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Satish E. Viswanath

Observed names: S Viswanath, S. Viswanath, S.E. Viswanath, Satish E Viswanath, Satish Easwar Viswanath, Satish Viswanath, Viswanath, Satish, Viswanath, Satish E., Viswanath, Satish Easwar
Observed institutions: Rutgers, The State University of New Jersey, Cleveland Clinic, Emory University, Emory and Henry College, Veterans Health Administration, Louis Stokes Cleveland VA Medical Center, Case Western Reserve University
ORCID: 0000-0003-4550-8337
Observed ORCID: 0000-0003-4550-8337
OpenAlex ID: A5016940872
A review of machine learning in obesity
2018 · K. W. DeGregory, P. Kuiper, et al. · Obesity Reviews · 225
Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2‐weighted MR imagery
2012 · Satish E. Viswanath, Nicholas B. Bloch, et al. · Journal of Magnetic Resonance Imaging · 124
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Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings
2018 · Ahmad Algohary, Satish Viswanath, et al. · Journal of Magnetic Resonance Imaging · 114
Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study
2016 · Jacob Antunes, Satish Viswanath, et al. · Translational Oncology · 104
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Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI
2016 · Rakesh Shiradkar, Tarun K Podder, et al. · Radiation Oncology · 96
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Radiomic Features of Primary Rectal Cancers on Baseline T2‐Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study
2020 · Jacob T. Antunes, Asya Ofshteyn, et al. · Journal of Magnetic Resonance Imaging · 73
Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection
2011 · P. Tiwari, S. Viswanath, et al. · NMR in Biomedicine · 70
Identifying Cross-Scale Associations between Radiomic and Pathomic Signatures of Non-Small Cell Lung Cancer Subtypes: Preliminary Results
2020 · Charlems Alvarez-Jimenez, Alvaro A. Sandino, et al. · Cancers · 65
Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings
2018 · Gregory Penzias, Asha Singanamalli, et al. · PLoS ONE · 65
Technical Note: MRQy — An open‐source tool for quality control of MR imaging data
2020 · Amir Reza Sadri, Andrew Janowczyk, et al. · Medical Physics · 56
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Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study
2019 · Satish E. Viswanath, Prathyush V. Chirra, et al. · BMC Medical Imaging · 45
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A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In Vivo Prostate DCE-MRI
2008 · Satish Viswanath, B. Nicolas Bloch, et al. · Lecture notes in computer science · 42
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Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI
2009 · Satish Viswanath, B. Nicolas Bloch, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 41
Challenges in ensuring the generalizability of image quantitation methods for MRI
2021 · Kathryn E. Keenan, Jana G. Delfino, et al. · Medical Physics · 40
MSCs mediate long-term efficacy in a Crohn’s disease model by sustained anti-inflammatory macrophage programming via efferocytosis
2024 · Maneesh Dave, Atul Dev, et al. · npj Regenerative Medicine · 39
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Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI
2019 · Prathyush Chirra, Patrick Leo, et al. · Journal of medical imaging · 39
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Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn’s Disease: A Pilot Study
2022 · Prathyush Chirra, Anamay Sharma, et al. · Inflammatory Bowel Diseases · 34
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
2020 · Charlems Alvarez-Jimenez, Jacob T. Antunes, et al. · Cancers · 33
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Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors
2014 · Shoshana B. Ginsburg, Satish E. Viswanath, et al. · Journal of Magnetic Resonance Imaging · 31
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Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation
2017 · Lin Li, Shivani Pahwa, et al. · Scientific Reports · 30
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Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI
2011 · D. Palumbo, B. Yee, et al. · 29
Crohn's disease related strictures in cross‐sectional imaging: More than meets the eye?
2022 · Joseph Sleiman, Prathyush Chirra, et al. · United European Gastroenterology Journal · 27
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Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI
2018 · Prathyush Chirra, Nicolas B. Bloch, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 26
Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data
2011 · Pallavi Tiwari, Satish Viswanath, et al. · IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · 26
Radiomics to Detect Inflammation and Fibrosis on Magnetic Resonance Enterography in Stricturing Crohn’s Disease
2024 · Prathyush Chirra, Joseph Sleiman, et al. · Journal of Crohn s and Colitis · 24
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Works count: 142
Citation count: 1,995
H-index: 24
I10-index: 45
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