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Michael D. Feldman
Person information
- affiliation: University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
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2020 – today
- 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Image-Guided Procedures 2014: 90361D - [c36]Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks
, Natalie Shih, John E. Tomaszeweski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
:
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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 E. 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. Medical Imaging: 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. Medical Imaging: 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 E. 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. Medical Imaging: 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 E. Tomaszewski, Anant Madabhushi
:
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Medical Imaging: 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 E. 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. Medical Imaging: 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. Medical Imaging: Computer-Aided Diagnosis 2008: 69150V - 2007
- [c10]Jonathan Chappelow, Anant Madabhushi
, Mark Rosen, John E. Tomaszeweski, 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 E. Tomaszeweski:
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 E. Tomaszeweski, Michael D. Feldman:
Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection. Medical Imaging: 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 E. 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 E. Tomaszeweski:
A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. MICCAI (2) 2006: 504-511 - [c3]Yiqiang Zhan, Michael D. Feldman, John E. Tomaszeweski, 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 E. Tomaszeweski, 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 E. Tomaszeweski, 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 E. Tomaszeweski:
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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