Year |
Citation |
Score |
2023 |
Ren Y, Liu X, Ge J, Liang Z, Xu X, Grimm LJ, Go J, Marks JR, Lo JY. Ipsilateral Lesion Detection Refinement for Tomosynthesis. Ieee Transactions On Medical Imaging. PMID 37227903 DOI: 10.1109/TMI.2023.3280135 |
0.33 |
|
2021 |
Hou R, Peng Y, Grimm LJ, Ren Y, Mazurowski M, Marks JR, King LM, Maley C, Hwang ES, Lo JY. Anomaly Detection of Calcifications in Mammography Based on 11,000 Negative Cases. Ieee Transactions On Bio-Medical Engineering. PMID 34788216 DOI: 10.1109/TBME.2021.3126281 |
0.369 |
|
2021 |
Xue C, Tang FH, Lai CWK, Grimm LJ, Lo JY. Multimodal Patient-Specific Registration for Breast Imaging Using Biomechanical Modeling with Reference to AI Evaluation of Breast Tumor Change. Life (Basel, Switzerland). 11. PMID 34440490 DOI: 10.3390/life11080747 |
0.331 |
|
2021 |
Buda M, Saha A, Walsh R, Ghate S, Li N, Swiecicki A, Lo JY, Mazurowski MA. A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images. Jama Network Open. 4: e2119100. PMID 34398205 DOI: 10.1001/jamanetworkopen.2021.19100 |
0.331 |
|
2020 |
Ikejimba LC, Salad J, Graff CG, Goodsitt M, Chan HP, Huang H, Zhao W, Ghammraoui B, Lo JY, Glick SJ. Assessment of task-based performance from five clinical DBT systems using an anthropomorphic breast phantom. Medical Physics. PMID 33128288 DOI: 10.1002/mp.14568 |
0.343 |
|
2019 |
Ikejimba LC, Salad J, Graff CG, Ghammraoui B, Cheng WC, Lo JY, Glick SJ. A four-alternative forced choice (4AFC) methodology for evaluating microcalcification detection in clinical full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) systems using an inkjet-printed anthropomorphic phantom. Medical Physics. PMID 31135960 DOI: 10.1002/Mp.13629 |
0.373 |
|
2019 |
Grimm LJ, Miller MM, Thomas SM, Liu Y, Lo JY, Hwang ES, Hyslop T, Ryser MD. Growth Dynamics of Mammographic Calcifications: Differentiating Ductal Carcinoma in Situ from Benign Breast Disease. Radiology. 182599. PMID 31112087 DOI: 10.1148/Radiol.2019182599 |
0.322 |
|
2019 |
Georgian-Smith D, Obuchowski NA, Lo JY, Brem RF, Baker JA, Fisher PR, Rim A, Zhao W, Fajardo LL, Mertelmeier T. Can Digital Breast Tomosynthesis Replace Full-Field Digital Mammography? A Multireader, Multicase Study of Wide-Angle Tomosynthesis. Ajr. American Journal of Roentgenology. 1-7. PMID 30933648 DOI: 10.2214/AJR.18.20294 |
0.302 |
|
2019 |
Rossman AH, Catenacci M, Zhao C, Sikaria D, Knudsen JE, Dawes D, Gehm ME, Samei E, Wiley BJ, Lo JY. Three-dimensionally-printed anthropomorphic physical phantom for mammography and digital breast tomosynthesis with custom materials, lesions, and uniform quality control region. Journal of Medical Imaging (Bellingham, Wash.). 6: 021604. PMID 30915385 DOI: 10.1117/1.Jmi.6.2.021604 |
0.349 |
|
2019 |
Chen Y, Lo JY, Dobbins JT. Impulse response and Modulation Transfer Function analysis for Shift-And-Add and Back Projection image reconstruction algorithms in Digital Breast Tomosynthesis (DBT). International Journal of Functional Informatics and Personalised Medicine. 1: 189-204. PMID 23935707 DOI: 10.1504/IJFIPM.2008.020187 |
0.309 |
|
2018 |
Wen G, Chang HC, Reinhold J, Lo JY, Markey MK. Virtual assessment of stereoscopic viewing of digital breast tomosynthesis projection images. Journal of Medical Imaging (Bellingham, Wash.). 5: 015501. PMID 29376103 DOI: 10.1117/1.Jmi.5.1.015501 |
0.597 |
|
2017 |
Sturgeon GM, Park S, Segars WP, Lo JY. Synthetic Breast Phantoms from Patient Based Eigenbreasts. Medical Physics. PMID 28905385 DOI: 10.1002/Mp.12579 |
0.339 |
|
2017 |
Zhao C, Solomon J, Sturgeon GM, Gehm ME, Catenacci M, Wiley BJ, Samei E, Lo JY. Third generation anthropomorphic physical phantom for mammography and DBT: incorporating voxelized 3D printing and uniform chest wall QC region Proceedings of Spie. 10132. DOI: 10.1117/12.2256091 |
0.3 |
|
2017 |
Chen X, Gong X, Graff CG, Santana M, Sturgeon GM, Sauer TJ, Zeng R, Glick SJ, Lo JY. High-resolution, anthropomorphic, computational breast phantom: fusion of rule-based structures with patient-based anatomy Proceedings of Spie. 10132. DOI: 10.1117/12.2255913 |
0.312 |
|
2017 |
Reinhold J, Wen G, Lo JY, Markey MK. Lesion detectability in stereoscopically viewed digital breast tomosynthesis projection images: a model observer study with anthropomorphic computational breast phantoms Proceedings of Spie. 10136. DOI: 10.1117/12.2255909 |
0.63 |
|
2017 |
Sauer TJ, Graff CG, Zeng R, Santana M, Sturgeon GM, Bosmans H, Glick SJ, Chen XC, Segars WP, Lo JY. Detectability of artificial lesions in anthropomorphic virtual breast phantoms of variable glandular fraction Proceedings of Spie. 10132. DOI: 10.1117/12.2255896 |
0.302 |
|
2017 |
Ikejimba LC, Graff CG, Rosenthal S, Badal A, Ghammraoui B, Lo JY, Glick SJ. A physical breast phantom for 2D and 3D x-ray imaging made through inkjet printing Proceedings of Spie. 10132. DOI: 10.1117/12.2255016 |
0.337 |
|
2016 |
Lo J. TU-AB-209-01: Virtual and Physical Breast Phantoms That Mimic Patients. Medical Physics. 43: 3740-3741. PMID 28047311 DOI: 10.1118/1.4957443 |
0.32 |
|
2016 |
Kiarashi N, Nolte LW, Lo JY, Segars WP, Ghate SV, Solomon JB, Samei E. Impact of breast structure on lesion detection in breast tomosynthesis, a simulation study. Journal of Medical Imaging (Bellingham, Wash.). 3: 035504. PMID 27660807 DOI: 10.1117/1.Jmi.3.3.035504 |
0.372 |
|
2016 |
Sturgeon GM, Kiarashi N, Lo JY, Samei E, Segars WP. Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation. Medical Physics. 43: 2207. PMID 27147333 DOI: 10.1118/1.4945275 |
0.341 |
|
2016 |
Ikejimba L, Lo JY, Chen Y, Oberhofer N, Kiarashi N, Samei E. A quantitative metrology for performance characterization of five breast tomosynthesis systems based on an anthropomorphic phantom. Medical Physics. 43: 1627. PMID 27036562 DOI: 10.1118/1.4943373 |
0.342 |
|
2016 |
Sikaria D, Musinsky S, Sturgeon GM, Solomon J, Diao A, Gehm ME, Samei E, Glick SJ, Lo JY. Second generation anthropomorphic physical phantom for mammography and DBT: Incorporating voxelized 3D printing and inkjet printing of iodinated lesion inserts Proceedings of Spie. 9783: 978360. DOI: 10.1117/12.2217667 |
0.307 |
|
2016 |
Makeev A, Ikejimba L, Lo JY, Glick SJ. Investigation of optimal parameters for penalized maximum-likelihood reconstruction applied to iodinated contrast-enhanced breast CT Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9783. DOI: 10.1117/12.2217438 |
0.389 |
|
2016 |
Sturgeon GM, Tward DJ, Ketcha M, Ratnanather JT, Miller MI, Park S, Segars WP, Lo JY. Eigenbreasts for statistical breast phantoms Proceedings of Spie. 9783. DOI: 10.1117/12.2216398 |
0.353 |
|
2015 |
Grimm LJ, Zhang J, Lo JY, Johnson KS, Ghate SV, Walsh R, Mazurowski MA. Radiology Trainee Performance in Digital Breast Tomosynthesis: Relationship Between Difficulty and Error-Making Patterns. Journal of the American College of Radiology : Jacr. PMID 26577878 DOI: 10.1016/j.jacr.2015.09.025 |
0.31 |
|
2015 |
Zhang J, Grimm LJ, Lo JY, Johnson KS, Ghate SV, Walsh R, Mazurowski MA. Does Breast Imaging Experience During Residency Translate Into Improved Initial Performance in Digital Breast Tomosynthesis? Journal of the American College of Radiology : Jacr. 12: 728-732. PMID 26143567 DOI: 10.1016/j.jacr.2015.02.025 |
0.355 |
|
2015 |
Kiarashi N, Nolte AC, Sturgeon GM, Segars WP, Ghate SV, Nolte LW, Samei E, Lo JY. Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject data. Medical Physics. 42: 4116-26. PMID 26133612 DOI: 10.1118/1.4919771 |
0.34 |
|
2015 |
Samei E, Saunders RS, Singh S, Lo JY, Baker JA. Tri-plane correlation imaging for the detection of breast cancer: Effects of angular separation and correlation rule International Journal of Diagnostic Imaging. 2. DOI: 10.5430/ijdi.v2n2p29 |
0.327 |
|
2015 |
Grimm LJ, Zhang J, Johnson KS, Lo JY, Mazurowski MA. Incorporating breast tomosynthesis into radiology residency: Does trainee experience in breast imaging translate into improved performance with this new modality? Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9416. DOI: 10.1117/12.2082810 |
0.352 |
|
2015 |
Ikejimba L, Chen Y, Oberhofer N, Kiarashi N, Lo JY, Samei E. A quantitative metrology for performance characterization of breast tomosynthesis systems based on an anthropomorphic phantom Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9412. DOI: 10.1117/12.2082594 |
0.367 |
|
2015 |
Kiarashi N, Nolte LW, Lo JY, Segars WP, Ghate SV, Samei E. The impact of breast structure on lesion detection in breast tomosynthesis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9412. DOI: 10.1117/12.2082473 |
0.369 |
|
2014 |
Zhang J, Lo JY, Kuzmiak CM, Ghate SV, Yoon SC, Mazurowski MA. Using computer-extracted image features for modeling of error-making patterns in detection of mammographic masses among radiology residents. Medical Physics. 41: 091907. PMID 25186394 DOI: 10.1118/1.4892173 |
0.312 |
|
2014 |
Ikejimba LC, Kiarashi N, Ghate SV, Samei E, Lo JY. Task-based strategy for optimized contrast enhanced breast imaging: analysis of six imaging techniques for mammography and tomosynthesis. Medical Physics. 41: 061908. PMID 24877819 DOI: 10.1117/12.913377 |
0.377 |
|
2014 |
Kiarashi N, Lo JY, Lin Y, Ikejimba LC, Ghate SV, Nolte LW, Dobbins JT, Segars WP, Samei E. Development and application of a suite of 4-D virtual breast phantoms for optimization and evaluation of breast imaging systems. Ieee Transactions On Medical Imaging. 33: 1401-9. PMID 24691118 DOI: 10.1109/Tmi.2014.2312733 |
0.405 |
|
2014 |
Segars WP, Veress AI, Wells JR, Sturgeon GM, Kiarashi N, Lo JY, Samei E, Dobbins JT. Population of 100 realistic, patient-based computerized breast phantoms for multi-modality imaging research Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9033. DOI: 10.1117/12.2043868 |
0.358 |
|
2014 |
Mahadevan R, Ikejimba LC, Lin Y, Samei E, Lo JY. A task-based comparison of two reconstruction algorithms for digital breast tomosynthesis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9033. DOI: 10.1117/12.2043829 |
0.327 |
|
2013 |
Kiarashi N, Sturgeon GM, Nolte LW, Lo JY, Dobbins JT, Segars WP, Samei E. Development of matched virtual and physical breast phantoms based on patient data Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8668. DOI: 10.1117/12.2008406 |
0.331 |
|
2012 |
Kiarashi N, Lin Y, Segars WP, Ghate SV, Ikejimba L, Chen B, Lo JY, Dobbins JT, Nolte LW, Samei E. Development of a dynamic 4D anthropomorphic breast phantom for contrast-based breast imaging Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8313. DOI: 10.1117/12.913332 |
0.385 |
|
2012 |
Lin Y, Ghate S, Lo J, Samei E. 3D biopsy for tomosynthesis: Simulation of prior information based reconstruction for dose and artifact reduction Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8313. DOI: 10.1117/12.912346 |
0.317 |
|
2012 |
Kiarashi N, Ghate SV, Lo JY, Nolte LW, Samei E. Application of a dynamic 4D anthropomorphic breast phantom in contrast-based imaging system optimization: Dual-energy or temporal subtraction? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7361: 658-665. DOI: 10.1007/978-3-642-31271-7_85 |
0.323 |
|
2011 |
Webb LJ, Samei E, Lo JY, Baker JA, Ghate SV, Kim C, Soo MS, Walsh R. Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection. Medical Physics. 38: 1972-80. PMID 21626930 DOI: 10.1118/1.3562901 |
0.405 |
|
2011 |
Mazurowski MA, Lo JY, Harrawood BP, Tourassi GD. Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis. Journal of Biomedical Informatics. 44: 815-23. PMID 21554985 DOI: 10.1016/J.Jbi.2011.04.008 |
0.403 |
|
2011 |
Singh S, Maxwell J, Baker JA, Nicholas JL, Lo JY. Computer-aided classification of breast masses: performance and interobserver variability of expert radiologists versus residents. Radiology. 258: 73-80. PMID 20971779 DOI: 10.1148/radiol.10081308 |
0.798 |
|
2011 |
Shafer CM, Seewaldt VL, Lo JY. Segmentation of adipose and glandular tissue for breast tomosynthesis imaging using a 3D hidden-Markov model trained on breast MRIs Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7961. DOI: 10.1117/12.878137 |
0.334 |
|
2011 |
Shafer CM, Seewaldt VL, Lo JY. Validation of a 3D hidden-Markov model for breast tissue segmentation and density estimation from MR and tomosynthesis images Proceedings of the 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, Bsec 2011. DOI: 10.1109/BSEC.2011.5872317 |
0.358 |
|
2010 |
Shafer CM, Samei E, Lo JY. The quantitative potential for breast tomosynthesis imaging. Medical Physics. 37: 1004-16. PMID 20384236 DOI: 10.1118/1.3285038 |
0.806 |
|
2010 |
Ranger NT, Lo JY, Samei E. A technique optimization protocol and the potential for dose reduction in digital mammography. Medical Physics. 37: 962-9. PMID 20384232 DOI: 10.1118/1.3276732 |
0.322 |
|
2010 |
Mehtaji D, Shafer C, Chen B, Lo J. SU-GG-I-154: Evaluation of Quantitative Potential of Breast Tomosynthesis Using a Voxelized Anthropomorphic Breast Phantom Medical Physics. 37: 3137-3137. DOI: 10.1118/1.3468190 |
0.307 |
|
2009 |
Chawla AS, Lo JY, Baker JA, Samei E. Optimized image acquisition for breast tomosynthesis in projection and reconstruction space. Medical Physics. 36: 4859-69. PMID 19994493 DOI: 10.1118/1.3231814 |
0.315 |
|
2009 |
Jesneck JL, Mukherjee S, Yurkovetsky Z, Clyde M, Marks JR, Lokshin AE, Lo JY. Do serum biomarkers really measure breast cancer? Bmc Cancer. 9: 164. PMID 19476629 DOI: 10.1186/1471-2407-9-164 |
0.748 |
|
2009 |
Saunders RS, Samei E, Lo JY, Baker JA. Can compression be reduced for breast tomosynthesis? Monte Carlo study on mass and microcalcification conspicuity in tomosynthesis Radiology. 251: 673-682. PMID 19474373 DOI: 10.1148/Radiol.2521081278 |
0.352 |
|
2009 |
Chawla AS, Saunders RS, Singh S, Lo JY, Samei E. Towards Optimized Acquisition Scheme for Multiprojection Correlation Imaging of Breast Cancer Academic Radiology. 16: 456-463. PMID 19268858 DOI: 10.1016/J.Acra.2008.09.013 |
0.796 |
|
2009 |
Shafer C, Lo J, Samei E. MO-FF-A4-01: Evaluation of Background Trend Correction Technique in Breast Tomosynthesis Quantitation Medical Physics. 36: 2713-2713. DOI: 10.1118/1.3182295 |
0.38 |
|
2009 |
Chawla AS, Samei E, Lo JY. Optimized lesion detection in breast tomosynthesis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7258. DOI: 10.1117/12.813964 |
0.301 |
|
2009 |
Li CM, Segars WP, Lo JY, Veress AI, Boone JM, Dobbins JT. Computerized 3D breast phantom with enhanced High-Resolution detail Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7258. DOI: 10.1117/12.813529 |
0.377 |
|
2008 |
Singh S, Tourassi GD, Baker JA, Samei E, Lo JY. Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach. Medical Physics. 35: 3626-36. PMID 18777923 DOI: 10.1118/1.2953562 |
0.787 |
|
2008 |
Xia JQ, Lo JY, Yang K, Floyd CE, Boone JM. Dedicated breast computed tomography: volume image denoising via a partial-diffusion equation based technique. Medical Physics. 35: 1950-8. PMID 18561671 DOI: 10.1118/1.2903436 |
0.613 |
|
2008 |
Chawla AS, Samei E, Saunders RS, Lo JY, Baker JA. A mathematical model platform for optimizing a multiprojection breast imaging system Medical Physics. 35: 1337-1345. PMID 18491528 DOI: 10.1118/1.2885367 |
0.364 |
|
2008 |
Floyd CE, Kapadia AJ, Bender JE, Sharma AC, Xia JQ, Harrawood BP, Tourassi GD, Lo JY, Crowell AS, Kiser MR, Howell CR. Neutron-stimulated emission computed tomography of a multi-element phantom. Physics in Medicine and Biology. 53: 2313-26. PMID 18421119 DOI: 10.1088/0031-9155/53/9/008 |
0.507 |
|
2008 |
Chawla AS, Samei E, Saunders RS, Lo JY, Singh S. Optimized acquisition scheme for multi-projection correlation imaging of breast cancer Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.773174 |
0.324 |
|
2008 |
Singh S, Tourassi GD, Chawla AS, Saunders RS, Samei E, Lo JY. Computer aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.772978 |
0.316 |
|
2008 |
Shafer CM, Samei E, Saunders RS, Zerhouni M, Lo JY. Toward quantification of breast tomosynthesis imaging Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6913. DOI: 10.1117/12.772753 |
0.35 |
|
2008 |
Li CM, Segars WP, Lo JY, Veress AI, Boone JM, Dobbins JT. Three-dimensional computer generated breast phantom based on empirical data Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6913. DOI: 10.1117/12.772185 |
0.365 |
|
2008 |
Xia JQ, Lo JY. Mass detectability in dedicated breast CT: A simulation study with the application of volume noise removal 8th Ieee International Conference On Bioinformatics and Bioengineering, Bibe 2008. DOI: 10.1109/BIBE.2008.4696788 |
0.336 |
|
2008 |
Chawla AS, Samei E, Lo JY, Mertelmeier T. Multi-projection correlation imaging as a new diagnostic tool for improved breast cancer detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5116: 635-642. DOI: 10.1007/978-3-540-70538-3_88 |
0.352 |
|
2007 |
Tourassi GD, Harrawood B, Singh S, Lo JY. Information-theoretic CAD system in mammography: entropy-based indexing for computational efficiency and robust performance. Medical Physics. 34: 3193-204. PMID 17879782 DOI: 10.1118/1.2751075 |
0.772 |
|
2007 |
Jesneck JL, Lo JY, Baker JA. Breast mass lesions: computer-aided diagnosis models with mammographic and sonographic descriptors. Radiology. 244: 390-8. PMID 17562812 DOI: 10.1148/radiol.2442060712 |
0.756 |
|
2007 |
Baydush AH, Catarious DM, Lo JY, Floyd CE. Incorporation of a Laguerre-Gauss channelized Hotelling observer for false-positive reduction in a mammographic mass CAD system. Journal of Digital Imaging. 20: 196-202. PMID 17505872 DOI: 10.1007/S10278-007-9009-8 |
0.486 |
|
2007 |
Tourassi GD, Harrawood B, Singh S, Lo JY, Floyd CE. Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms. Medical Physics. 34: 140-50. PMID 17278499 DOI: 10.1118/1.2401667 |
0.764 |
|
2007 |
Lo J, Singh S, Dobbins J, Samei E. MO-D-L100F-03: New Developments in Digital Breast Tomosynthesis Medical Physics. 34: 2518-2518. DOI: 10.1118/1.2761222 |
0.366 |
|
2007 |
Singh S, Tourassi GD, Lo JY. Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6514. DOI: 10.1117/12.713004 |
0.376 |
|
2007 |
Xia JQ, Tourassi GD, Lo JY, Floyd CE. On the development of a Gaussian noise model for scatter compensation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6510. DOI: 10.1117/12.712515 |
0.529 |
|
2007 |
Floyd CE, Sharma AC, Bender JE, Kapadia AJ, Xia JQ, Harrawood BP, Tourassi GD, Lo JY, Kiser MR, Crowell AS, Pedroni RS, Macri RA, Tajima S, Howell CR. Neutron stimulated emission computed tomography: Background corrections Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions With Materials and Atoms. 254: 329-336. DOI: 10.1016/J.Nimb.2006.11.098 |
0.495 |
|
2006 |
Jesneck JL, Nolte LW, Baker JA, Floyd CE, Lo JY. Optimized approach to decision fusion of heterogeneous data for breast cancer diagnosis. Medical Physics. 33: 2945-54. PMID 16964873 DOI: 10.1118/1.2208934 |
0.785 |
|
2006 |
Floyd CE, Bender JE, Sharma AC, Kapadia A, Xia J, Harrawood B, Tourassi GD, Lo JY, Crowell A, Howell C. Introduction to neutron stimulated emission computed tomography. Physics in Medicine and Biology. 51: 3375-90. PMID 16825736 DOI: 10.1088/0031-9155/51/14/006 |
0.505 |
|
2006 |
Lo JY, Bilska-Wolak AO, Baker JA, Tourassi GD, Floyd CE, Markey MK. Computer-aided diagnosis in breast imaging: Where do we go after detection? Recent Advances in Breast Imaging, Mammography, and Computer-Aided Diagnosis of Breast Cancer. 871-900. DOI: 10.1117/3.651880.ch27 |
0.719 |
|
2006 |
Floyd CE, Bender JE, Harrawood B, Sharma AC, Kapadia A, Tourassi GD, Lo JY, Howell C. Breast cancer diagnosis using neutron stimulated emission computed tomography: Dose and count requirements Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6142. DOI: 10.1117/12.656045 |
0.594 |
|
2006 |
Sharma A, Floyd C, Harrawood B, Tourassi G, Kapadia A, Bender J, Lo J, Howell C. Rotating slat collimator design for high-energy near-field imaging Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6142. DOI: 10.1117/12.653929 |
0.529 |
|
2005 |
Bilska-Wolak AO, Floyd CE, Lo JY, Baker JA. Computer aid for decision to biopsy breast masses on mammography: validation on new cases. Academic Radiology. 12: 671-80. PMID 15935965 DOI: 10.1016/J.Acra.2005.02.011 |
0.588 |
|
2005 |
Samei E, Lo JY, Yoshizumi TT, Jesneck JL, Dobbins JT, Floyd CE, McAdams HP, Ravin CE. Comparative scatter and dose performance of slot-scan and full-field digital chest radiography systems. Radiology. 235: 940-9. PMID 15845791 DOI: 10.1148/Radiol.2353040516 |
0.751 |
|
2005 |
Saunders RS, Samei E, Jesneck JL, Lo JY. Physical characterization of a prototype selenium-based full field digital mammography detector Medical Physics. 32: 588-599. PMID 15789606 DOI: 10.1118/1.1855033 |
0.717 |
|
2005 |
Xia JQ, Lo JY, Floyd CE. Characterization of scatter radiation of a breast phantom on siemens prototype FFDM with and without an anti-scatter grid Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5745: 1096-1102. DOI: 10.1117/12.595960 |
0.571 |
|
2005 |
Markey MK, Lo JY. Issues in assessing multi-institutional performance of BI-RADS-based CAD systems Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5747: 858-865. DOI: 10.1117/12.594706 |
0.578 |
|
2004 |
Fischer EA, Lo JY, Markey MK. Bayesian networks of BI-RADStrade mark descriptors for breast lesion classification. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 4: 3031-4. PMID 17270917 DOI: 10.1109/IEMBS.2004.1403858 |
0.316 |
|
2004 |
Samei E, Saunders RS, Lo JY, Dobbins JT, Jesneck JL, Floyd CE, Ravin CE. Fundamental imaging characteristics of a slot-scan digital chest radiographic system Medical Physics. 31: 2687-2698. PMID 15487752 DOI: 10.1118/1.1783531 |
0.775 |
|
2004 |
Baker JA, Lo JY, Delong DM, Floyd CE. Computer-aided detection in screening mammography: variability in cues. Radiology. 233: 411-7. PMID 15358850 DOI: 10.1148/Radiol.2332031200 |
0.473 |
|
2004 |
Land WH, Wong L, McKee D, Masters T, Anderson F, Raturi A, Lo JY. New results in computer aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN oracle hybrid Proceedings of Spie - the International Society For Optical Engineering. 5370: 777-784. DOI: 10.1117/12.533142 |
0.369 |
|
2003 |
Baker JA, Rosen EL, Lo JY, Gimenez EI, Walsh R, Soo MS. Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion. Ajr. American Journal of Roentgenology. 181: 1083-8. PMID 14500236 DOI: 10.2214/ajr.181.4.1811083 |
0.303 |
|
2003 |
Bilska-Wolak AO, Floyd CE, Nolte LW, Lo JY. Application of likelihood ratio to classification of mammographic masses; performance comparison to case-based reasoning. Medical Physics. 30: 949-58. PMID 12773004 DOI: 10.1118/1.1565339 |
0.563 |
|
2003 |
Markey MK, Lo JY, Tourassi GD, Floyd CE. Self-organizing map for cluster analysis of a breast cancer database. Artificial Intelligence in Medicine. 27: 113-27. PMID 12636975 DOI: 10.1016/S0933-3657(03)00003-4 |
0.654 |
|
2003 |
Bilska-Wolak AO, Floyd CE, Lo JY. Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers Proceedings of Spie - the International Society For Optical Engineering. 5032: 1386-1391. DOI: 10.1117/12.481349 |
0.532 |
|
2003 |
Tourassi GD, Lo JY, Markey MK. Validation of a constraint satisfaction neural network for breast cancer diagnosis: New results from 1,030 cases Proceedings of Spie - the International Society For Optical Engineering. 5032: 207-214. DOI: 10.1117/12.481111 |
0.581 |
|
2003 |
Lo JY, Gavrielides M, Markey MK, Jesneck JL. Computer-aided classification of breast microcalcification clusters: Merging of features from image processing and radiologists Proceedings of Spie - the International Society For Optical Engineering. 5032: 882-889. DOI: 10.1117/12.480869 |
0.582 |
|
2002 |
Gavrielides MA, Lo JY, Floyd CE. Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms. Medical Physics. 29: 475-83. PMID 11998828 DOI: 10.1118/1.1460874 |
0.525 |
|
2002 |
Markey MK, Lo JY, Floyd CE. Differences between computer-aided diagnosis of breast masses and that of calcifications. Radiology. 223: 489-93. PMID 11997558 DOI: 10.1148/Radiol.2232011257 |
0.7 |
|
2002 |
Markey MK, Lo JY, Vargas-Voracek R, Tourassi GD, Floyd CE. Perceptron error surface analysis: a case study in breast cancer diagnosis. Computers in Biology and Medicine. 32: 99-109. PMID 11879823 DOI: 10.1016/S0010-4825(01)00035-X |
0.671 |
|
2002 |
Lo JY, Markey MK, Baker JA, Floyd CE. Cross-institutional evaluation of BI-RADS predictive model for mammographic diagnosis of breast cancer. Ajr. American Journal of Roentgenology. 178: 457-63. PMID 11804918 DOI: 10.2214/Ajr.178.2.1780457 |
0.71 |
|
2002 |
Markey MK, Lo JY, Tourassi GD, Floyd CE. Cluster analysis of BI-RADS™ descriptions of biopsy-proven breast lesions Proceedings of Spie - the International Society For Optical Engineering. 4684: 363-370. DOI: 10.1117/12.467177 |
0.64 |
|
2001 |
Baydush AH, Catarious DM, Lo JY, Abbey CK, Floyd CE. Computerized classification of suspicious regions in chest radiographs using subregion Hotelling observers Medical Physics. 28: 2403-2409. PMID 11797942 DOI: 10.1118/1.1420402 |
0.54 |
|
2001 |
Tourassi GD, Markey MK, Lo JY, Floyd CE. A neural network approach to breast cancer diagnosis as a constraint satisfaction problem Medical Physics. 28: 804-811. PMID 11393476 DOI: 10.1118/1.1367861 |
0.686 |
|
2000 |
Floyd C.E. J, Lo JY, Tourassi GD. Case-based reasoning computer algorithm that uses mammographic findings for breast biopsy decisions American Journal of Roentgenology. 175: 1347-1352. PMID 11044039 DOI: 10.2214/Ajr.175.5.1751347 |
0.321 |
|
2000 |
Gavrielides MA, Lo JY, Vargas-Voracek R, Floyd CE. Segmentation of suspicious clustered microcalcifications in mammograms Medical Physics. 27: 13-22. PMID 10659733 DOI: 10.1118/1.598852 |
0.542 |
|
1999 |
Lo JY, Baker JA, Kornguth PJ, Floyd CE. Effect of patient history data on the prediction of breast cancer from mammographic findings with artificial neural networks. Academic Radiology. 6: 10-5. PMID 9891147 DOI: 10.1016/S1076-6332(99)80056-7 |
0.56 |
|
1999 |
Lo JY, Floyd CE. Application of artificial neural networks for diagnosis of breast cancer Proceedings of the 1999 Congress On Evolutionary Computation, Cec 1999. 3: 1755-1759. DOI: 10.1109/CEC.1999.785486 |
0.605 |
|
1998 |
Freed KS, Lo JY, Baker JA, Floyd CE, Low VH, Seabourn JT, Nelson RC. Predictive model for the diagnosis of intraabdominal abscess. Academic Radiology. 5: 473-9. PMID 9653463 DOI: 10.1016/S1076-6332(98)80187-6 |
0.494 |
|
1997 |
Lo JY, Baker JA, Kornguth PJ, Iglehart JD, Floyd CE. Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features Radiology. 203: 159-163. PMID 9122385 DOI: 10.1148/Radiology.203.1.9122385 |
0.596 |
|
1996 |
Floyd CE, Patz EF, Lo JY, Vittitoe NF, Stambaugh LE. Diffuse nodular lung disease on chest radiographs: A pilot study of characterization by fractal dimension American Journal of Roentgenology. 167: 1185-1187. PMID 8911177 DOI: 10.2214/Ajr.167.5.8911177 |
0.487 |
|
1996 |
Baker JA, Kornguth PJ, Lo JY, Floyd CE. Artificial neural network: Improving the quality of breast biopsy recommendations Radiology. 198: 131-135. PMID 8539365 DOI: 10.1148/Radiology.198.1.8539365 |
0.596 |
|
1996 |
Lo JY, Kim J, Baker JA, Floyd CE. Computer-aided diagnosis of mammography using an artificial neural network: Predicting the invasiveness of breast cancers from image features Proceedings of Spie - the International Society For Optical Engineering. 2710: 725-732. DOI: 10.1117/12.237977 |
0.604 |
|
1995 |
Lo JY, Baker JA, Kornguth PJ, Floyd CE. Computer-aided diagnosis of breast cancer: Artificial neural network approach for optimized merging of mammographic features Academic Radiology. 2: 841-850. PMID 9419649 DOI: 10.1016/S1076-6332(05)80057-1 |
0.527 |
|
1995 |
Baker JA, Kornguth PJ, Lo JY, Williford ME, Floyd CE. Breast cancer: Prediction with artificial neural network based on BI-RADS standardized lexicon Radiology. 196: 817-822. PMID 7644649 DOI: 10.1148/Radiology.196.3.7644649 |
0.599 |
|
1994 |
Lo JY, Floyd CE, Baker JA, Ravin CE. Scatter compensation in digital chest radiography using the posterior beam stop technique. Medical Physics. 21: 435-43. PMID 8208219 DOI: 10.1118/1.597388 |
0.535 |
|
1994 |
Floyd CE, Lo JY, Yun AJ, Sullivan DC, Kornguth PJ. Prediction of breast cancer malignancy using an artificial neural network. Cancer. 74: 2944-8. PMID 7954258 DOI: 10.1002/1097-0142(19941201)74:11<2944::Aid-Cncr2820741109>3.0.Co;2-F |
0.544 |
|
1994 |
Floyd CE, Baydush AH, Lo JY, Bowsher JE, Ravin CE. Bayesian restoration of chest radiographs scatter compensation with improved signal-to-noise ratio Investigative Radiology. 29: 904-910. PMID 7852042 DOI: 10.1097/00004424-199410000-00007 |
0.533 |
|
1993 |
Jordan LK, Floyd CE, Lo JY, Ravin CE. Measurement of scatter fractions in erect posteroanterior and lateral chest radiography Radiology. 188: 215-218. PMID 8511301 DOI: 10.1148/Radiology.188.1.8511301 |
0.528 |
|
1993 |
Floyd CE, Baydush AH, Lo JY, Bowsher JE, Ravin CE. Scatter compensation for digital chest radiography using maximum likelihood expectation maximization Investigative Radiology. 28: 427-433. PMID 8496036 DOI: 10.1097/00004424-199305000-00009 |
0.55 |
|
1993 |
Lo JY, Floyd CE, Baker JA, Ravin CE. An artificial neural network for estimating scatter exposures in portable chest radiography Medical Physics. 20: 965-973. PMID 8413040 DOI: 10.1118/1.596978 |
0.51 |
|
1993 |
Baker JA, Floyd CE, Lo JY, Ravin CE. Observer evaluation of scatter subtraction for digital portable chest radiographs Investigative Radiology. 28: 667-670. PMID 8375997 DOI: 10.1097/00004424-199308000-00001 |
0.551 |
|
1992 |
Floyd CE, Baker JA, Lo JY, Ravin CE. Posterior beam-stop method for scatter fraction measurement in digital radiography Investigative Radiology. 27: 119-123. PMID 1601602 DOI: 10.1097/00004424-199202000-00004 |
0.537 |
|
1992 |
Floyd CE, Baker JA, Lo JY, Ravin CE. Measurement of scatter fractions in clinical bedside radiography Radiology. 183: 857-861. PMID 1584947 DOI: 10.1148/Radiology.183.3.1584947 |
0.534 |
|
1992 |
Lo JY, Floyd CE, Ravin CE. SPATIAL-VARYING SCATTER COMPENSATION FOR PORTABLE CHEST RADIOGRAPHS USING AN ARTIFICIAL NEURAL NETWORK Investigative Radiology. 27: 1084. DOI: 10.1097/00004424-199212000-00045 |
0.472 |
|
1992 |
Floyd CE, Baydush AH, Lo JY, Bowsher JE, Ravin CE. Improved contrast-to-noise in digital chest radiography by Bayesian image estimation Investigative Radiology. 27: 1083. DOI: 10.1097/00004424-199212000-00040 |
0.515 |
|
1991 |
Floyd CE, Lo JY, Chotas HG, Ravin CE. Quantitative scatter measurement in digital radiography using a photostimulable phosphor imaging system Medical Physics. 18: 408-413. PMID 1870483 DOI: 10.1118/1.596687 |
0.503 |
|
1991 |
Baker JA, Floyd CE, Lo JY, Chotas HG, Ravin CE. 28 SCATTER FRACTION MEASUREMENTS IN PATIENTS USING COMPUTED RADIOGRAPHY Investigative Radiology. 26: 1129. DOI: 10.1097/00004424-199112000-00052 |
0.473 |
|
1990 |
Chotas HG, Floyd CE, Dobbins JT, Lo JY, Ravin CE. Scatter fractions in AMBER imaging Radiology. 177: 879-880. PMID 2244003 DOI: 10.1148/Radiology.177.3.2244003 |
0.527 |
|
1990 |
Floyd CE, Lo JY, Chotas HG, Ravin CE. QUANTITATIVE DIGITAL RADIOGRAPHY USING A PHOTOSTIMULABLE PHOSPHOR IMAGING SYSTEM Investigative Radiology. 25: 1374. DOI: 10.1097/00004424-199012000-00132 |
0.524 |
|
1990 |
Floyd CE, Lo JY, Chotas HG, Ravin CE. Quantitative Scatter Measurement In Digital Radiography Using A Photostimulable Phosphor System Investigative Radiology. 25: 1374. DOI: 10.1097/00004424-199012000-00131 |
0.484 |
|
Low-probability matches (unlikely to be authored by this person) |
2005 |
Samei E, Dobbins JT, Lo JY, Tornai MP. A framework for optimising the radiographic technique in digital X-ray imaging. Radiation Protection Dosimetry. 114: 220-9. PMID 15933112 DOI: 10.1093/Rpd/Nch562 |
0.298 |
|
2014 |
Sechopoulos I, Sabol JM, Berglund J, Bolch WE, Brateman L, Christodoulou E, Flynn M, Geiser W, Goodsitt M, Jones AK, Lo JY, Maidment AD, Nishino K, Nosratieh A, Ren B, et al. Radiation dosimetry in digital breast tomosynthesis: report of AAPM Tomosynthesis Subcommittee Task Group 223. Medical Physics. 41: 091501. PMID 25186375 DOI: 10.1118/1.4892600 |
0.298 |
|
2007 |
Johnson JP, Lo J, Mertelmeier T, Nafziger JS, Timberg P, Samei E. Visual image quality metrics for optimization of breast tomosynthesis acquisition technique Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6515. DOI: 10.1117/12.712343 |
0.297 |
|
2016 |
Ikejimba LC, Glick SJ, Choudhury KR, Samei E, Lo JY. Assessing task performance in FFDM, DBT, and synthetic mammography using uniform and anthropomorphic physical phantoms. Medical Physics. 43: 5593. PMID 27782687 DOI: 10.1118/1.4962475 |
0.297 |
|
2020 |
MacDonald LR, Lo JY, Sturgeon GM, Zeng C, Harrison RL, Kinahan PE, Segars WP. Impact of Using Uniform Attenuation Coefficients for Heterogeneously Dense Breasts in a Dedicated Breast PET/X-ray Scanner. Ieee Transactions On Radiation and Plasma Medical Sciences. 4: 585-593. PMID 33163753 DOI: 10.1109/trpms.2020.2991120 |
0.292 |
|
2007 |
Saunders RS, Samei E, Majdi-Nasab N, Lo JY. Initial human subject results for breast Bi-plane correlation imaging technique Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6514. DOI: 10.1117/12.713722 |
0.292 |
|
2015 |
Kiarashi N, Nolte AC, Sturgeon GM, Segars WP, Ghate SV, Nolte LW, Samei E, Lo JY. Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject data Medical Physics. 42: 4116-4126. DOI: 10.1118/1.4919771 |
0.289 |
|
2007 |
Chen Y, Lo JY, Dobbins JT. Importance of point-by-point back projection correction for isocentric motion in digital breast tomosynthesis: relevance to morphology of structures such as microcalcifications. Medical Physics. 34: 3885-92. PMID 17985634 DOI: 10.1118/1.2776256 |
0.289 |
|
2016 |
Erickson DW, Wells JR, Sturgeon GM, Samei E, Dobbins JT, Segars WP, Lo JY. Population of 224 realistic human subject-based computational breast phantoms. Medical Physics. 43: 23. PMID 26745896 DOI: 10.1118/1.4937597 |
0.288 |
|
2004 |
Land WH, McKee DW, Anderson FR, Lo JY. Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines Proceedings of Spie - the International Society For Optical Engineering. 5370: 880-887. DOI: 10.1117/12.535864 |
0.286 |
|
2016 |
Ikejimba LC, Graff CG, Rosenthal S, Badal A, Ghammraoui B, Lo JY, Glick SJ. A novel physical anthropomorphic breast phantom for 2D and 3D x-ray imaging. Medical Physics. PMID 27992059 DOI: 10.1002/Mp.12062 |
0.284 |
|
2014 |
Nolte A, Kiarashi N, Samei E, Segars WP, Lo JY. A second generation of physical anthropomorphic 3D breast phantoms based on human subject data Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9033. DOI: 10.1117/12.2043703 |
0.281 |
|
2008 |
Tourassi GD, Sharma AC, Singh S, Saunders RS, Lo JY, Samei E, Harrawood BP. Knowledge transfer across breast cancer screening modalities: A pilot study using an information-theoretic CADe system for mass detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5116: 292-298. DOI: 10.1007/978-3-540-70538-3_41 |
0.279 |
|
2010 |
Lo J, Baydush A, Karim E, Mendonca S. WE-A-201B-04: Reducing Dose in Breast Tomosynthesis Using Bayesian Image Estimation Medical Physics. 37: 3413-3413. DOI: 10.1118/1.3469336 |
0.279 |
|
2001 |
Land WH, Masters T, Lo JY, McKee DW, Anderson FR. New results in breast cancer classification obtained from an evolutionary computation/adaptive boosting hybrid using mammogram and history data Smcia 2001 - Proceedings of the 2001 Ieee Mountain Workshop On Soft Computing in Industrial Applications. 47-52. DOI: 10.1109/SMCIA.2001.936727 |
0.278 |
|
2016 |
Wang M, Zhang J, Grimm LJ, Ghate SV, Walsh R, Johnson KS, Lo JY, Mazurowski MA. Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach Expert Systems With Applications. 56: 1-8. DOI: 10.1016/j.eswa.2016.01.053 |
0.277 |
|
2017 |
Shi B, Grimm LJ, Mazurowski MA, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features Proceedings of Spie. 10134. DOI: 10.1117/12.2255847 |
0.275 |
|
2003 |
Land WH, McKee DW, Lo JY, Anderson FR. Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions Proceedings of Spie - the International Society For Optical Engineering. 5032: 898-907. DOI: 10.1117/12.483550 |
0.273 |
|
2020 |
Selvakumaran V, Hou R, Baker JA, Yoon SC, Ghate SV, Walsh R, Litton TP, Lu LX, Devalapalli A, Kim C, Soo MS, Hwang ES, Lo JY, Grimm LJ. Predicting Upstaging of DCIS to Invasive Disease: Radiologists's Predictive Performance. Academic Radiology. PMID 32001164 DOI: 10.1016/j.acra.2019.12.009 |
0.272 |
|
2016 |
Ikejimba L, Glick SJ, Samei E, Lo JY. Comparison of model and human observer performance in FFDM, DBT, and synthetic mammography Proceedings of Spie. 9783: 978325. DOI: 10.1117/12.2216858 |
0.268 |
|
2001 |
Land W.H. J, Masters T, Lo JY, McKee DW. Application of adaptive boosting to EP-derived multi-layer feedforward neural networks (MLFN) to improve benign/malignant breast cancer classification Proceedings of Spie - the International Society For Optical Engineering. 4322: 1717-1724. DOI: 10.1117/12.431058 |
0.262 |
|
2007 |
Williams M, Raghunathan P, Seibert J, Kwan A, Lo J, Samei E, Ranger N, Fajardo L, McGruder A, Maxwell S, Maidment A, Yaffe M, Bloomquist A, Mawdsley G. TU-B-M100J-01: Optimizing Mammography Image Quality and Dose: X-Ray Spectrum and Exposure Parameter Selection Medical Physics. 34: 2540-2541. DOI: 10.1118/1.2761315 |
0.26 |
|
2024 |
Donnelly J, Moffett L, Barnett AJ, Trivedi H, Schwartz F, Lo J, Rudin C. AsymMirai: Interpretable Mammography-based Deep Learning Model for 1-5-year Breast Cancer Risk Prediction. Radiology. 310: e232780. PMID 38501952 DOI: 10.1148/radiol.232780 |
0.258 |
|
2022 |
Hou R, Grimm LJ, Mazurowski MA, Marks JR, King LM, Maley CC, Lynch T, van Oirsouw M, Rogers K, Stone N, Wallis M, Teuwen J, Wesseling J, Hwang ES, Lo JY. Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features. Radiology. 210407. PMID 34981975 DOI: 10.1148/radiol.210407 |
0.255 |
|
2002 |
Land WH, Bryden M, Lo JY, McKee DW, Anderson FR. Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms Proceedings of the 2002 Congress On Evolutionary Computation, Cec 2002. 1: 187-192. DOI: 10.1109/CEC.2002.1006231 |
0.251 |
|
2014 |
Mazurowski MA, Zhang J, Lo JY, Kuzmiak CM, Ghate SV, Yoon S. Modeling resident error-making patterns in detection of mammographic masses using computer-extracted image features: Preliminary experiments Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9037. DOI: 10.1117/12.2044404 |
0.247 |
|
2006 |
Chen Y, Lo J, Baker J, Dobbins J. SU-FF-I-21: Two-Dimensional Shift-And-Add (SAA) Algorithm for Digital Breast Tomosynthesis Reconstruction Medical Physics. 33: 2001-2001. DOI: 10.1118/1.2240260 |
0.247 |
|
2016 |
Solomon J, Ba A, Diao A, Lo J, Bier E, Bochud F, Gehm M, Samei E. Design, fabrication, and implementation of voxel-based 3D printed textured phantoms for task-based image quality assessment in CT Proceedings of Spie. 9783: 978328. DOI: 10.1117/12.2217463 |
0.245 |
|
2008 |
Shafer CM, Samei E, Mertelmeier T, Saunders RS, Zerhouni M, Lo JY. Assessment of low energies and slice depth in the quantification of breast tomosynthesis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5116: 530-536. DOI: 10.1007/978-3-540-70538-3_74 |
0.242 |
|
2013 |
Chung H, Ikejimba L, Kiarashi N, Samei E, Hoernig M, Lo JY. Estimating breast density with dual energy mammography: A simple model based on calibration phantoms Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8668. DOI: 10.1117/12.2008398 |
0.236 |
|
2008 |
Williams MB, Raghunathan P, More MJ, Seibert JA, Kwan A, Lo JY, Samei E, Ranger NT, Fajardo LL, McGruder A, McGruder SM, Maidment AD, Yaffe MJ, Bloomquist A, Mawdsley GE. Optimization of exposure parameters in full field digital mammography. Medical Physics. 35: 2414-23. PMID 18649474 DOI: 10.1118/1.2912177 |
0.236 |
|
2007 |
Jesneck JL, Mukherjee S, Nolte LW, Lokshin AE, Marks JR, Lo J. Decision fusion of circulating markers for breast cancer detection in premenopausal women Proceedings of the 7th Ieee International Conference On Bioinformatics and Bioengineering, Bibe. 1434-1438. DOI: 10.1109/BIBE.2007.4375762 |
0.235 |
|
2024 |
Macdonald JA, Morgan KR, Konkel B, Abdullah K, Martin M, Ennis C, Lo JY, Stroo M, Snyder DC, Bashir MR. A Method for Efficient De-identification of DICOM Metadata and Burned-in Pixel Text. Journal of Imaging Informatics in Medicine. PMID 38587767 DOI: 10.1007/s10278-024-01098-7 |
0.234 |
|
2002 |
Land WH, Akanda A, Lo JY, Anderson F, Bryden M. Application of support vector machines to breast cancer screening using mammogram and history data Proceedings of Spie - the International Society For Optical Engineering. 4684: 636-642. DOI: 10.1117/12.467206 |
0.233 |
|
2017 |
Shi B, Grimm LJ, Mazurowski MA, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features Proceedings of Spie. 10134. DOI: 10.1117/12.2255731 |
0.232 |
|
2017 |
Zhao A, Santana M, Samei E, Lo J. Comparison of effects of dose on image quality in digital breast tomosynthesis across multiple vendors Proceedings of Spie. 10132. DOI: 10.1117/12.2255570 |
0.229 |
|
2010 |
Mazurowski MA, Lo JY, Tourassi GD. User modeling for improved computer-aided training in radiology: Initial experience Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7627. DOI: 10.1117/12.843863 |
0.229 |
|
2007 |
Samei E, Stebbins SA, Dobbins JT, McAdams HP, Lo JY. Multiprojection correlation imaging for improved detection of pulmonary nodules. Ajr. American Journal of Roentgenology. 188: 1239-45. PMID 17449766 DOI: 10.2214/Ajr.06.0843 |
0.229 |
|
2020 |
Grimm LJ, Neely B, Hou R, Selvakumaran V, Baker JA, Yoon SC, Ghate SV, Walsh R, Litton TP, Devalapalli A, Kim C, Soo MS, Hyslop T, Hwang ES, Lo JY. Mixed-methods study to predict upstaging of DCIS to invasive disease on mammography. Ajr. American Journal of Roentgenology. PMID 32783550 DOI: 10.2214/Ajr.20.23679 |
0.226 |
|
2007 |
Robinson MD, Farsiu S, Lo JY, Milanfar P, Toth CA. Efficient registration of aliased x-ray images Conference Record - Asilomar Conference On Signals, Systems and Computers. 215-219. DOI: 10.1109/ACSSC.2007.4487198 |
0.225 |
|
2019 |
Hou R, Mazurowski MA, Grimm LJ, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Prediction of Upstaged Ductal Carcinoma in situ Using Forced Labeling and Domain Adaptation. Ieee Transactions On Bio-Medical Engineering. PMID 31502960 DOI: 10.1109/Tbme.2019.2940195 |
0.223 |
|
2008 |
Robinson MD, Farsiu S, Lo JY, Toth CA. Efficient restoration and enhancement of super-resolved X-ray images Proceedings - International Conference On Image Processing, Icip. 629-632. DOI: 10.1109/ICIP.2008.4711833 |
0.221 |
|
2008 |
Singh S, Tourassi GD, Lo JY. Effect of similarity metrics and ROI sizes in featureless computer aided detection of breast masses in tomosynthesis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5116: 286-291. DOI: 10.1007/978-3-540-70538-3_40 |
0.221 |
|
2008 |
Karellas A, Lo JY, Orton CG. Point/Counterpoint. Cone beam x-ray CT will be superior to digital x-ray tomosynthesis in imaging the breast and delineating cancer. Medical Physics. 35: 409-11. PMID 18383660 DOI: 10.1118/1.2825612 |
0.218 |
|
2011 |
Baker JA, Lo JY. Breast tomosynthesis: state-of-the-art and review of the literature. Academic Radiology. 18: 1298-310. PMID 21893296 DOI: 10.1016/j.acra.2011.06.011 |
0.214 |
|
2008 |
Lo J. TU-D-342-02: What Every Medical Physicist Should Know About Breast Tomosynthesis Medical Physics. 35: 2908-2908. DOI: 10.1118/1.2962602 |
0.214 |
|
2010 |
Robinson MD, Toth CA, Lo JY, Farsiu S. Efficient fourier-wavelet super-resolution Ieee Transactions On Image Processing. 19: 2669-2681. PMID 20460208 DOI: 10.1109/Tip.2010.2050107 |
0.208 |
|
2020 |
Abadi E, Segars WP, Tsui BMW, Kinahan PE, Bottenus N, Frangi AF, Maidment A, Lo J, Samei E. Virtual clinical trials in medical imaging: a review. Journal of Medical Imaging (Bellingham, Wash.). 7: 042805. PMID 32313817 DOI: 10.1117/1.Jmi.7.4.042805 |
0.202 |
|
2008 |
Mazurowski MA, Habas PA, Zurada JM, Lo JY, Baker JA, Tourassi GD. Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance. Neural Networks : the Official Journal of the International Neural Network Society. 21: 427-36. PMID 18272329 DOI: 10.1016/J.Neunet.2007.12.031 |
0.185 |
|
2006 |
Jesneck JL, Nolte LW, Baker JA, Lo JY. The effect of data set size on computer-aided diagnosis of breast cancer: Comparing decision fusion to a linear discriminant Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6146. DOI: 10.1117/12.655235 |
0.184 |
|
2021 |
Fortunato A, Mallo D, Rupp SM, King LM, Hardman T, Lo JY, Hall A, Marks JR, Hwang ES, Maley CC. A new method to accurately identify single nucleotide variants using small FFPE breast samples. Briefings in Bioinformatics. PMID 34117742 DOI: 10.1093/bib/bbab221 |
0.182 |
|
2020 |
Draelos RL, Dov D, Mazurowski MA, Lo JY, Henao R, Rubin GD, Carin L. Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Analysis. 67: 101857. PMID 33129142 DOI: 10.1016/j.media.2020.101857 |
0.178 |
|
2021 |
Fu W, Sharma S, Abadi E, Iliopoulos AS, Wang Q, Sun X, Lo JY, Segars WP, Samei E. Phantom: A framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry. Ieee Journal of Biomedical and Health Informatics. PMID 33651703 DOI: 10.1109/JBHI.2021.3063080 |
0.177 |
|
2005 |
Baker JA, Rosen EL, Crockett MM, Lo JY. Accuracy of segmentation of a commercial computer-aided detection system for mammography. Radiology. 235: 385-90. PMID 15770043 DOI: 10.1148/radiol.2352040899 |
0.159 |
|
2005 |
Jesneck JL, Saunders RS, Samei E, Xia JQ, Lo JY. Detector evaluation of a prototype amorphous selenium-based full field digital mammography system Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5745: 478-485. DOI: 10.1117/12.596087 |
0.144 |
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2020 |
Schaffter T, Buist DSM, Lee CI, Nikulin Y, Ribli D, Guan Y, Lotter W, Jie Z, Du H, Wang S, Feng J, Feng M, Kim HE, Albiol F, Albiol A, ... ... Lo JY, et al. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms. Jama Network Open. 3: e200265. PMID 32119094 DOI: 10.1001/jamanetworkopen.2020.0265 |
0.133 |
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1996 |
Lo J, Kerns BJ, Amling CL, Robertson CN, Layfield LJ. Correlation of DNA ploidy and histologic diagnosis from prostate core- needle biopsies: Is DNA ploidy more sensitive than histology for the diagnosis of carcinoma in small specimens? Journal of Surgical Oncology. 63: 41-45. PMID 8841465 DOI: 10.1002/(SICI)1096-9098(199609)63:1<41::AID-JSO7>3.0.CO;2-Q |
0.13 |
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2013 |
Huo Z, Summers RM, Paquerault S, Lo J, Hoffmeister J, Armato SG, Freedman MT, Lin J, Lo SC, Petrick N, Sahiner B, Fryd D, Yoshida H, Chan HP. Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use. Medical Physics. 40: 077001. PMID 23822459 DOI: 10.1118/1.4807642 |
0.127 |
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2022 |
D'Anniballe VM, Tushar FI, Faryna K, Han S, Mazurowski MA, Rubin GD, Lo JY. Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning. Bmc Medical Informatics and Decision Making. 22: 102. PMID 35428335 DOI: 10.1186/s12911-022-01843-4 |
0.127 |
|
2018 |
Shi B, Grimm LJ, Mazurowski MA, Baker JA, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features. Journal of the American College of Radiology : Jacr. PMID 29398498 DOI: 10.1016/J.Jacr.2017.11.036 |
0.122 |
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2024 |
Alaeikhanehshir S, Voets MM, van Duijnhoven FH, Lips EH, Groen EJ, van Oirsouw MCJ, Hwang SE, Lo JY, Wesseling J, Mann RM, Teuwen J. Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials. Cancer Imaging : the Official Publication of the International Cancer Imaging Society. 24: 48. PMID 38576031 DOI: 10.1186/s40644-024-00691-x |
0.122 |
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2019 |
Samei E, Lo J. Special Section Guest Editorial: Special Section on 3D Printing in Medical Imaging Journal of Medical Imaging. 6: 1. DOI: 10.1117/1.Jmi.6.2.021601 |
0.118 |
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2017 |
Shi B, Grimm LJ, Mazurowski MA, Baker JA, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features? Academic Radiology. PMID 28506510 DOI: 10.1016/J.Acra.2017.03.013 |
0.118 |
|
2015 |
Price A, Lo J, Das S. SU-E-T-654: Quantifying Plan Quality Can Effectively Distinguish Between Competing Equivocal IMRT Prostate Plans Medical Physics. 42: 3487-3487. DOI: 10.1118/1.4925017 |
0.114 |
|
2024 |
Hou R, Lo JY, Marks JR, Hwang ES, Grimm LJ. Classification performance bias between training and test sets in a limited mammography dataset. Plos One. 19: e0282402. PMID 38324545 DOI: 10.1371/journal.pone.0282402 |
0.112 |
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2023 |
Hou R, Lo JY, Marks JR, Hwang ES, Grimm LJ. Classification performance bias between training and test sets in a limited mammography dataset. Medrxiv : the Preprint Server For Health Sciences. PMID 36865183 DOI: 10.1101/2023.02.15.23285985 |
0.112 |
|
2022 |
Fu W, Sharma S, Abadi E, Iliopoulos AS, Wang Q, Lo JY, Sun X, Segars WP, Samei E. Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry". Ieee Journal of Biomedical and Health Informatics. 26: 478. PMID 35038291 DOI: 10.1109/JBHI.2021.3130397 |
0.109 |
|
2010 |
Freeman MS, Chanyavanich V, Das SK, Lo JY. SU-GG-T-131: A Linear Metric of Knowledge-Based IMRT Treatment Plan Quality for the Prostate Medical Physics. 37: 3214-3214. DOI: 10.1118/1.3468521 |
0.105 |
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2022 |
Tong H, Pegues H, Samei E, Lo JY, Wiley BJ. Technical Note: Controlling the attenuation of 3d printed physical phantoms for computed tomography with a single material. Medical Physics. PMID 35191035 DOI: 10.1002/mp.15494 |
0.102 |
|
2021 |
Tushar FI, D'Anniballe VM, Hou R, Mazurowski MA, Fu W, Samei E, Rubin GD, Lo JY. Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning. Radiology. Artificial Intelligence. 4: e210026. PMID 35146433 DOI: 10.1148/ryai.210026 |
0.101 |
|
2022 |
Zhang D, Neely B, Lo JY, Patel BN, Hyslop T, Gupta RT. Utility of a Rule-Based Algorithm in the Assessment of Standardized Reporting in PI-RADS. Academic Radiology. PMID 35909050 DOI: 10.1016/j.acra.2022.06.024 |
0.098 |
|
2006 |
Land WH, McKee DW, Anderson FR, Masters T, Lo JY, Embrechts M, Heine J. Using computational intelligence for computer-aided diagnosis of screen-film mammograms Recent Advances in Breast Imaging, Mammography, and Computer-Aided Diagnosis of Breast Cancer. 315-375. DOI: 10.1117/3.651880.ch10 |
0.095 |
|
2015 |
Schmidt M, Lo JY, Grzetic S, Lutzky C, Brizel DM, Das SK. Semiautomated head-and-neck IMRT planning using dose warping and scaling to robustly adapt plans in a knowledge database containing potentially suboptimal plans. Medical Physics. 42: 4428. PMID 26233173 DOI: 10.1118/1.4923174 |
0.093 |
|
2011 |
Chanyavanich V, Das S, Lo J. SU-E-T-851: An Inter-Institutional Comparison of Knowledge-Based IMRT Treatment Planning for Prostate Cancer Medical Physics. 38: 3687-3687. DOI: 10.1118/1.3612815 |
0.092 |
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2002 |
Keogan MT, Lo JY, Freed KS, Raptopoulos V, Blake S, Kamel IR, Weisinger K, Rosen MP, Nelson RC. Outcome analysis of patients with acute pancreatitis by using an artificial neural network. Academic Radiology. 9: 410-9. PMID 11942655 DOI: 10.1016/s1076-6332(03)80186-1 |
0.092 |
|
2014 |
Grzetic S, Lutzky C, Das S, Lo J. TU-C-17A-09: Multi-Case Knowledge-Based IMRT Treatment Planning in Head and Neck Cancer: Are Six Heads Better Than One? Medical Physics. 41: 460. PMID 28037723 DOI: 10.1118/1.4889284 |
0.088 |
|
2012 |
Chanyavanich V, Lo J, Das S. SU-E-T-572: A Plan Quality Metric for Evaluating Knowledge-Based Treatment Plans. Medical Physics. 39: 3837. PMID 28517094 DOI: 10.1118/1.4735661 |
0.084 |
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2012 |
Dick D, Das S, Lo J. WE-G-BRCD-06: Knowledge-Based Intensity Modulated Radiotherapy (IMRT) Treatment Planning for Prostate Cancer. Medical Physics. 39: 3965-3966. PMID 28519655 DOI: 10.1118/1.4736183 |
0.08 |
|
2014 |
Lutzky C, Grzetic S, Lo J, Das S. SU-E-T-357: Semi-Automated Knowledge-Based Radiation Therapy (KBRT) Planning for Head-And-Neck Cancer (HNC): Can KBRT Plans Achieve Better Results Than Manual Planning? Medical Physics. 41: 306. PMID 28036457 DOI: 10.1118/1.4888690 |
0.076 |
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2013 |
Good D, Lo J, Lee WR, Wu QJ, Yin FF, Das SK. A knowledge-based approach to improving and homogenizing intensity modulated radiation therapy planning quality among treatment centers: an example application to prostate cancer planning. International Journal of Radiation Oncology, Biology, Physics. 87: 176-81. PMID 23623460 DOI: 10.1016/J.Ijrobp.2013.03.015 |
0.07 |
|
2011 |
Chanyavanich V, Das SK, Lee WR, Lo JY. Knowledge-based IMRT treatment planning for prostate cancer. Medical Physics. 38: 2515-22. PMID 21776786 DOI: 10.1118/1.3574874 |
0.069 |
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1999 |
Munley MT, Lo JY, Sibley GS, Bentel GC, Anscher MS, Marks LB. A neural network to predict symptomatic lung injury. Physics in Medicine and Biology. 44: 2241-9. PMID 10495118 DOI: 10.1088/0031-9155/44/9/311 |
0.065 |
|
1998 |
Munlcy M, Lo J, Sibley G, Bentel G, Marks L. A neural network to predict symptomatic lung injury International Journal of Radiation Oncology*Biology*Physics. 42: 173. DOI: 10.1016/S0360-3016(98)80198-3 |
0.065 |
|
2006 |
Lo J, Shizgal BD. Spectral convergence of the quadrature discretization method in the solution of the Schrodinger and Fokker-Planck equations: comparison with sinc methods. The Journal of Chemical Physics. 125: 194108. PMID 17129090 DOI: 10.1063/1.2378622 |
0.05 |
|
2015 |
Schmidt M, Lo JY, Grzetic S, Lutzky C, Brizel DM, Das SK. Semiautomated head-and-neck IMRT planning using dose warping and scaling to robustly adapt plans in a knowledge database containing potentially suboptimal plans Medical Physics. 42. DOI: 10.1118/1.4923174 |
0.047 |
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