Satish E. Viswanath, Ph.D.
Affiliations: | 2012 | Graduate School - New Brunswick | Rutgers University, New Brunswick, New Brunswick, NJ, United States |
Area:
Biomedical Engineering, RadiologyGoogle:
"Satish Viswanath"Parents
Sign in to add mentor| Anant Madabhushi | grad student | 2012 | Rutgers, New Brunswick | |
| (A quantitative data representation framework for structural and functional MR imaging with application to prostate cancer detection.) | ||||
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Publications
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| Zhao W, Hu Z, Kazerooni AF, et al. (2023) Physics-Informed Discretization for Reproducible and Robust Radiomic Feature Extraction Using Quantitative MRI. Investigative Radiology |
| DeSilvio T, Antunes JT, Bera K, et al. (2023) 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 |
| Wetzel A, Viswanath S, Gorgun E, et al. (2022) Staging and Restaging of Rectal Cancer with MRI: A Pictorial Review. Seminars in Ultrasound, Ct, and Mr. 43: 441-454 |
| Chirra P, Sharma A, Bera K, et al. (2022) Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn's Disease: A Pilot Study. Inflammatory Bowel Diseases |
| Antunes J, Ismail M, Hossain I, et al. (2022) RADIomic Spatial TexturAl descripTor (RADISTAT): Quantifying spatial organization of imaging heterogeneity associated with tumor response to treatment. Ieee Journal of Biomedical and Health Informatics |
| Keenan KE, Delfino JG, Jordanova KV, et al. (2021) Challenges in ensuring the generalizability of image quantitation methods for MRI. Medical Physics |
| Eck B, Chirra PV, Muchhala A, et al. (2021) 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 |
| Sadri AR, Janowczyk A, Zhou R, et al. (2020) Technical Note: MRQy - An Open-Source Tool for Quality Control of MR Imaging Data. Medical Physics |
| Alvarez-Jimenez C, Antunes JT, Talasila N, et al. (2020) 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 |
| Antunes JT, Ofshteyn A, Bera K, et al. (2020) 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 |