Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer. - Jonathan Chappelow; Satish Viswanath; James Monaco; Mark Rosen; John Tomaszewski 001; Michael D. Feldman; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery. - Satish Viswanath; Mark Rosen; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging. - Satish Viswanath; Pallavi Tiwari; Mark Rosen; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI. - Satish Viswanath; B. Nicolas Bloch; Elizabeth Genega; Neil Rofsky; Robert E. Lenkinski; Jonathan Chappelow; Robert Toth; Anant Madabhushi (MICCAI (1), 2008)

Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI. - Satish Viswanath; B. Nicolas Bloch; Mark Rosen; Jonathan Chappelow; Robert Toth; Neil Rofsky; Robert E. Lenkinski; Elizabeth Genega; Arjun Kalyanpur; Anant Madabhushi (Computer-Aided Diagnosis, 2009)

COLLINARUS: collection of image-derived non-linear attributes for registration using splines. - Jonathan Chappelow; B. Nicolas Bloch; Neil Rofsky; Elizabeth Genega; Robert E. Lenkinski; William DeWolf; Satish Viswanath; Anant Madabhushi (Image Processing, 2009)

Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI. - Jonathan Chappelow; Stefan Both; Satish Viswanath; Stephen Hahn 002; Michael D. Feldman; Mark Rosen; John Tomaszewski 001; Neha Vapiwala; Pratik Patel; Anant Madabhushi (Image-Guided Procedures, 2010)

Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI. - Daniel Palumbo; Brian Yee; Patrick O'Dea; Shane Leedy; Satish Viswanath; Anant Madabhushi (EMBC, 2011)

Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data. - Pallavi Tiwari; Satish Viswanath; George Lee 002; Anant Madabhushi (ISBI, 2011)

CADOnc ©: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI. - Satish Viswanath; Pallavi Tiwari; Jonathan Chappelow; Robert Toth; John Kurhanewicz; Anant Madabhushi (ISBI, 2011)

Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI. - Satish Viswanath; B. Nicolas Bloch; Jonathan Chappelow; Pratik Patel; Neil Rofsky; Robert E. Lenkinski; Elizabeth Genega; Anant Madabhushi (Computer-Aided Diagnosis, 2011)

Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI. - Satish Viswanath; Daniel Palumbo; Jonathan Chappelow; Pratik Patel; B. Nicolas Bloch; Neil Rofsky; Robert E. Lenkinski; Elizabeth Genega; Anant Madabhushi (Computer-Aided Diagnosis, 2011)

Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate. - Pallavi Tiwari; Satish Viswanath; John Kurhanewicz; Anant Madabhushi (Prostate Cancer Imaging, 2011)

Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data. - Satish Viswanath; Anant Madabhushi (BMC Bioinform., 2012)

Discriminatively weighted multi-scale Local Binary Patterns: Applications in prostate cancer diagnosis on T2W MRI. - Haibo Wang; Satish Viswanath; Anant Madabhushi (ISBI, 2013)

Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer. - Satish Viswanath; Robert Toth; Mirabela Rusu; Dan Sperling; Herbert Lepor; Jurgen J. Fütterer; Anant Madabhushi (Image-Guided Procedures, 2013)

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation. - Geert Litjens 001; Henkjan J. Huisman; R. Elliott; Natalie Shih; Michael D. Feldman; Satish Viswanath; Jurgen J. Fütterer; J. Bomers; Anant Madabhushi (Image-Guided Procedures, 2014)

Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer. - Satish Viswanath; Robert Toth; Mirabela Rusu; Dan Sperling; Herbert Lepor; Jurgen J. Fütterer; Anant Madabhushi (Neurocomputing, 2014)

Multi-modality registration via multi-scale textural and spectral embedding representations. - Lin Li; Mirabela Rusu; Satish Viswanath; Gregory Penzias; Shivani Pahwa; Jay Gollamudi; Anant Madabhushi (Image Processing, 2016)

RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. - Jacob Antunes; Prateek Prasanna; Anant Madabhushi; Pallavi Tiwari; Satish Viswanath (MICCAI (2), 2017)

Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases. - Satish Viswanath; Pallavi Tiwari; George Lee 002; Anant Madabhushi (BMC Medical Imaging, 2017)

Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI. - Prathyush Chirra; Patrick Leo; Michael Yim; B. Nicolas Bloch; Ardeshir R. Rastinehad; Andrei S. Purysko; Mark Rosen; Anant Madabhushi; Satish Viswanath (Computer-Aided Diagnosis, 2018)

Automated segmentation and radiomic characterization of visceral fat on bowel MRIs for Crohn's disease. - Iulia Barbur; Jacob Kurowski; Kaustav Bera; Rajat Thawani; Jean-Paul Achkar; Claudio Fiocchi; Marsha Kay; Rishi Gupta; Satish Viswanath (Image-Guided Procedures, 2018)

Differentiating Cancerous and Non-cancerous Prostate Tissue Using Multi-scale Texture Analysis on MRI. - Charlems Álvarez Jimenez; Cristian Barrera; Nicolás Múnera; Satish E. Viswanath; Eduardo Romero 001 (EMBC, 2019)

STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI. - Jacob Antunes; Zhouping Wei; Charlems Álvarez Jimenez; Eduardo Romero 001; Marwa Ismail; Anant Madabhushi; Pallavi Tiwari; Satish E. Viswanath (MICCAI (4), 2019)

Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI. - Thomas DeSilvio; Jacob Antunes; Prathyush Chirra; Kaustav Bera; Jay Gollamudi; Raj M. Paspulati; Conor P. Delaney; Satish E. Viswanath (Image-Guided Procedures, 2019)

Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation. - Siddhartha Nanda; Jacob T. Antunes; Amrish Selvam; Kaustav Bera; Justin T. Brady; Jayakrishna Gollamudi; Kenneth Friedman; Joseph E. Willis; Conor P. Delaney; Raj M. Paspulati; Anant Madabhushi; Satish E. Viswanath (Image-Guided Procedures, 2019)

Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation. - Michael C. Yim; Zhouping Wei; Jacob Antunes; Neil K. R. Sehgal; Kaustav Bera; Justin T. Brady; Kenneth Friedman; Joseph E. Willis; Andrei S. Purysko; Raj M. Paspulati; Anant Madabhushi; Satish E. Viswanath (Image-Guided Procedures, 2019)

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. - Satish Viswanath; Prathyush Chirra; Michael Yim; Neil M. Rofsky; Andrei S. Purysko; Mark A. Rosen; B. Nicolas Bloch; Anant Madabhushi (BMC Medical Imaging, 2019)

Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers. - Amrish Selvam; Jacob Antunes; Kaustav Bera; Asya Ofshteyn; Justin T. Brady; Katherine Bingmer; Kenneth Friedman; Sharon L. Stein; Rajmohan Paspulati; Andrei S. Purysko; Matthew Kalady; Anant Madabhushi; et al. (Computer-Aided Diagnosis, 2020)

Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers. - Siddhartha Nanda; Jacob T. Antunes; Kaustav Bera; Justin T. Brady; Kenneth Friedman; Joseph E. Willis; Raj M. Paspulati; Satish E. Viswanath (Image-Guided Procedures, 2020)

MRQy: An Open-Source Tool for Quality Control of MR Imaging Data. - Amir Reza Sadri; Andrew Janowczyk; Ren Zou; Ruchika Verma; Jacob Antunes; Anant Madabhushi; Pallavi Tiwari; Satish E. Viswanath (CoRR, 2020)

Sparse Wavelet Networks. - Amir Reza Sadri; Mehmet Emre Celebi; Nazanin Rahnavard; Satish E. Viswanath (IEEE Signal Process. Lett., 2020)

SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach. - Amir Reza Sadri; Sepideh Azarianpour Esfahani; Prathyush Chirra; Jacob Antunes; Pavithran Pattiam Giriprakash; Patrick Leo; Anant Madabhushi; Satish E. Viswanath (MICCAI (3), 2021)

Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy. - Rajarajeswari Muthusivarajan; Adrian Celaya; Joshua P. Yung; Satish Viswanath; Daniel S. Marcus; Caroline Chung; David Fuentes 001 (CoRR, 2021)

Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI. - Amir Reza Sadri; Thomas DeSilvio; Prathyush Chirra; Andrei S. Purysko; Rajmohan Paspulati; Kenneth Friedman; Smitha S. Krishnamurthi; David Liska; Sharon L. Stein; Satish E. Viswanath (Computer-Aided Diagnosis, 2022)

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI. - Amir Reza Sadri; Thomas DeSilvio; Prathyush Chirra; Sneha Singh; Satish E. Viswanath (MICCAI (3), 2022)

Identifying radiomic features associated with disease activity, patient outcomes, and serum phenotypes in pediatric Crohn's disease via MRI. - Prathyush Chirra; Avani Muchhala; Katelin Amann; Kaajal Krishnan; Jacob Kurowski; Satish E. Viswanath (Image-Guided Procedures, 2022)

RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment. - Jacob T. Antunes; Marwa Ismail; Imran Hossain; Zhoumengdi Wang; Prateek Prasanna; Anant Madabhushi; Pallavi Tiwari; Satish E. Viswanath (IEEE J. Biomed. Health Informatics, 2022)

Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI. - Thomas DeSilvio; Leo Bao; Dhruv Seth; Prathyush Chirra; Sneha Singh; Atreya Sridharan; Murad Labbad; Katherine Bingmer; Diana Jodeh; Eric L. Marderstein; Rajmohan Paspulati; David Liska; et al. (Image-Guided Procedures, 2023)

CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. - Fan Fan; Georgia Martinez; Thomas DeSilvio; John Shin; Yijiang Chen; Bangchen Wang; Takaya Ozeki; Maxime W. Lafarge; Viktor H. Koelzer; Laura Barisoni; Anant Madabhushi; Satish E. Viswanath; et al. (CoRR, 2023)