A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI. - Anant Madabhushi; Michael D. Feldman; Dimitris N. Metaxas; Deborah Chute; John Tomaszewski 001 (MICCAI (1), 2003)

Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer. - Anant Madabhushi; Jianbo Shi; Mark Rosen; John Tomaszewski 001; Michael D. Feldman (MICCAI, 2005)

Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. - Anant Madabhushi; Michael D. Feldman; Dimitris N. Metaxas; John Tomaszewski 001; Deborah Chute (IEEE Trans. Medical Imaging, 2005)

Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. - Anant Madabhushi; Jianbo Shi; Michael D. Feldman; Mark Rosen; John Tomaszewski 001 (CVAMIA, 2006)

Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach. - Scott Doyle; Carlos Rodriguez; Anant Madabhushi; John Tomaszewski 001; Michael D. Feldman (EMBC, 2006)

A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. - Scott Doyle; Anant Madabhushi; Michael D. Feldman; John Tomaszewski 001 (MICCAI (2), 2006)

Registering Histological and MR Images of Prostate for Image-Based Cancer Detection. - Yiqiang Zhan; Michael D. Feldman; John Tomaszewski 001; Christos Davatzikos; Dinggang Shen (MICCAI (2), 2006)

A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration. - Jonathan Chappelow; Anant Madabhushi; Mark Rosen; John Tomaszewski 001; Michael D. Feldman (ISBI, 2007)

Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. - Scott Doyle; Mark I. Hwang; Kinsuk Shah; Anant Madabhushi; Michael D. Feldman; John Tomaszewski 001 (ISBI, 2007)

High Throughput Analysis of Breast Cancer Specimens on the Grid. - Lin Yang 002; Wenjin Chen; Peter Meer; Gratian Salaru; Michael D. Feldman; David J. Foran (MICCAI (1), 2007)

Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection. - Jonathan Chappelow; Anant Madabhushi; Mark Rosen; John Tomaszewski 001; Michael D. Feldman (Image Processing, 2007)

Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features. - Scott Doyle; Shannon Agner; Anant Madabhushi; Michael D. Feldman; John Tomaszewski 001 (ISBI, 2008)

Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. - Shivang Naik; Scott Doyle; Shannon Agner; Anant Madabhushi; Michael D. Feldman; John Tomaszewski 001 (ISBI, 2008)

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)

Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework. - Yangming Ou; Dinggang Shen; Michael D. Feldman; John Tomaszewski 001; Christos Davatzikos (CVPR Workshops, 2009)

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. - Shannon Agner; Jun Xu 005; Hussain Fatakdawala; Shridar Ganesan; Anant Madabhushi; Sarah Englander; Mark Rosen; Kathleen Thomas; Mitchell D. Schnall; Michael D. Feldman; John Tomaszewski 001 (ISBI, 2009)

A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology. - George Lee 002; Scott Doyle; James Monaco; Michael D. Feldman; Stephen R. Master; John Tomaszewski 001; Anant Madabhushi (ISBI, 2009)

A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. - Jay Naik; Scott Doyle; Ajay Basavanhally; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (Computer-Aided Diagnosis, 2009)

Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. - Andrew Janowczyk; Sharat Chandran; Rajendra Singh; Dimitra Sasaroli; George Coukos; Michael D. Feldman; Anant Madabhushi (MICCAI (1), 2009)

Probabilistic pairwise Markov models: application to prostate cancer detection. - James Monaco; John Tomaszewski 001; Michael D. Feldman; Mehdi Moradi; Parvin Mousavi; Alexander Boag; Chris Davidson; Purang Abolmaesumi; Anant Madabhushi (Image Processing, 2009)

Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. - Scott Doyle; James Monaco; Anant Madabhushi; Stefan Lindholm; Patric Ljung; Lance Ladic; John Tomaszewski 001; Michael D. Feldman (ISBI, 2010)

High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. - Jun Xu 005; Rachel Sparks; Andrew Janowczyk; John Tomaszewski 001; Michael D. Feldman; Anant Madabhushi (Prostate Cancer Imaging, 2010)

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)

caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research. - Rebecca S. Crowley; Melissa Castine; Kevin J. Mitchell; Girish Chavan; Tara McSherry; Michael D. Feldman (J. Am. Medical Informatics Assoc., 2010)

High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. - James Monaco; John Tomaszewski 001; Michael D. Feldman; Ian S. Hagemann; Mehdi Moradi; Parvin Mousavi; Alexander Boag; Chris Davidson; Purang Abolmaesumi; Anant Madabhushi (Medical Image Anal., 2010)

Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. - Ajay Basavanhally; Shridar Ganesan; Shannon Agner; James Monaco; Michael D. Feldman; John Tomaszewski 001; Gyan Bhanot; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2010)

Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. - Hussain Fatakdawala; Jun Xu 005; Ajay Basavanhally; Gyan Bhanot; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2010)

Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures. - Abhishek Golugula; George Lee 002; Stephen R. Master; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (EMBC, 2011)

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. - Pratik Patel; Jonathan Chappelow; John Tomaszewski 001; Michael D. Feldman; Mark Rosen; Natalie Shih; Anant Madabhushi (EMBC, 2011)

Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models. - Elaine Yu; James P. Monaco; John Tomaszewski 001; Natalie Shih; Michael D. Feldman; Anant Madabhushi (EMBC, 2011)

A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. - Ajay Basavanhally; Shridar Ganesan; Natalie Shih; Carolyn Mies; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (ISBI, 2011)

Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology. - Scott Doyle; Michael D. Feldman; John Tomaszewski 001; Natalie Shih; Anant Madabhushi (ISBI, 2011)

Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. - Ajay Basavanhally; Elaine Yu; Jun Xu 005; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (Computer-Aided Diagnosis, 2011)

A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. - Ahmed Bilal Ashraf; Sara Gavenonis; Dania Daye; Carolyn Mies; Michael D. Feldman; Mark Rosen; Despina Kontos (MICCAI (3), 2011)

Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs. - Andrew Janowczyk; Sharat Chandran; Michael D. Feldman; Anant Madabhushi (Image Processing, 2011)

An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. - Scott Doyle; James Monaco; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (BMC Bioinform., 2011)

Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery. - Abhishek Golugula; George Lee 002; Stephen R. Master; Michael D. Feldman; John Tomaszewski 001; David W. Speicher; Anant Madabhushi (BMC Bioinform., 2011)

HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments. - Jonathan Chappelow; John Tomaszewski 001; Michael D. Feldman; Natalie Shih; Anant Madabhushi (Comput. Medical Imaging Graph., 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)

Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework. - Robert Toth; Jonathan Chappelow; Christoph Vetter; Oliver Kutter; Christoph Russ; Michael D. Feldman; John Tomaszewski 001; Natalie Shih; Anant Madabhushi (Computer-Aided Diagnosis, 2012)

Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. - Scott Doyle; Michael D. Feldman; Natalie Shih; John Tomaszewski 001; Anant Madabhushi (BMC Bioinform., 2012)

A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies. - Scott Doyle; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2012)

High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts. - Andrew Janowczyk; Sharat Chandran; Rajendra Singh; Dimitra Sasaroli; George Coukos; Michael D. Feldman; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2012)

Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer. - George Lee 002; Rachel Sparks; Sahirzeeshan Ali; Anant Madabhushi; Michael D. Feldman; Stephen R. Master; Natalie Shih; John Tomaszewski 001 (ISBI, 2013)

Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Carolyn Mies; Michael D. Feldman; Mark Rosen; Despina Kontos (MICCAI (2), 2013)

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. - Asha Singanamalli; Rachel Sparks; Mirabela Rusu; Natalie Shih; Amy Ziober; John Tomaszewski 001; Mark Rosen; Michael D. Feldman; Anant Madabhushi (Digital Pathology, 2013)

Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. - Ajay Basavanhally; Shridar Ganesan; Michael D. Feldman; Natalie Shih; Carolyn Mies; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2013)

Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI. - Geert J. S. Litjens; R. Elliott; Natalie Shih; Michael D. Feldman; Jelle O. Barentsz; Christina A. Hulsbergen van de Kaa; Iringo Kovacs; Henkjan J. Huisman; Anant Madabhushi (Computer-Aided Diagnosis, 2014)

Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Carolyn Mies; Mark Rosen; Michael D. Feldman; Despina Kontos (Computer-Aided Diagnosis, 2014)

Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. - Angel Cruz-Roa; Ajay Basavanhally; Fabio A. González 001; Hannah Gilmore; Michael D. Feldman; Shridar Ganesan; Natalie Shih; John Tomaszewski 001; Anant Madabhushi (Digital Pathology, 2014)

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)

Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. - Eileen Hwuang; Mirabela Rusu; Sudha Karthigeyan; Shannon Agner; Rachel Sparks; Natalie Shih; John Tomaszewski 001; Mark Rosen; Michael D. Feldman; Anant Madabhushi (Image Processing, 2014)

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. - Jun Xu 005; Lei Xiang; Guanhao Wang; Shridar Ganesan; Michael D. Feldman; Natalie N. C. Shih; Hannah Gilmore; Anant Madabhushi (Comput. Medical Imaging Graph., 2015)

Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Elizabeth S. McDonald; Mark Rosen; Carolyn Mies; Michael D. Feldman; Despina Kontos (IEEE Trans. Biomed. Eng., 2015)

Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer. - George Lee 002; Asha Singanamalli; Haibo Wang; Michael D. Feldman; Stephen R. Master; Natalie N. C. Shih; Elaine Spangler; Timothy R. Rebbeck; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Medical Imaging, 2015)

Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap. - Predrag R. Bakic; David D. Pokrajac; Rebecca Batiste; Michael D. Feldman; Andrew D. A. Maidment (Digital Mammography / IWDM, 2016)

Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis. - Brad M. Keller; Aimilia Gastounioti; Rebecca C. Batiste; Despina Kontos; Michael D. Feldman (Digital Pathology, 2016)

Deep Learning Tissue Segmentation in Cardiac Histopathology Images. - Jeffrey J. Nirschl; Andrew Janowczyk; Eliot G. Peyster; Renee Frank; Kenneth B. Margulies; Michael D. Feldman; Anant Madabhushi (Deep Learning for Medical Image Analysis, 2017)

Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. - Soumya Ghose; Rakesh Shiradkar; Mirabela Rusu; Jhimli Mitra; Rajat Thawani; Michael D. Feldman; Amar Gupta; Andrei S. Purysko; Lee Ponsky; Anant Madabhushi (MICCAI (2), 2017)

Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation. - Predrag R. Bakic; David D. Pokrajac; Michael D. Feldman; Andrew D. A. Maidment (IWBI, 2018)

Towards Population-Based Histologic Stain Normalization of Glioblastoma. - Caleb M. Grenko; Angela N. Viaene; MacLean P. Nasrallah; Michael D. Feldman; Hamed Akbari; Spyridon Bakas (BrainLes@MICCAI (1), 2019)

Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. - Chaoyang Yan; Kazuaki Nakane; Xiangxue Wang; Yao Fu; Haoda Lu; Xiangshan Fan; Michael D. Feldman; Anant Madabhushi; Jun Xu 005 (Comput. Methods Programs Biomed., 2020)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Chris K. Kim; Ji Whae Choi; Zhicheng Jiao; Dongcui Wang; Jing Wu; Thomas Y. Yi; Kasey C. Halsey; Feyisope Eweje; Thi My Linh Tran; Chang Liu 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

Biopsy and surgical specimen specific deep learning models for prostate cancer detection on digitized pathology images. - Brennan T. Flannery; Priti Lal; Michael D. Feldman; María Natalizio; Juan C. Santa-Rosario; Anant Madabhushi (Digital and Computational Pathology, 2023)