacr.2022.03.013 |
0.123 |
|
| 2022 |
Chavva IR, Crawford AL, Mazurek MH, Yuen MM, Prabhat AM, Payabvash S, Sze G, Falcone GJ, Matouk CC, de Havenon A, Kim JA, Sharma R, Schiff SJ, Rosen MS, Kalpathy-Cramer J, et al. Deep Learning Applications for Acute Stroke Management. Annals of Neurology. PMID 35689531 DOI: 10.1002/ana.26435 |
0.123 |
|
| 2020 |
Torrado-Carvajal A, Toschi N, Albrecht DS, Chang K, Akeju O, Kim M, Edwards RR, Zhang Y, Hooker JM, Duggento A, Kalpathy-Cramer J, Napadow V, Loggia ML. Thalamic neuroinflammation as a reproducible and discriminating signature for chronic low back pain. Pain. PMID 33065737 DOI: 10.1097/j.pain.0000000000002108 |
0.121 |
|
| 2021 |
Mukerji SS, Das S, Alabsi H, Brenner LN, Jain A, Magdamo C, Collens SI, Ye E, Keller K, Boutros CL, Leone MJ, Newhouse A, Foy B, Li MD, Lang M, ... ... Kalpathy-Cramer J, et al. Prolonged Intubation in Patients With Prior Cerebrovascular Disease and COVID-19. Frontiers in Neurology. 12: 642912. PMID 33897598 DOI: 10.3389/fneur.2021.642912 |
0.12 |
|
| 2022 |
Trivedi A, Robinson C, Blazes M, Ortiz A, Desbiens J, Gupta S, Dodhia R, Bhatraju PK, Liles WC, Kalpathy-Cramer J, Lee AY, Lavista Ferres JM. Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement. Plos One. 17: e0274098. PMID 36201483 DOI: 10.1371/journal.pone.0274098 |
0.118 |
|
| 2021 |
Peng J, Kim DD, Patel JB, Zeng X, Huang J, Chang K, Xun X, Zhang C, Sollee J, Wu J, Dalal DJ, Feng X, Zhou H, Zhu C, Zou B, ... ... Kalpathy-Cramer J, et al. Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors. Neuro-Oncology. PMID 34551090 DOI: 10.1093/neuonc/noab226 |
0.117 |
|
| 2021 |
Robinson C, Trivedi A, Blazes M, Ortiz A, Desbiens J, Gupta S, Dodhia R, Bhatraju PK, Liles WC, Lee A, Kalpathy-Cramer J, Lavista Ferres JM. Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement. Medrxiv : the Preprint Server For Health Sciences. PMID 33594382 DOI: 10.1101/2021.02.11.20196766 |
0.117 |
|
| 2022 |
Kumar S, Lakshminarayanan A, Chang K, Guretno F, Mien IH, Kalpathy-Cramer J, Krishnaswamy P, Singh P. Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling. Distributed, Collaborative, and Federated Learning, and Affordable Ai and Healthcare For Resource Diverse Global Health : Third Miccai Workshop, Decaf 2022 and Second Miccai Workshop, Fair 2022, Held in Conjunction With Miccai 2022, Sin.... 13573: 119-129. PMID 36745141 DOI: 10.1007/978-3-031-18523-6_12 |
0.117 |
|
| 2024 |
de Sanjosé S, Perkins RB, Campos N, Inturrisi F, Egemen D, Befano B, Rodriguez AC, Jerónimo J, Cheung LC, Desai K, Han P, Novetsky AP, Ukwuani A, Marcus J, Ahmed SR, ... ... Kalpathy-Cramer J, et al. Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy. Elife. 12. PMID 38224340 DOI: 10.7554/eLife.91469 |
0.116 |
|
| 2023 |
AlRyalat SA, Singh P, Kalpathy-Cramer J, Kahook MY. Artificial Intelligence and Glaucoma: Going Back to Basics. Clinical Ophthalmology (Auckland, N.Z.). 17: 1525-1530. PMID 37284059 DOI: 10.2147/OPTH.S410905 |
0.114 |
|
| 2023 |
Kontos D, Kalpathy-Cramer J. Breast Cancer Risk Assessment in the AI Era: The Importance of Model Validation in Ethnically Diverse Cohorts. Radiology. Artificial Intelligence. 5: e230462. PMID 38074794 DOI: 10.1148/ryai.230462 |
0.112 |
|
| 2023 |
Jang I, Hoffmann M, Singh N, Balbastre Y, Chen L, Rockenbach MABC, Dalca A, Aganj I, Kalpathy-Cramer J, Fischl B, Frost R. Clinical evaluation of k-space correlation informed motion artifact detection in segmented multi-slice MRI. Proceedings of the International Society For Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society For Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2023. PMID 37565069 |
0.111 |
|
| 2021 |
Chung C, Kalpathy-Cramer J, Knopp MV, Jaffray DA. In the Era of Deep Learning, Why Reconstruct an Image at All? Journal of the American College of Radiology : Jacr. 18: 170-173. PMID 33413895 DOI: 10.1016/j.jacr.2020.09.050 |
0.11 |
|
| 2022 |
Cox M, Reid N, Panagides JC, Di Capua J, DeCarlo C, Dua A, Kalva S, Kalpathy-Cramer J, Daye D. Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial Disease. Cardiovascular and Interventional Radiology. 45: 633-640. PMID 35322303 DOI: 10.1007/s00270-022-03111-4 |
0.11 |
|
| 2021 |
Chen JS, Coyner AS, Ostmo S, Sonmez K, Bajimaya S, Pradhan E, Valikodath N, Cole ED, Al-Khaled T, Chan RVP, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP. Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras. Ophthalmology. Retina. PMID 33561545 DOI: 10.1016/j.oret.2020.12.013 |
0.108 |
|
| 2023 |
Perkins RB, Smith DL, Jeronimo J, Campos NG, Gage JC, Hansen N, Rodriguez AC, Cheung LC, Egemen D, Befano B, Novetsky AP, Martins S, Kalpathy-Cramer J, Inturrisi F, Ahmed SR, et al. Use of risk-based cervical screening programs in resource-limited settings. Cancer Epidemiology. 84: 102369. PMID 37105017 DOI: 10.1016/j.canep.2023.102369 |
0.108 |
|
| 2022 |
Cox M, Panagides JC, Tabari A, Kalva S, Kalpathy-Cramer J, Daye D. Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease. Plos One. 17: e0277507. PMID 36409699 DOI: 10.1371/journal.pone.0277507 |
0.107 |
|
| 2020 |
Li MD, Lang M, Deng F, Chang K, Buch K, Rincon S, Mehan WA, Leslie-Mazwi TM, Kalpathy-Cramer J. Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports. Ajnr. American Journal of Neuroradiology. PMID 33334851 DOI: 10.3174/ajnr.A6961 |
0.106 |
|
| 2022 |
Campbell JP, Chiang MF, Chen JS, Moshfeghi DM, Nudleman E, Ruambivoonsuk P, Cherwek H, Cheung CY, Singh P, Kalpathy-Cramer J, Ostmo S, Eydelman M, Chan RVP, Capone A. Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis. Ophthalmology. PMID 35157950 DOI: 10.1016/j.ophtha.2022.02.008 |
0.105 |
|
| 2022 |
Li MD, Arun NT, Aggarwal M, Gupta S, Singh P, Little BP, Mendoza DP, Corradi GCA, Takahashi MS, Ferraciolli SF, Succi MD, Lang M, Bizzo BC, Dayan I, Kitamura FC, ... Kalpathy-Cramer J, et al. Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19. Medicine. 101: e29587. PMID 35866818 DOI: 10.1097/MD.0000000000029587 |
0.104 |
|
| 2021 |
Gibson LE, Fenza RD, Lang M, Capriles MI, Li MD, Kalpathy-Cramer J, Little BP, Arora P, Mueller AL, Ichinose F, Bittner EA, Berra L, G Chang M. Right Ventricular Strain Is Common in Intubated COVID-19 Patients and Does Not Reflect Severity of Respiratory Illness. Journal of Intensive Care Medicine. 8850666211006335. PMID 33783269 DOI: 10.1177/08850666211006335 |
0.101 |
|
| 2023 |
Konz N, Buda M, Gu H, Saha A, Yang J, Chledowski J, Park J, Witowski J, Geras KJ, Shoshan Y, Gilboa-Solomon F, Khapun D, Ratner V, Barkan E, Ozery-Flato M, ... ... Kalpathy-Cramer J, et al. A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis. Jama Network Open. 6: e230524. PMID 36821110 DOI: 10.1001/jamanetworkopen.2023.0524 |
0.101 |
|
| 2023 |
Tan TF, Thirunavukarasu AJ, Campbell JP, Keane PA, Pasquale LR, Abramoff MD, Kalpathy-Cramer J, Lum F, Kim JE, Baxter SL, Ting DSW. Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology: Clinical Applications and Challenges. Ophthalmology Science. 3: 100394. PMID 37885755 DOI: 10.1016/j.xops.2023.100394 |
0.1 |
|
| 2023 |
Kim AE, Lou KW, Giobbie-Hurder A, Chang K, Gidwani M, Hoebel K, Patel JB, Cleveland MC, Singh P, Bridge CP, Ahmed SR, Bearce BA, Liu W, Fuster-Garcia E, Lee EQ, ... ... Kalpathy-Cramer J, et al. Abnormal vascular structure and function within brain metastases is linked to pembrolizumab resistance. Neuro-Oncology. PMID 38070147 DOI: 10.1093/neuonc/noad236 |
0.099 |
|
| 2023 |
de Sanjosé S, Perkins RB, Campos NG, Inturrisi F, Egemen D, Befano B, Rodriguez AC, Jerónimo J, Cheung LC, Desai K, Han P, Novetsky AP, Ukwuani A, Marcus J, Ahmed SR, ... ... Kalpathy-Cramer J, et al. Design of the HPV-Automated Visual Evaluation (PAVE) Study: Validating a Novel Cervical Screening Strategy. Medrxiv : the Preprint Server For Health Sciences. PMID 37693492 DOI: 10.1101/2023.08.30.23294826 |
0.098 |
|
| 2020 |
Li MD, Arun NT, Aggarwal M, Gupta S, Singh P, Little BP, Mendoza DP, Corradi GCA, Takahashi MS, Ferraciolli SF, Succi MD, Lang M, Bizzo BC, Dayan I, Kitamura FC, ... Kalpathy-Cramer J, et al. Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19. Medrxiv : the Preprint Server For Health Sciences. PMID 32995811 DOI: 10.1101/2020.09.15.20195453 |
0.097 |
|
| 2023 |
deCampos-Stairiker MA, Coyner AS, Gupta A, Oh M, Shah PK, Subramanian P, Venkatapathy N, Singh P, Kalpathy-Cramer J, Chiang MF, Chan RP, Campbell JP. Epidemiologic evaluation of retinopathy of prematurity severity in a large telemedicine program in India using artificial intelligence. Ophthalmology. PMID 37030453 DOI: 10.1016/j.ophtha.2023.03.026 |
0.097 |
|
| 2022 |
O'Shea A, Li MD, Mercaldo ND, Balthazar P, Som A, Yeung T, Succi MD, Little BP, Kalpathy-Cramer J, Lee SI. Intubation and mortality prediction in hospitalized COVID-19 patients using a combination of convolutional neural network-based scoring of chest radiographs and clinical data. Bjr Open. 4: 20210062. PMID 36105420 DOI: 10.1259/bjro.20210062 |
0.095 |
|
| 2023 |
Bhandari SM, Singh P, Arun N, Sekimitsu S, Raghu V, Rauscher FG, Elze T, Horn K, Kirsten T, Scholz M, Segrè AV, Wiggs JL, Kalpathy-Cramer J, Zebardast N. Automated detection of genetic relatedness from fundus photographs using Siamese Neural Networks. Medrxiv : the Preprint Server For Health Sciences. PMID 37662422 DOI: 10.1101/2023.08.16.23294183 |
0.093 |
|
| 2022 |
Patel NJ, D'Silva KM, Li MD, Hsu TY, DiIorio M, Fu X, Cook C, Prisco L, Martin L, Vanni KMM, Zaccardelli A, Zhang Y, Kalpathy-Cramer J, Sparks JA, Wallace ZS. Assessing the Severity of COVID-19 Lung Injury in Rheumatic Diseases versus the General Population Using Deep Learning-Derived Chest Radiograph Scores. Arthritis Care & Research. PMID 35313091 DOI: 10.1002/acr.24883 |
0.093 |
|
| 2023 |
Cox M, Panagides JC, Di Capua J, Dua A, Kalva S, Kalpathy-Cramer J, Daye D. An interpretable machine learning model for the prevention of contrast-induced nephropathy in patients undergoing lower extremity endovascular interventions for peripheral arterial disease. Clinical Imaging. 101: 1-7. PMID 37247523 DOI: 10.1016/j.clinimag.2023.05.011 |
0.093 |
|
| 2022 |
Hanif A, Lu C, Chang K, Singh P, Coyner AS, Brown JM, Ostmo S, Chan RP, Rubin D, Chiang MF, Kalpathy-Cramer J, Campbell JP. Federated learning for multi-center collaboration in ophthalmology: implications for clinical diagnosis and disease epidemiology. Ophthalmology. Retina. PMID 35304305 DOI: 10.1016/j.oret.2022.03.005 |
0.092 |
|
| 2022 |
Lu C, Hanif A, Singh P, Chang K, Coyner AS, Brown JM, Ostmo S, Chan RP, Rubin D, Chiang MF, Campbell JP, Kalpathy-Cramer J. Federated learning for multi-center collaboration in ophthalmology: improving classification performance in retinopathy of prematurity. Ophthalmology. Retina. PMID 35296449 DOI: 10.1016/j.oret.2022.02.015 |
0.092 |
|
| 2020 |
Campbell JP, Kim SJ, Brown JM, Ostmo S, Chan RVP, Kalpathy-Cramer J, Chiang MF. Evaluation of a novel retinopathy of prematurity severity scale applied by clinicians and deep learning. Ophthalmology. PMID 33121959 DOI: 10.1016/j.ophtha.2020.10.025 |
0.092 |
|
| 2023 |
Lauer A, Speroni SL, Choi M, Da X, Duncan C, McCarthy S, Krishnan V, Lusk CA, Rohde D, Hansen MB, Kalpathy-Cramer J, Loes DJ, Caruso PA, Williams DA, Mouridsen K, et al. Hematopoietic stem-cell gene therapy is associated with restored white matter microvascular function in cerebral adrenoleukodystrophy. Nature Communications. 14: 1900. PMID 37019892 DOI: 10.1038/s41467-023-37262-w |
0.09 |
|
| 2021 |
Li MD, Wood PA, Alkasab TK, Lev MH, Kalpathy-Cramer J, Succi MD. Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing. The American Journal of Emergency Medicine. 49: 52-57. PMID 34062318 DOI: 10.1016/j.ajem.2021.05.057 |
0.089 |
|
| 2023 |
Nguyen TP, Young BK, Coyner A, Ostmo S, Chan RVP, Kalpathy-Cramer J, Chiang MF, Campbell JP. Discrepancies in diagnosis of treatment-requiring retinopathy of prematurity. Ophthalmology. Retina. PMID 37689182 DOI: 10.1016/j.oret.2023.09.001 |
0.088 |
|
| 2022 |
Brink L, Coombs LP, Kattil Veettil D, Kuchipudi K, Marella S, Schmidt K, Nair SS, Tilkin M, Treml C, Chang K, Kalpathy-Cramer J. ACR's Connect and AI-LAB technical framework. Jamia Open. 5: ooac094. PMID 36380846 DOI: 10.1093/jamiaopen/ooac094 |
0.086 |
|
| 2022 |
Cole E, Valikodath NG, Al-Khaled T, Bajimaya S, Kc S, Chuluunbat T, Munkhuu B, Jonas KE, Chuluunkhuu C, MacKeen LD, Yap V, Hallak J, Ostmo S, Wu WC, Coyner AS, ... ... Kalpathy-Cramer J, et al. Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia. Ophthalmology Science. 2: 100165. PMID 36531583 DOI: 10.1016/j.xops.2022.100165 |
0.084 |
|
| 2020 |
Flanders AE, Prevedello LM, Shih G, Halabi SS, Kalpathy-Cramer J, Ball R, Mongan JT, Stein A, Kitamura FC, Lungren MP, Choudhary G, Cala L, Coelho L, Mogensen M, Morón F, et al. Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiology. Artificial Intelligence. 2: e190211. PMID 33937827 DOI: 10.1148/ryai.2020190211 |
0.084 |
|
| 2023 |
Eilts SK, Pfeil JM, Poschkamp B, Krohne TU, Eter N, Barth T, Guthoff R, Lagrèze W, Grundel M, Bründer MC, Busch M, Kalpathy-Cramer J, Chiang MF, Chan RVP, Coyner AS, et al. Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence-Based Vascular Severity Score. Jama Network Open. 6: e2251512. PMID 36656578 DOI: 10.1001/jamanetworkopen.2022.51512 |
0.084 |
|
| 2020 |
Li MD, Arun NT, Gidwani M, Chang K, Deng F, Little BP, Mendoza DP, Lang M, Lee SI, O'Shea A, Parakh A, Singh P, Kalpathy-Cramer J. Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Radiology. Artificial Intelligence. 2: e200079. PMID 33928256 DOI: 10.1148/ryai.2020200079 |
0.084 |
|
| 2023 |
Arsava EM, Chang K, Tawakol A, Loggia ML, Goldstein JN, Brown J, Park KY, Singhal AB, Kalpathy-Cramer J, Sorensen AG, Rosen BR, Samuels MA, Ay H. Stroke-Related Visceral Alterations: a Voxel-Based Neuroanatomic Localization Study. Annals of Neurology. PMID 37642641 DOI: 10.1002/ana.26785 |
0.082 |
|
| 2020 |
Sun H, Jain A, Leone MJ, Alabsi HS, Brenner LN, Ye E, Ge W, Shao YP, Boutros CL, Wang R, Tesh RA, Magdamo C, Collens SI, Ganglberger W, Bassett IV, ... ... Kalpathy-Cramer J, et al. CoVA: An Acuity Score for Outpatient Screening that Predicts COVID-19 Prognosis. The Journal of Infectious Diseases. PMID 33098643 DOI: 10.1093/infdis/jiaa663 |
0.081 |
|
| 2019 |
Pan I, Thodberg HH, Halabi SS, Kalpathy-Cramer J, Larson DB. Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge. Radiology. Artificial Intelligence. 1: e190053. PMID 32090207 DOI: 10.1148/ryai.2019190053 |
0.08 |
|
| 2018 |
Balagurunathan Y, Beers A, Kalpathy-Cramer J, McNitt-Gray M, Hadjiiski L, Zhao B, Zhu J, Yang H, Yip SSF, Aerts HJWL, Napel S, Cherezov D, Cha K, Chan HP, Flores C, et al. Erratum: Semi-automated pulmonary nodule interval segmentation using the NLST data. Medical Physics. 45: 2689-2690. PMID 29894564 DOI: 10.1002/mp.12905 |
0.08 |
|
| 2023 |
Lin HM, Colak E, Richards T, Kitamura FC, Prevedello LM, Talbott J, Ball RL, Gumeler E, Yeom KW, Hamghalam M, Simpson AL, Strika J, Bulja D, Angkurawaranon S, Pérez-Lara A, ... ... Kalpathy-Cramer J, et al. The RSNA Cervical Spine Fracture CT Dataset. Radiology. Artificial Intelligence. 5: e230034. PMID 37795143 DOI: 10.1148/ryai.230034 |
0.077 |
|
| 2020 |
Flanders AE, Prevedello LM, Shih G, Halabi SS, Kalpathy-Cramer J, Ball R, Mongan JT, Stein A, Kitamura FC, Lungren MP, Choudhary G, Cala L, Coelho L, Mogensen M, Morón F, et al. Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiology. Artificial Intelligence. 2: e209002. PMID 33939782 DOI: 10.1148/ryai.2020209002 |
0.077 |
|
| 2021 |
Kalpathy-Cramer J, Patel JB, Bridge C, Chang K. Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence Performance. Radiologic Clinics of North America. 59: 941-954. PMID 34689879 DOI: 10.1016/j.rcl.2021.06.005 |
0.074 |
|
| 2020 |
Sun H, Jain A, Leone MJ, Alabsi HS, Brenner LN, Ye E, Ge W, Shao YP, Boutros CL, Wang R, Tesh RA, Magdamo C, Collens SI, Ganglberger W, Bassett IV, ... ... Kalpathy-Cramer J, et al. COVID-19 Outpatient Screening: a Prediction Score for Adverse Events. Medrxiv : the Preprint Server For Health Sciences. PMID 32607523 DOI: 10.1101/2020.06.17.20134262 |
0.072 |
|
| 2013 |
Taliercio V, Logan JR, Kalpathy-Cramer J, Oteroa P. Developing a survey to assess factors that contribute to physician involvement in clinical research. Studies in Health Technology and Informatics. 192: 107-11. PMID 23920525 |
0.072 |
|
| 2021 |
Campbell JP, Singh P, Redd TK, Brown JM, Shah PK, Subramanian P, Rajan R, Valikodath N, Cole E, Ostmo S, Chan RVP, Venkatapathy N, Chiang MF, Kalpathy-Cramer J. Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics. PMID 33637645 DOI: 10.1542/peds.2020-016618 |
0.071 |
|
| 2019 |
Morales MA, Izquierdo-Garcia D, Aganj I, Kalpathy-Cramer J, Rosen BR, Catana C. Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network. Radiology. Artificial Intelligence. 1: e180080. PMID 32076659 DOI: 10.1148/ryai.2019180080 |
0.069 |
|
| 2021 |
Li MD, Deng F, Chang K, Kalpathy-Cramer J, Huang AJ. Automated Radiology-Arthroscopy Correlation of Knee Meniscal Tears Using Natural Language Processing Algorithms. Academic Radiology. PMID 33583713 DOI: 10.1016/j.acra.2021.01.017 |
0.068 |
|
| 2024 |
Lim-Fat MJ, Iorgulescu JB, Rahman R, Bhave V, Muzikansky A, Woodward E, Whorral S, Allen M, Touat M, Li X, Xu G, Patel J, Gerstner ER, Kalpathy-Cramer J, Youssef G, et al. Clinical and genomic predictors of adverse events in newly diagnosed glioblastoma. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 38252427 DOI: 10.1158/1078-0432.CCR-23-3018 |
0.065 |
|
| 2021 |
Chen JS, Anderson JE, Coyner AS, Ostmo S, Sonmez K, Erdogmus D, Jordan BK, McEvoy CT, Dukhovny D, Schelonka RL, Paul Chan RV, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP. Quantification of Early Neonatal Oxygen Exposure as a Risk Factor for Retinopathy of Prematurity Requiring Treatment. Ophthalmology Science. 1: 100070. PMID 36275192 DOI: 10.1016/j.xops.2021.100070 |
0.065 |
|
| 2022 |
Coyner AS, Oh MA, Shah PK, Singh P, Ostmo S, Valikodath NG, Cole E, Al-Khaled T, Bajimaya S, K C S, Chuluunbat T, Munkhuu B, Subramanian P, Venkatapathy N, Jonas KE, ... ... Kalpathy-Cramer J, et al. External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations. Jama Ophthalmology. PMID 35797036 DOI: 10.1001/jamaophthalmol.2022.2135 |
0.064 |
|
| 2023 |
Lin WC, Jordan BK, Scottoline B, Ostmo SR, Coyner AS, Singh P, Kalpathy-Cramer J, Erdogmus D, Chan RVP, Chiang MF, Campbell JP. Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity: Insights from a Multimodal Deep Learning Approach. Ophthalmology Science. 4: 100417. PMID 38059124 DOI: 10.1016/j.xops.2023.100417 |
0.061 |
|
| 2021 |
Colak E, Kitamura FC, Hobbs SB, Wu CC, Lungren MP, Prevedello LM, Kalpathy-Cramer J, Ball RL, Shih G, Stein A, Halabi SS, Altinmakas E, Law M, Kumar P, Manzalawi KA, et al. The RSNA Pulmonary Embolism CT Dataset. Radiology. Artificial Intelligence. 3: e200254. PMID 33937862 DOI: 10.1148/ryai.2021200254 |
0.058 |
|
| 2021 |
Coyner AS, Chen JS, Singh P, Schelonka RL, Jordan BK, McEvoy CT, Anderson JE, Chan RVP, Sonmez K, Erdogmus D, Chiang MF, Kalpathy-Cramer J, Campbell JP. Single-Examination Risk Prediction of Severe Retinopathy of Prematurity. Pediatrics. PMID 34814160 DOI: 10.1542/peds.2021-051772 |
0.058 |
|
| 2023 |
Yang E, Li MD, Raghavan S, Deng F, Lang M, Succi MD, Huang AJ, Kalpathy-Cramer J. Transformer versus traditional natural language processing: How much data is enough for automated radiology report classification? The British Journal of Radiology. 20220769. PMID 37162253 DOI: 10.1259/bjr.20220769 |
0.053 |
|
| 2024 |
Coyner AS, Murickan T, Oh MA, Young BK, Ostmo SR, Singh P, Chan RVP, Moshfeghi DM, Shah PK, Venkatapathy N, Chiang MF, Kalpathy-Cramer J, Campbell JP. Multinational External Validation of Autonomous Retinopathy of Prematurity Screening. Jama Ophthalmology. PMID 38451496 DOI: 10.1001/jamaophthalmol.2024.0045 |
0.051 |
|
| 2022 |
Sobhy M, Cole E, Jabbehdari S, Valikodath NG, Al-Khaled T, Kalinoski L, Chervinko M, Cherwek DH, Chuluunkhuu C, Shah PK, K C S, Jonas KE, Scanzera A, Yap VL, Yeh S, ... Kalpathy-Cramer J, et al. Operationalization of Retinopathy of Prematurity Screening by the Application of the Essential Public Health Services Framework. International Ophthalmology Clinics. 63: 39-63. PMID 36598833 DOI: 10.1097/IIO.0000000000000448 |
0.028 |
|
| 2019 |
Allen B, Agarwal S, Kalpathy-Cramer J, Dreyer K. Democratizing AI. Journal of the American College of Radiology : Jacr. 16: 961-963. PMID 31272590 DOI: 10.1016/j.jacr.2019.04.023 |
0.01 |
|
| 2018 |
Lee A, Taylor P, Kalpathy-Cramer J, Tufail A. Reply. Ophthalmology. PMID 30343936 DOI: 10.1016/j.ophtha.2018.06.036 |
0.01 |
|
| 2018 |
Kalpathy-Cramer J. SP-0446: Radiomics: What about harmonisation and standardisation? Radiotherapy and Oncology. 127: S232-S233. DOI: 10.1016/S0167-8140(18)30756-4 |
0.01 |
|
| Hide low-probability matches. |