| Year |
Citation |
Score |
| 2023 |
Zhao W, Hu Z, Kazerooni AF, Körzdörfer G, Nittka M, Davatzikos C, Viswanath SE, Wang X, Badve C, Ma D. Physics-Informed Discretization for Reproducible and Robust Radiomic Feature Extraction Using Quantitative MRI. Investigative Radiology. PMID 37812483 DOI: 10.1097/RLI.0000000000001026 |
0.353 |
|
| 2023 |
DeSilvio T, Antunes JT, Bera K, Chirra P, Le H, Liska D, Stein SL, Marderstein E, Hall W, Paspulati R, Gollamudi J, Purysko AS, Viswanath SE. Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study. Frontiers in Medicine. 10: 1149056. PMID 37250635 DOI: 10.3389/fmed.2023.1149056 |
0.368 |
|
| 2022 |
Wetzel A, Viswanath S, Gorgun E, Ozgur I, Allende D, Liska D, Purysko AS. Staging and Restaging of Rectal Cancer with MRI: A Pictorial Review. Seminars in Ultrasound, Ct, and Mr. 43: 441-454. PMID 36462804 DOI: 10.1053/j.sult.2022.06.003 |
0.319 |
|
| 2022 |
Chirra P, Sharma A, Bera K, Cohn HM, Kurowski JA, Amann K, Rivero MJ, Madabhushi A, Lu C, Paspulati R, Stein SL, Katz JA, Viswanath SE, Dave M. Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn's Disease: A Pilot Study. Inflammatory Bowel Diseases. PMID 36250776 DOI: 10.1093/ibd/izac211 |
0.426 |
|
| 2022 |
Antunes J, Ismail M, Hossain I, Wang Z, Prasanna P, Madabushi A, Tiwari P, Viswanath S. RADIomic Spatial TexturAl descripTor (RADISTAT): Quantifying spatial organization of imaging heterogeneity associated with tumor response to treatment. Ieee Journal of Biomedical and Health Informatics. PMID 35085099 DOI: 10.1109/JBHI.2022.3146778 |
0.588 |
|
| 2021 |
Keenan KE, Delfino JG, Jordanova KV, Poorman ME, Chirra P, Chaudhari AS, Baessler B, Winfield J, Viswanath SE, deSouza NM. Challenges in ensuring the generalizability of image quantitation methods for MRI. Medical Physics. PMID 34455593 DOI: 10.1002/mp.15195 |
0.307 |
|
| 2021 |
Eck B, Chirra PV, Muchhala A, Hall S, Bera K, Tiwari P, Madabhushi A, Seiberlich N, Viswanath SE. Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters. Journal of Magnetic Resonance Imaging : Jmri. PMID 33860966 DOI: 10.1002/jmri.27635 |
0.686 |
|
| 2020 |
Sadri AR, Janowczyk A, Zhou R, Verma R, Beig N, Antunes J, Madabhushi A, Tiwari P, Viswanath SE. Technical Note: MRQy - An Open-Source Tool for Quality Control of MR Imaging Data. Medical Physics. PMID 33176026 DOI: 10.1002/mp.14593 |
0.77 |
|
| 2020 |
Alvarez-Jimenez C, Antunes JT, Talasila N, Bera K, Brady JT, Gollamudi J, Marderstein E, Kalady MF, Purysko A, Willis JE, Stein S, Friedman K, Paspulati R, Delaney CP, Romero E, ... ... Viswanath SE, et al. Radiomic Texture and Shape Descriptors of the Rectal Environment on Post-Chemoradiation T2-Weighted MRI are Associated with Pathologic Tumor Stage Regression in Rectal Cancers: A Retrospective, Multi-Institution Study. Cancers. 12. PMID 32722082 DOI: 10.3390/Cancers12082027 |
0.592 |
|
| 2020 |
Antunes JT, Ofshteyn A, Bera K, Wang EY, Brady JT, Willis JE, Friedman KA, Marderstein EL, Kalady MF, Stein SL, Purysko AS, Paspulati R, Gollamudi J, Madabhushi A, Viswanath SE. Radiomic Features of Primary Rectal Cancers on Baseline T -Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study. Journal of Magnetic Resonance Imaging : Jmri. PMID 32216127 DOI: 10.1002/Jmri.27140 |
0.585 |
|
| 2019 |
Alvarez-Jimenez C, Barrera C, Munera N, Viswanath SE, Romero E. Differentiating Cancerous and Non-cancerous Prostate Tissue Using Multi-scale Texture Analysis on MRI. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 2695-2698. PMID 31946451 DOI: 10.1109/EMBC.2019.8856927 |
0.45 |
|
| 2019 |
Chirra P, Leo P, Yim M, Bloch BN, Rastinehad AR, Purysko A, Rosen M, Madabhushi A, Viswanath SE. Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI. Journal of Medical Imaging (Bellingham, Wash.). 6: 024502. PMID 31259199 DOI: 10.1117/1.Jmi.6.2.024502 |
0.63 |
|
| 2019 |
Viswanath SE, Chirra PV, Yim MC, Rofsky NM, Purysko AS, Rosen MA, Bloch BN, Madabhushi A. Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. Bmc Medical Imaging. 19: 22. PMID 30819131 DOI: 10.1186/S12880-019-0308-6 |
0.697 |
|
| 2018 |
Penzias G, Singanamalli A, Elliott R, Gollamudi J, Shih N, Feldman M, Stricker PD, Delprado W, Tiwari S, Böhm M, Haynes AM, Ponsky L, Fu P, Tiwari P, Viswanath S, et al. Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings. Plos One. 13: e0200730. PMID 30169514 DOI: 10.1371/Journal.Pone.0200730 |
0.729 |
|
| 2018 |
Algohary A, Viswanath S, Shiradkar R, Ghose S, Pahwa S, Moses D, Jambor I, Shnier R, Böhm M, Haynes AM, Brenner P, Delprado W, Thompson J, Pulbrock M, Purysko AS, et al. Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings. Journal of Magnetic Resonance Imaging : Jmri. PMID 29469937 DOI: 10.1002/Jmri.25983 |
0.656 |
|
| 2018 |
Antunes J, Viswanath S, Brady JT, Crawshaw B, Ros P, Steele S, Delaney CP, Paspulati R, Willis J, Madabhushi A. Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary Findings. Academic Radiology. PMID 29371120 DOI: 10.1016/J.Acra.2017.12.006 |
0.622 |
|
| 2018 |
Antunes J, Selvam A, Bera K, Brady J, Willis J, Paspulati Rm, Madabhushi A, Delaney CP, Viswanath S. 857 - Machine Learning Analysis of the Whole Rectal Wall on Post-Neoadjuvant Chemoradiation MRI may offer Accurate Identifiction of Rectal Cancer Patients Needing more Aggressive Follow-Up or Surgery Gastroenterology. 154: S-1289. DOI: 10.1016/S0016-5085(18)34228-8 |
0.512 |
|
| 2018 |
Kurowski JA, Barbur I, Gupta R, Bera K, Thawani R, Worley S, Achkar J, Fiocchi C, Kay MH, Viswanath S. Sa2018 - Radiomic Texture Analysis Shows Differential Expression within Visceral Adipose Tissue Regions on MRI Reflecting Severity of Pediatric Crohn's Disease Gastroenterology. 154: S-448-S-449. DOI: 10.1016/S0016-5085(18)31754-2 |
0.307 |
|
| 2017 |
Wang H, Viswanath S, Madabhushi A. Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies. Scientific Reports. 7: 12375. PMID 28959011 DOI: 10.1038/S41598-017-12569-Z |
0.622 |
|
| 2017 |
Li L, Pahwa S, Penzias G, Rusu M, Gollamudi J, Viswanath S, Madabhushi A. Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation. Scientific Reports. 7: 8717. PMID 28821786 DOI: 10.1038/S41598-017-08969-W |
0.642 |
|
| 2017 |
Viswanath SE, Tiwari P, Lee G, Madabhushi A. Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases. Bmc Medical Imaging. 17: 2. PMID 28056889 DOI: 10.1186/S12880-016-0172-6 |
0.673 |
|
| 2017 |
Kim JJ, Bennett NK, Devita MS, Chahar S, Viswanath S, Lee EA, Jung G, Shao PP, Childers EP, Liu S, Kulesa A, Garcia BA, Becker ML, Hwang NS, Madabhushi A, et al. Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells. Scientific Reports. 7: 39406. PMID 28051095 DOI: 10.1038/Srep39406 |
0.477 |
|
| 2016 |
Shiradkar R, Podder TK, Algohary A, Viswanath S, Ellis RJ, Madabhushi A. Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI. Radiation Oncology (London, England). 11: 148. PMID 27829431 DOI: 10.1186/S13014-016-0718-3 |
0.598 |
|
| 2016 |
Penzias G, Janowczyk A, Singanamalli A, Rusu M, Shih N, Feldman M, Stricker PD, Delprado W, Tiwari S, Böhm M, Haynes AM, Ponsky L, Viswanath S, Madabhushi A. AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments. Scientific Reports. 6: 29906. PMID 27457670 DOI: 10.1038/Srep29906 |
0.72 |
|
| 2016 |
Antunes J, Viswanath S, Rusu M, Valls L, Hoimes C, Avril N, Madabhushi A. Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study. Translational Oncology. 9: 155-62. PMID 27084432 DOI: 10.1016/J.Tranon.2016.01.008 |
0.59 |
|
| 2016 |
Li L, Rusu M, Viswanath S, Penzias G, Pahwa S, Gollamudi J, Madabhushi A. Multi-modality registration via multi-scale textural and spectral embedding representations Proceedings of Spie. 9784: 978446. DOI: 10.1117/12.2217639 |
0.633 |
|
| 2016 |
Cohn H, Lu C, Paspulati RM, Katz J, Madabhushi A, Stein SL, Cominelli F, Viswanath S, Dave M. Tu1966 A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE Gastroenterology. 150: S992. DOI: 10.1016/S0016-5085(16)33359-5 |
0.437 |
|
| 2015 |
Basavanhally A, Viswanath S, Madabhushi A. Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer. Plos One. 10: e0117900. PMID 25993029 DOI: 10.1371/Journal.Pone.0117900 |
0.785 |
|
| 2015 |
Ginsburg SB, Viswanath SE, Bloch BN, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors. Journal of Magnetic Resonance Imaging : Jmri. 41: 1383-93. PMID 24943647 DOI: 10.1002/Jmri.24676 |
0.663 |
|
| 2015 |
Algohary A, Viswanath S, Prasanna P, Pahwa S, Gulani V, Moses D, Shnier R, Böhm M, Haynes A, Brenner P, Delprado W, Thompson J, Pulbrock M, Stricker P, Ponsky L, et al. MP60-04 QUANTITATIVE ASSESSMENT OF T2-WEIGHTED MRI TO BETTER IDENTIFY PATIENTS WITH PROSTATE CANCER IN A SCREENING POPULATION Journal of Urology. 193. DOI: 10.1016/J.Juro.2015.02.2206 |
0.532 |
|
| 2014 |
Litjens GJ, Huisman HJ, Elliott RM, Shih NN, Feldman MD, Viswanath S, Fütterer JJ, Bomers JG, Madabhushi A. Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy. Journal of Medical Imaging (Bellingham, Wash.). 1: 035001. PMID 26158070 DOI: 10.1117/1.Jmi.1.3.035001 |
0.672 |
|
| 2014 |
Viswanath S, Toth R, Rusu M, Sperling D, Lepor H, Futterer J, Madabhushi A. Identifying Quantitative In Vivo Multi-Parametric MRI Features For Treatment Related Changes after Laser Interstitial Thermal Therapy of Prostate Cancer. Neurocomputing. 144: 13-23. PMID 25346574 DOI: 10.1016/J.Neucom.2014.03.065 |
0.669 |
|
| 2014 |
Litjens G, Huisman H, Elliott R, Shih N, Feldman M, Viswanath S, Fütterer J, Bomers J, Madabhushi A. Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9036. DOI: 10.1117/12.2043819 |
0.663 |
|
| 2013 |
Viswanath S, Toth R, Rusu M, Sperling D, Lepor H, Futterer J, Madabhushi A. Quantitative Evaluation of Treatment Related Changes on Multi-Parametric MRI after Laser Interstitial Thermal Therapy of Prostate Cancer. Proceedings of Spie--the International Society For Optical Engineering. 8671: 86711F. PMID 24817802 DOI: 10.1117/12.2008037 |
0.668 |
|
| 2013 |
Wang H, Viswanath S, Madabuhshi A. Discriminatively weighted multi-scale Local Binary Patterns: Applications in prostate cancer diagnosis on T2W MRI Proceedings - International Symposium On Biomedical Imaging. 398-401. DOI: 10.1109/ISBI.2013.6556496 |
0.339 |
|
| 2013 |
Madabhushi A, Viswanath S, Lee G, Tiwari P. Medical Image Informatics for Personalized Medicine Critical Values. 6: 30-33. DOI: 10.1093/Criticalvalues/6.3.30 |
0.631 |
|
| 2012 |
Viswanath SE, Bloch NB, Chappelow JC, Toth R, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery. Journal of Magnetic Resonance Imaging : Jmri. 36: 213-24. PMID 22337003 DOI: 10.1002/Jmri.23618 |
0.78 |
|
| 2012 |
Viswanath S, Madabhushi A. Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data. Bmc Bioinformatics. 13: 26. PMID 22316103 DOI: 10.1186/1471-2105-13-26 |
0.519 |
|
| 2012 |
Tiwari P, Viswanath S, Kurhanewicz J, Sridhar A, Madabhushi A. Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection. Nmr in Biomedicine. 25: 607-19. PMID 21960175 DOI: 10.1002/Nbm.1777 |
0.751 |
|
| 2011 |
Tiwari P, Viswanath S, Lee G, Madabhushi A. MULTI-MODAL DATA FUSION SCHEMES FOR INTEGRATED CLASSIFICATION OF IMAGING AND NON-IMAGING BIOMEDICAL DATA. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2011: 165-168. PMID 25705325 DOI: 10.1109/ISBI.2011.5872379 |
0.701 |
|
| 2011 |
Viswanath S, Tiwari P, Chappelow J, Toth R, Kurhanewicz J, Madabhushi A. CADOnc(©): An Integrated Toolkit For Evaluating Radiation Therapy Related Changes In The Prostate Using Multiparametric MRI. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2011: 2095-2098. PMID 25360226 DOI: 10.1109/ISBI.2011.5872825 |
0.825 |
|
| 2011 |
Viswanath S, Bloch BN, Chappelow J, Patel P, Rofsky N, Lenkinski R, Genega E, Madabhushi A. Enhanced Multi-Protocol Analysis via Intelligent Supervised Embedding (EMPrAvISE): Detecting Prostate Cancer on Multi-Parametric MRI. Proceedings of Spie--the International Society For Optical Engineering. 7963: 79630U. PMID 25301991 DOI: 10.1117/12.878312 |
0.812 |
|
| 2011 |
Palumbo D, Yee B, O'Dea P, Leedy S, Viswanath S, Madabhushi A. Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 5080-3. PMID 22255481 DOI: 10.1109/IEMBS.2011.6091258 |
0.609 |
|
| 2011 |
Viswanath S, Palumbo D, Chappelow J, Patel P, Bloch BN, Rofsky N, Lenkinski R, Genega E, Madabhushi A. Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963. DOI: 10.1117/12.878813 |
0.784 |
|
| 2011 |
Lai Y, Viswanath S, Baccon J, Ellison D, Judkins AR, Madabhushi A. A texture-based classifier to discriminate anaplastic from non-anaplastic medulloblastoma 2011 Ieee 37th Annual Northeast Bioengineering Conference, Nebec 2011. DOI: 10.1109/NEBC.2011.5778641 |
0.418 |
|
| 2011 |
Tiwari P, Viswanath S, Kurhanewicz J, Madabhushi A. Weighted combination of multi-parametric MR imaging markers for evaluating radiation therapy related changes in the prostate Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6963: 80-91. DOI: 10.1007/978-3-642-23944-1_9 |
0.741 |
|
| 2010 |
Chappelow J, Both S, Viswanath S, Hahn S, Feldman MD, Rosen M, Tomaszewski J, Vapiwala N, Patel P, Madabhushi A. Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI Proceedings of Spie. 7625. DOI: 10.1117/12.844653 |
0.778 |
|
| 2009 |
Viswanath S, Bloch BN, Rosen M, Chappelow J, Toth R, Rofsky N, Lenkinski R, Genega E, Kalyanpur A, Madabhushi A. Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol In Vivo 3 Tesla MRI. Proceedings of Spie--the International Society For Optical Engineering. 7260: 72603I. PMID 25301989 DOI: 10.1117/12.811899 |
0.802 |
|
| 2009 |
Chappelow J, Bloch BN, Rofsky N, Genega E, Lenkinski R, Dewolf W, Viswanath S, Madabhushi A. COLLINARUS: Collection of image-derived non-linear attributes for registration using splines Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7259. DOI: 10.1117/12.812352 |
0.812 |
|
| 2008 |
Viswanath S, Bloch BN, Genega E, Rofsky N, Lenkinski R, Chappelow J, Toth R, Madabhushi A. A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 662-9. PMID 18979803 DOI: 10.1007/978-3-540-85988-8_79 |
0.787 |
|
| 2008 |
Viswanath S, Tiwari P, Rosen M, Madabhushi A. A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.771022 |
0.754 |
|
| 2008 |
Viswanath S, Rosen M, Madabhushi A. A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.770868 |
0.655 |
|
| 2008 |
Chappelow J, Viswanath S, Monaco J, Rosen M, Tomaszewski J, Feldman M, Madabhushi A. Improving supervised classification accuracy using non-rigid multimodal image registration: Detecting prostate cancer Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.770703 |
0.803 |
|
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