Michael D. Feldman

65 papers A 1B 4C 1Journal 18Unranked 40

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Biopsy and surgical specimen specific deep learning models for prostate cancer detection on digitized pathology images. Digital and Computational Pathology Brennan T. Flannery, Priti Lal, Michael D. Feldman, María Natalizio, Juan C. Santa-Rosario, Anant Madabhushi
2022	J	`jnl`	An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 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, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison X. Bai
2020	J	`jnl`	Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Comput. Methods Programs Biomed. Chaoyang Yan, Kazuaki Nakane, Xiangxue Wang, Yao Fu, Haoda Lu, Xiangshan Fan, Michael D. Feldman, Anant Madabhushi, Jun Xu
2019	—	`conf`	Towards Population-Based Histologic Stain Normalization of Glioblastoma. BrainLes@MICCAI (1) Caleb M. Grenko, Angela N. Viaene, MacLean P. Nasrallah, Michael D. Feldman, Hamed Akbari, Spyridon Bakas
2018	—	`conf`	Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation. IWBI Predrag R. Bakic, David D. Pokrajac, Michael D. Feldman, Andrew D. A. Maidment
2017	—	`ch.`	Deep Learning Tissue Segmentation in Cardiac Histopathology Images. Deep Learning for Medical Image Analysis Jeffrey J. Nirschl, Andrew Janowczyk, Eliot G. Peyster, Renee Frank, Kenneth B. Margulies, Michael D. Feldman, Anant Madabhushi
2017	—	`conf`	Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. MICCAI (2) Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi
2016	—	`conf`	Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis. Digital Pathology Brad M. Keller, Aimilia Gastounioti, Rebecca C. Batiste, Despina Kontos, Michael D. Feldman
2016	—	`conf`	Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap. Digital Mammography / IWDM Predrag R. Bakic, David D. Pokrajac, Rebecca Batiste, Michael D. Feldman, Andrew D. A. Maidment
2015	J	`jnl`	Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. IEEE Trans. Biomed. Eng. Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Elizabeth S. McDonald, Mark Rosen, Carolyn Mies, Michael D. Feldman, Despina Kontos
2015	J	`jnl`	Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. Comput. Medical Imaging Graph. Jun Xu, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael D. Feldman, Natalie N. C. Shih, Hannah Gilmore, Anant Madabhushi
2015	J	`jnl`	Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer. IEEE Trans. Medical Imaging George Lee, Asha Singanamalli, Haibo Wang, Michael D. Feldman, Stephen R. Master, Natalie N. C. Shih, Elaine Spangler, Timothy R. Rebbeck, John Tomaszewski, Anant Madabhushi
2014	—	`conf`	Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Digital Pathology Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi
2014	—	`conf`	Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation. Image-Guided Procedures Geert Litjens, Henkjan J. Huisman, R. Elliott, Natalie Shih, Michael D. Feldman, Satish Viswanath, Jurgen J. Fütterer, J. Bomers, Anant Madabhushi
2014	—	`conf`	Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI. Computer-Aided Diagnosis 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
2014	—	`conf`	Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. Computer-Aided Diagnosis Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Mark Rosen, Michael D. Feldman, Despina Kontos
2014	B	`conf`	Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. Image Processing Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks, Natalie Shih, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
2013	—	`conf`	Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer. ISBI George Lee, Rachel Sparks, Sahirzeeshan Ali, Anant Madabhushi, Michael D. Feldman, Stephen R. Master, Natalie Shih, John Tomaszewski
2013	—	`conf`	Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. MICCAI (2) Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos
2013	—	`conf`	Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. Digital Pathology Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
2013	J	`jnl`	Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. IEEE Trans. Biomed. Eng. Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Anant Madabhushi
2012	J	`jnl`	A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies. IEEE Trans. Biomed. Eng. Scott Doyle, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2012	J	`jnl`	Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. BMC Bioinform. Scott Doyle, Michael D. Feldman, Natalie Shih, John Tomaszewski, Anant Madabhushi
2012	J	`jnl`	High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts. IEEE Trans. Biomed. Eng. Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi
2012	—	`conf`	Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework. Computer-Aided Diagnosis Robert Toth, Jonathan Chappelow, Christoph Vetter, Oliver Kutter, Christoph Russ, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi
2011	—	`conf`	A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. MICCAI (3) Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos
2011	—	`conf`	A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. ISBI Ajay Basavanhally, Shridar Ganesan, Natalie Shih, Carolyn Mies, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011	J	`jnl`	An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. BMC Bioinform. Scott Doyle, James Monaco, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011	—	`conf`	Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology. ISBI Scott Doyle, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi
2011	—	`conf`	Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models. EMBC Elaine Yu, James P. Monaco, John Tomaszewski, Natalie Shih, Michael D. Feldman, Anant Madabhushi
2011	J	`jnl`	Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Comput. Medical Imaging Graph. Gaoyu Xiao, B. Nicolas Bloch, Jonathan Chappelow, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, John Tomaszewski, Michael D. Feldman, Mark Rosen, Anant Madabhushi
2011	J	`jnl`	HistoStitcher Comput. Medical Imaging Graph. Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Natalie Shih, Anant Madabhushi
2011	—	`conf`	Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. Computer-Aided Diagnosis Ajay Basavanhally, Elaine Yu, Jun Xu, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011	B	`conf`	Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs. Image Processing Andrew Janowczyk, Sharat Chandran, Michael D. Feldman, Anant Madabhushi
2011	—	`conf`	Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. EMBC Pratik Patel, Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Mark Rosen, Natalie Shih, Anant Madabhushi
2011	J	`jnl`	Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery. BMC Bioinform. Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John Tomaszewski, David W. Speicher, Anant Madabhushi
2011	—	`conf`	Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures. EMBC Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2010	—	`conf`	Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI. Image-Guided Procedures Jonathan Chappelow, Stefan Both, Satish Viswanath, Stephen Hahn, Michael D. Feldman, Mark Rosen, John Tomaszewski, Neha Vapiwala, Pratik Patel, Anant Madabhushi
2010	J	`jnl`	Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. Ajay Basavanhally, Shridar Ganesan, Shannon Agner, James Monaco, Michael D. Feldman, John Tomaszewski, Gyan Bhanot, Anant Madabhushi
2010	—	`conf`	Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. ISBI Scott Doyle, James Monaco, Anant Madabhushi, Stefan Lindholm, Patric Ljung, Lance Ladic, John Tomaszewski, Michael D. Feldman
2010	J	`jnl`	Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. Hussain Fatakdawala, Jun Xu, Ajay Basavanhally, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2010	—	`conf`	High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Prostate Cancer Imaging Jun Xu, Rachel Sparks, Andrew Janowczyk, John Tomaszewski, Michael D. Feldman, Anant Madabhushi
2010	J	`jnl`	High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Anal. James Monaco, John Tomaszewski, Michael D. Feldman, Ian S. Hagemann, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
2010	J	`jnl`	caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research. J. Am. Medical Informatics Assoc. Rebecca S. Crowley, Melissa Castine, Kevin J. Mitchell, Girish Chavan, Tara McSherry, Michael D. Feldman
2009	—	`conf`	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. ISBI George Lee, Scott Doyle, James Monaco, Michael D. Feldman, Stephen R. Master, John Tomaszewski, Anant Madabhushi
2009	—	`conf`	A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Computer-Aided Diagnosis Jay Naik, Scott Doyle, Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2009	C	`conf`	Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. BIBE Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2009	—	`conf`	Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. MICCAI (1) Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi
2009	—	`conf`	Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework. CVPR Workshops Yangming Ou, Dinggang Shen, Michael D. Feldman, John Tomaszewski, Christos Davatzikos
2009	B	`conf`	Probabilistic pairwise Markov models: application to prostate cancer detection. Image Processing James Monaco, John Tomaszewski, Michael D. Feldman, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
2009	—	`conf`	Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. ISBI Shannon Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell D. Schnall, Michael D. Feldman, John Tomaszewski
2008	—	`conf`	Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. ISBI Shivang Naik, Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2008	—	`conf`	Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features. ISBI Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2008	—	`conf`	Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer. Computer-Aided Diagnosis Jonathan Chappelow, Satish Viswanath, James Monaco, Mark Rosen, John Tomaszewski, Michael D. Feldman, Anant Madabhushi
2007	—	`conf`	A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration. ISBI Jonathan Chappelow, Anant Madabhushi, Mark Rosen, John Tomaszewski, Michael D. Feldman
2007	—	`conf`	Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. ISBI Scott Doyle, Mark I. Hwang, Kinsuk Shah, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2007	—	`conf`	High Throughput Analysis of Breast Cancer Specimens on the Grid. MICCAI (1) Lin Yang, Wenjin Chen, Peter Meer, Gratian Salaru, Michael D. Feldman, David J. Foran
2007	B	`conf`	Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection. Image Processing Jonathan Chappelow, Anant Madabhushi, Mark Rosen, John Tomaszewski, Michael D. Feldman
2006	—	`conf`	A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. MICCAI (2) Scott Doyle, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2006	—	`conf`	Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. CVAMIA Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski
2006	—	`conf`	Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach. EMBC Scott Doyle, Carlos Rodriguez, Anant Madabhushi, John Tomaszewski, Michael D. Feldman
2006	—	`conf`	Registering Histological and MR Images of Prostate for Image-Based Cancer Detection. MICCAI (2) Yiqiang Zhan, Michael D. Feldman, John Tomaszewski, Christos Davatzikos, Dinggang Shen
2005	J	`jnl`	Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. IEEE Trans. Medical Imaging Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, John Tomaszewski, Deborah Chute
2005	A	`conf`	Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer. MICCAI Anant Madabhushi, Jianbo Shi, Mark Rosen, John Tomaszewski, Michael D. Feldman
2003	—	`conf`	A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI. MICCAI (1) Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, Deborah Chute, John Tomaszewski