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)

WERITAS: weighted ensemble of regional image textures for ASM segmentation. - Robert Toth; Scott Doyle; Mark Rosen; Arjun Kalyanpur; Sona Pungavkar; B. Nicolas Bloch; Elizabeth Genega; Neil Rofsky; Robert E. Lenkinski; Anant Madabhushi (Image Processing, 2009)

A structural-functional MRI-based disease atlas: application to computer-aided-diagnosis of prostate cancer. - Gaoyu Xiao; B. Nicolas Bloch; Jonathan Chappelow; Elizabeth Genega; Neil Rofsky; Robert E. Lenkinski; Anant Madabhushi (Image Processing, 2010)

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)

Integrating an adaptive region-based appearance model with a landmark-free statistical shape model: application to prostate MRI segmentation. - Robert Toth; Julie Bulman; Amish D. Patel; B. Nicolas Bloch; Elizabeth Genega; Neil Rofsky; Robert E. Lenkinski; Anant Madabhushi (Image Processing, 2011)

Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. - Gaoyu Xiao; B. Nicolas Bloch; Jonathan Chappelow; Elizabeth Genega; Neil Rofsky; Robert E. Lenkinski; John Tomaszewski 001; Michael D. Feldman; Mark Rosen; Anant Madabhushi (Comput. Medical Imaging Graph., 2011)

Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications. - Tao Wan 001; B. Nicolas Bloch; Shabbar Danish; Anant Madabhushi (ISBI, 2013)

Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI. - Shoshana B. Ginsburg; B. Nicolas Bloch; Neil M. Rofsky; Elizabeth M. Genega; Robert E. Lenkinski; Anant Madabhushi (Computer-Aided Diagnosis, 2013)

Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric. - Rachel Sparks; B. Nicolas Bloch; Ernest J. Feleppa; Dean C. Barratt; Anant Madabhushi (Image-Guided Procedures, 2013)

Statistical 3D prostate imaging atlas construction via anatomically constrained registration. - Mirabela Rusu; B. Nicolas Bloch; C. Carl Jaffe; Neil Rofsky; Elizabeth Genega; Ernest J. Feleppa; Robert E. Lenkinski; Anant Madabhushi (Image Processing, 2013)

A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations. - Tao Wan 001; B. Nicolas Bloch; Shabbar Danish; Anant Madabhushi (Image Processing, 2013)

Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation. - Mahdi Orooji; Rachel Sparks; B. Nicolas Bloch; Ernest J. Feleppa; Dean C. Barratt; Anant Madabhushi (Image Processing, 2014)

A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders. - Tao Wan 001; B. Nicolas Bloch; Shabbar Danish; Anant Madabhushi (Neurocomputing, 2014)

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)

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)