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ORCIDMichael D. Feldman
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- affiliation: University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
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2020 – today
- 2023
[c46]Brennan T. Flannery, Priti Lal, Michael D. Feldman, María Natalizio, Juan C. Santa-Rosario, Anant Madabhushi:
Biopsy and surgical specimen specific deep learning models for prostate cancer detection on digitized pathology images. Digital and Computational Pathology 2023- 2022
- [j18]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 Bai:
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022) - 2020
- [j17]Chaoyang Yan, Kazuaki Nakane, Xiangxue Wang, Yao Fu, Haoda Lu, Xiangshan Fan, Michael D. Feldman, Anant Madabhushi, Jun Xu:
Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Comput. Methods Programs Biomed. 194: 105528 (2020)
2010 – 2019
- 2019
- [c45]Caleb M. Grenko, Angela N. Viaene, MacLean P. Nasrallah, Michael D. Feldman, Hamed Akbari, Spyridon Bakas:
Towards Population-Based Histologic Stain Normalization of Glioblastoma. BrainLes@MICCAI (1) 2019: 44-56 - 2018
- [c44]Predrag R. Bakic, David D. Pokrajac, Michael D. Feldman, Andrew D. A. Maidment:
Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation. IWBI 2018: 107180F - 2017
- [c43]Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi:
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. MICCAI (2) 2017: 442-449 - [p1]Jeffrey J. Nirschl, Andrew Janowczyk, Eliot G. Peyster, Renee Frank, Kenneth B. Margulies, Michael D. Feldman, Anant Madabhushi:
Deep Learning Tissue Segmentation in Cardiac Histopathology Images. Deep Learning for Medical Image Analysis 2017: 179-195 - 2016
- [c42]Predrag R. Bakic, David D. Pokrajac, Rebecca Batiste, Michael D. Feldman, Andrew D. A. Maidment:
Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap. Digital Mammography / IWDM 2016: 478-485 - [c41]Brad M. Keller, Aimilia Gastounioti, Rebecca C. Batiste, Despina Kontos, Michael D. Feldman:
Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis. Digital Pathology 2016: 97910A - 2015
- [j16]Jun Xu, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael D. Feldman, Natalie N. C. Shih, Hannah Gilmore, Anant Madabhushi:
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. Comput. Medical Imaging Graph. 46: 20-29 (2015) - [j15]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Elizabeth S. McDonald, Mark Rosen, Carolyn Mies, Michael D. Feldman, Despina Kontos:
Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. IEEE Trans. Biomed. Eng. 62(6): 1585-1594 (2015) - [j14]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:
Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer. IEEE Trans. Medical Imaging 34(1): 284-297 (2015) - 2014
- [c40]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Mark Rosen, Michael D. Feldman, Despina Kontos:
Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. Computer-Aided Diagnosis 2014: 90350X - [c39]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:
Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI. Computer-Aided Diagnosis 2014: 903512 - [c38]Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi:
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Digital Pathology 2014: 904103 - [c37]Geert Litjens, Henkjan J. Huisman, R. Elliott, Natalie Shih, Michael D. Feldman, Satish Viswanath, Jurgen J. Fütterer, J. Bomers, Anant Madabhushi:
Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation. Image-Guided Procedures 2014: 90361D - [c36]Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks, Natalie Shih, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi:
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. Image Processing 2014: 90343P - 2013
- [j13]Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Anant Madabhushi:
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. IEEE Trans. Biomed. Eng. 60(8): 2089-2099 (2013) - [c35]George Lee, Rachel Sparks, Sahirzeeshan Ali, Anant Madabhushi, Michael D. Feldman, Stephen R. Master, Natalie Shih, John Tomaszewski:
Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer. ISBI 2013: 113-116 - [c34]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos:
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. MICCAI (2) 2013: 295-302 - [c33]Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi:
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. Digital Pathology 2013: 867604 - 2012
- [j12]Scott Doyle, Michael D. Feldman, Natalie Shih, John Tomaszewski, Anant Madabhushi:
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. BMC Bioinform. 13: 282 (2012) - [j11]Scott Doyle, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies. IEEE Trans. Biomed. Eng. 59(5): 1205-1218 (2012) - [j10]Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi:
High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts. IEEE Trans. Biomed. Eng. 59(5): 1240-1252 (2012) - [c32]Robert Toth, Jonathan Chappelow, Christoph Vetter, Oliver Kutter, Christoph Russ, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi:
Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework. Computer-Aided Diagnosis 2012: 83151K - 2011
- [j9]Scott Doyle, James Monaco, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. BMC Bioinform. 12: 424 (2011) - [j8]Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John Tomaszewski, David W. Speicher, Anant Madabhushi:
Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery. BMC Bioinform. 12: 483 (2011) - [j7]Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Natalie Shih, Anant Madabhushi:
HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments. Comput. Medical Imaging Graph. 35(7-8): 557-567 (2011) - [j6]Gaoyu Xiao, B. Nicolas Bloch, Jonathan Chappelow, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, John Tomaszewski, Michael D. Feldman, Mark Rosen, Anant Madabhushi:
Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Comput. Medical Imaging Graph. 35(7-8): 568-578 (2011) - [c31]Elaine Yu, James P. Monaco, John Tomaszewski, Natalie Shih, Michael D. Feldman, Anant Madabhushi:
Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models. EMBC 2011: 3427-3430 - [c30]Pratik Patel, Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Mark Rosen, Natalie Shih, Anant Madabhushi:
Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. EMBC 2011: 6269-6272 - [c29]Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures. EMBC 2011: 6434-6437 - [c28]Ajay Basavanhally, Shridar Ganesan, Natalie Shih, Carolyn Mies, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. ISBI 2011: 125-128 - [c27]Scott Doyle, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi:
Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology. ISBI 2011: 715-718 - [c26]Ajay Basavanhally, Elaine Yu, Jun Xu, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. Computer-Aided Diagnosis 2011: 796310 - [c25]Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos:
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. MICCAI (3) 2011: 546-553 - [c24]Andrew Janowczyk, Sharat Chandran, Michael D. Feldman, Anant Madabhushi:
Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs. Image Processing 2011: 79622N - 2010
- [j5]Rebecca S. Crowley, Melissa Castine, Kevin J. Mitchell, Girish Chavan, Tara McSherry, Michael D. Feldman:
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. 17(3): 253-264 (2010) - [j4]James Monaco, John Tomaszewski, Michael D. Feldman, Ian S. Hagemann, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi:
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Anal. 14(4): 617-629 (2010) - [j3]Ajay Basavanhally, Shridar Ganesan, Shannon Agner, James Monaco, Michael D. Feldman, John Tomaszewski, Gyan Bhanot, Anant Madabhushi:
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. 57(3): 642-653 (2010) - [j2]Hussain Fatakdawala, Jun Xu, Ajay Basavanhally, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. 57(7): 1676-1689 (2010) - [c23]Scott Doyle, James Monaco, Anant Madabhushi, Stefan Lindholm, Patric Ljung, Lance Ladic, John Tomaszewski, Michael D. Feldman:
Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. ISBI 2010: 1313-1316 - [c22]Jun Xu, Rachel Sparks, Andrew Janowczyk, John Tomaszewski, Michael D. Feldman, Anant Madabhushi:
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Prostate Cancer Imaging 2010: 77-88 - [c21]Jonathan Chappelow, Stefan Both, Satish Viswanath, Stephen Hahn, Michael D. Feldman, Mark Rosen, John Tomaszewski, Neha Vapiwala, Pratik Patel, Anant Madabhushi:
Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI. Image-Guided Procedures 2010: 76252C
2000 – 2009
- 2009
- [c20]Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. BIBE 2009: 69-76 - [c19]Yangming Ou, Dinggang Shen, Michael D. Feldman, John Tomaszewski, Christos Davatzikos:
Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework. CVPR Workshops 2009: 125-132 - [c18]George Lee, Scott Doyle, James Monaco, Michael D. Feldman, Stephen R. Master, John Tomaszewski, Anant Madabhushi:
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 2009: 77-80 - [c17]Shannon Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell D. Schnall, Michael D. Feldman, John Tomaszewski:
Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. ISBI 2009: 1227-1230 - [c16]Jay Naik, Scott Doyle, Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Computer-Aided Diagnosis 2009: 72603F - [c15]Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi:
Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. MICCAI (1) 2009: 230-238 - [c14]James Monaco, John Tomaszewski, Michael D. Feldman, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi:
Probabilistic pairwise Markov models: application to prostate cancer detection. Image Processing 2009: 725903 - 2008
- [c13]Shivang Naik, Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski:
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. ISBI 2008: 284-287 - [c12]Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski:
Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features. ISBI 2008: 496-499 - [c11]Jonathan Chappelow, Satish Viswanath, James Monaco, Mark Rosen, John Tomaszewski, Michael D. Feldman, Anant Madabhushi:
Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer. Computer-Aided Diagnosis 2008: 69150V - 2007
- [c10]Jonathan Chappelow, Anant Madabhushi, Mark Rosen, John Tomaszewski, Michael D. Feldman:
A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration. ISBI 2007: 644-647 - [c9]Scott Doyle, Mark I. Hwang, Kinsuk Shah, Anant Madabhushi, Michael D. Feldman, John Tomaszewski:
Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. ISBI 2007: 1284-1287 - [c8]Lin Yang, Wenjin Chen, Peter Meer, Gratian Salaru, Michael D. Feldman, David J. Foran:
High Throughput Analysis of Breast Cancer Specimens on the Grid. MICCAI (1) 2007: 617-625 - [c7]Jonathan Chappelow, Anant Madabhushi, Mark Rosen, John Tomaszewski, Michael D. Feldman:
Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection. Image Processing 2007: 65121S - 2006
- [c6]Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski:
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. CVAMIA 2006: 25-36 - [c5]Scott Doyle, Carlos Rodriguez, Anant Madabhushi, John Tomaszewski, Michael D. Feldman:
Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach. EMBC 2006: 4759-4762 - [c4]Scott Doyle, Anant Madabhushi, Michael D. Feldman, John Tomaszewski:
A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. MICCAI (2) 2006: 504-511 - [c3]Yiqiang Zhan, Michael D. Feldman, John Tomaszewski, Christos Davatzikos, Dinggang Shen:
Registering Histological and MR Images of Prostate for Image-Based Cancer Detection. MICCAI (2) 2006: 620-628 - 2005
- [j1]Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, John Tomaszewski, Deborah Chute:
Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. IEEE Trans. Medical Imaging 24(12): 1611-1625 (2005) - [c2]Anant Madabhushi, Jianbo Shi, Mark Rosen, John Tomaszewski, Michael D. Feldman:
Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer. MICCAI 2005: 729-737 - 2003
- [c1]Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, Deborah Chute, John Tomaszewski:
A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI. MICCAI (1) 2003: 581-591
Coauthor Index
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