Satish E. Viswanath

University Hospitals of Cleveland — United States

Medicine · Health Sciences

24h-index1.9kcitations145works2.92yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(81), Colorectal Cancer Surgical Treatments(23), AI in cancer detection(22), MRI in cancer diagnosis(22), Prostate Cancer Diagnosis and Treatment(20)

Publications144 total

Predicting Tumor Regrowth in Patients Undergoing Non-Operative Management after Total Neoadjuvant Therapy
Journal of Gastrointestinal Cancer·2025Open Access
#2802 Integrated proteomic and radiomic signatures to predict ejection fraction improvement in CKD patients listed for kidney transplantation
Nephrology Dialysis Transplantation·2025Open Access
Artificial Intelligence Applications in the Diagnosis and Management of Cirrhosis and Portal Hypertension: A Narrative Review
Techniques in vascular and interventional radiology·2025· 1 citedOpen Access
Mutual Information Regularization for Fairness-Aware Deep Imaging Representations
Lecture notes in computer science·2025
Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study
arXiv (Cornell University)·2025Open Access
A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI
npj Precision Oncology·2025· 2 citedOpen Access
Pathogenomic fingerprinting to identify associations between tumor morphology and epigenetic states
European Journal of Cancer·2025· 1 citedOpen Access
Computational quantification of inflammatory impact in preclinical models via digitized murine histopathology
2025
Development of an integrated radioproteomic signature for improved ejection fraction in end-stage kidney disease postkidney transplantation via cardiac MR T1 maps
2025
Optimizing Technology to Improve Medication Adherence and BP Control (OPTIMA-BP) Intervention Versus Waitlisted Group in African American Adults with Hypertension: A Randomized Control Trial Protocol
Nursing Research and Reviews·2025Open Access
551 Computational Analysis of Digitized Pre-Treatment Biopsies of Rectal Adenocarcinomas Identifies Tumor Microenvironment Features Associated with Response to Chemoradiation
Laboratory Investigation·2025
Integrating self-configuring and foundational deep learning segmentation models for identifying the anal sphincter complex and perianal fistulae on pelvic MRI
2025
A Fully Automated Artificial Intelligence-Based Approach to Predict Renal Function After Radical or Partial Nephrectomy
Urology·2025· 2 cited
Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn’s Disease on CT Enterography Across Annotation Variations and Acquisition Differences
Journal of Imaging Informatics in Medicine·2024· 1 citedOpen Access
Association of MR image quality measures with diagnostic accuracy and inter-reader agreement of PI-RADS for detection of prostate cancer
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models
npj Imaging·2024· 6 citedOpen Access
Quantification of Visceral Fat at the L5 Vertebral Body Level in Patients with Crohn’s Disease Using T2-Weighted MRI
Bioengineering·2024· 1 citedOpen Access
Radiomics to Detect Inflammation and Fibrosis on Magnetic Resonance Enterography in Stricturing Crohn’s Disease
Journal of Crohn s and Colitis·2024· 16 citedOpen Access
Evaluating the Change in 18F-Fluorodeoxyglucose Uptake in Perianal Fistulas on PET/CT over Time: A Serial Retrospective Analysis
Academic Radiology·2024· 1 cited
Tu1994 AUTOMATED DEEP LEARNING SEGMENTATION OF ANAL SPHINCTER COMPLEX AND PERIANAL FISTULAS ON PELVIC MRI OF PERIANAL FISTULIZING CROHN'S DISEASE
Gastroenterology·2024· 1 cited
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Frequent Co-authors

Anant Madabhushi(37), Prathyush Chirra(10), B Bloch(9), Jonathan Chappelow(8), Neil M. Rofsky(8), Andrei S. Purysko(8), Pallavi Tiwari(8), Robert E. Lenkinski(7), Róbert Tóth(6), Jacob Antunes(6), Mark Rosen(6), Elizabeth M. Genega(5), Mirabela Rusu(5), Kaustav Bera(5), Sharon L. Stein(5), Rajmohan Paspulati(4), Maret Böhm(3), Warick Delprado(3), Lee Ponsky(3), Phillip D. Stricker(3)