S. Viswanath

发表

Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI

Anant Madabhushi, Satish Viswanath, Tarun K Podder, 2016, Radiation Oncology.

Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2‐weighted MR imagery

R. Lenkinski, N. Rofsky, A. Madabhushi, 2012, Journal of magnetic resonance imaging : JMRI.

Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies

Anant Madabhushi, Satish Viswanath, A. Madabhushi, 2017, Scientific Reports.

Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings

Anant Madabhushi, Soumya Ghose, Satish Viswanath, 2018, Journal of magnetic resonance imaging : JMRI.

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

Justin T. Brady, A. Madabhushi, J. Willis, 2020, Cancers.

Predicting Classifier Performance with Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer

A. Madabhushi, Ajay Basavanhally, S. Viswanath, 2015, PloS one.

Identifying Cross-Scale Associations between Radiomic and Pathomic Signatures of Non-Small Cell Lung Cancer Subtypes: Preliminary Results

E. Romero, P. Prasanna, S. Viswanath, 2020, Cancers.

Radiomic Features of Primary Rectal Cancers on Baseline T2‐Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study

Justin T. Brady, A. Madabhushi, J. Willis, 2020, Journal of magnetic resonance imaging : JMRI.

Staging and Restaging of Rectal Cancer with MRI: A Pictorial Review.

D. Líška, S. Viswanath, A. Purysko, 2022, Seminars in ultrasound, CT, and MR.

Multi-modal Integration of Magnetic Resonance Imaging and Spectroscopy for Detection of Prostate Cancer

Madabhushi, Anant, P. Tiwari, 2009 .

Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI

D. Líška, S. Krishnamurthi, S. Viswanath, 2022, Medical Imaging.

Adipokine Resistin Levels at Time of Pediatric Crohn Disease Diagnosis Predict Escalation to Biologic Therapy.

J. Achkar, C. Fiocchi, S. Viswanath, 2020, Inflammatory bowel diseases.

Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy pdf

Daniel S. Marcus, Satish Viswanath, David T. Fuentes, 2021, ArXiv.

Crohn's disease related strictures in cross‐sectional imaging: More than meets the eye?

Namita S. Gandhi, M. Baker, F. Rieder, 2022, United European gastroenterology journal.

Identifying radiomic features associated with disease activity, patient outcomes, and serum phenotypes in pediatric Crohn's disease via MRI

S. Viswanath, Prathyush Chirra, Jacob A. Kurowski, 2022, Medical Imaging.

Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn's Disease: A Pilot Study.

A. Madabhushi, M. Dave, Cheng Lu, 2022, Inflammatory bowel diseases.

Challenges in ensuring the generalizability of image quantitation methods for MRI.

Megan E Poorman, N. deSouza, A. Chaudhari, 2021, Medical physics.

Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data

Anant Madabhushi, Satish Viswanath, A. Madabhushi, 2012, BMC Bioinformatics.

Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection

P Tiwari, S Viswanath, J Kurhanewicz, 2012, NMR in biomedicine.

Novel PCA‐VIP scheme for ranking MRI protocols and identifying computer‐extracted MRI measurements associated with central gland and peripheral zone prostate tumors

Anant Madabhushi, B. Nicolas Bloch, Robert E. Lenkinski, 2015, Journal of magnetic resonance imaging : JMRI.

Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study1

Anant Madabhushi, Jacob Antunes, Laia Valls, 2016, Translational oncology.

Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells

Neal K. Bennett, Nathaniel S. Hwang, B. Garcia, 2017, Scientific Reports.

Sa2018 - Radiomic Texture Analysis Shows Differential Expression within Visceral Adipose Tissue Regions on MRI Reflecting Severity of Pediatric Crohn's Disease

J. Achkar, R. Thawani, C. Fiocchi, 2018 .

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

A. Madabhushi, B. Eck, K. Bera, 2021, Journal of magnetic resonance imaging : JMRI.

Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies

A. Madabhushi, S. Viswanath, Haibo Wang, 2017, Scientific Reports.

RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction

Prateek Prasanna, Anant Madabhushi, Jacob Antunes, 2017, MICCAI.

Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases

George Lee, Anant Madabhushi, Pallavi Tiwari, 2017, BMC Medical Imaging.

Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI

T. Podder, A. Madabhushi, R. Shiradkar, 2016, Radiation oncology.

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

Anant Madabhushi, Mark Rosen, B. Nicolas Bloch, 2019, BMC Medical Imaging.

Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation

A. Madabhushi, M. Rusu, S. Pahwa, 2017, Scientific Reports.

Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings

Anant Madabhushi, Pallavi Tiwari, Michael Feldman, 2018, PloS one.

Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI

Anant Madabhushi, Mark Rosen, B. Nicolas Bloch, 2018, Medical Imaging.

A quantitative data representation framework for structural and functional MR Imaging with application to prostate cancer detection

Satish Easwar Viswanath, S. Viswanath, 2012 .

Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI

Anant Madabhushi, B. Nicolas Bloch, Elizabeth Genega, 2011, Medical Imaging.

CADOnc ⓒ: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI

Anant Madabhushi, Robert Toth, Pallavi Tiwari, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Tu1966 A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE

A. Madabhushi, M. Dave, F. Cominelli, 2016 .

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

S. Viswanath, A. Sadri, T. DeSilvio, 2022, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI

D. Líška, S. Krishnamurthi, S. Viswanath, 2023, Medical Imaging.

Mesenchymal stem cells ameliorate inflammation in an experimental model of Crohn’s disease via the mesentery

M. Dave, F. Cominelli, J. Nolta, 2023, bioRxiv.

Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI

Anant Madabhushi, Robert Toth, Mark Rosen, 2009, Medical Imaging.

Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI

Anant Madabhushi, B. Nicolas Bloch, Satish Viswanath, 2019, Journal of medical imaging.

AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments

Andrew Janowczyk, Anant Madabhushi, Michael Feldman, 2016, Scientific Reports.

MRQy: An Open-Source Tool for Quality Control of MR Imaging Data

Anant Madabhushi, Ruchika Verma, Jacob Antunes, 2020, ArXiv.

A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI

Anant Madabhushi, Robert Toth, B. Nicolas Bloch, 2008, MICCAI.

Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study

D. Líška, K. Bera, S. Viswanath, 2023, Frontiers in Medicine.

Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation

Anant Madabhushi, Kaustav Bera, Justin T. Brady, 2019, Medical Imaging.

A review of machine learning in obesity

D M Thomas, Jonathan W. Roginski, S B Heymsfield, 2018, Obesity reviews : an official journal of the International Association for the Study of Obesity.

Differentiating Cancerous and Non-cancerous Prostate Tissue Using Multi-scale Texture Analysis on MRI

Satish E. Viswanath, Charlems Álvarez Jimenez, Cristian Barrera, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer

Anant Madabhushi, Robert Toth, Satish Viswanath, 2014, Neurocomputing.

Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy

Anant Madabhushi, Satish Viswanath, Michael D Feldman, 2014, Journal of medical imaging.

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation

Geert J. S. Litjens, Anant Madabhushi, Henkjan J. Huisman, 2014, Medical Imaging.

STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI

Anant Madabhushi, Jacob Antunes, Pallavi Tiwari, 2019, MICCAI.

Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI

Jacob Antunes, Kaustav Bera, Raj M. Paspulati, 2019, Medical Imaging.

Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI

Anant Madabhushi, B. Nicolas Bloch, Elizabeth Genega, 2011, Medical Imaging.

Physics-Informed Discretization for Reproducible and Robust Radiomic Feature Extraction Using Quantitative MRI

S. Viswanath, Gregor Körzdörfer, A. Kazerooni, 2023, Investigative radiology.

CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models

Maxime W. Lafarge, A. Madabhushi, A. Janowczyk, 2023, ArXiv.