Michael D. Feldman

Affiliations:
  • University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA


According to our database1, Michael D. Feldman authored at least 63 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
npj Digit. Medicine, 2022

2020
Automated gleason grading on prostate biopsy slides by statistical representations of homology profile.
Comput. Methods Programs Biomed., 2020

2019
Towards Population-Based Histologic Stain Normalization of Glioblastoma.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Learning Tissue Segmentation in Cardiac Histopathology Images.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap.
Proceedings of the Breast Imaging, 2016

2015
Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer.
IEEE Trans. Medical Imaging, 2015

Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk.
IEEE Trans. Biomed. Eng., 2015

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.
Comput. Medical Imaging Graph., 2015

2014
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides.
IEEE Trans. Biomed. Eng., 2013

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013

Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts.
IEEE Trans. Biomed. Eng., 2012

A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies.
IEEE Trans. Biomed. Eng., 2012

Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.
BMC Bioinform., 2012

Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011
Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.
Comput. Medical Imaging Graph., 2011

HistoStitcher<sup>©</sup>: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.
Comput. Medical Imaging Graph., 2011

Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.
BMC Bioinform., 2011

An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation.
BMC Bioinform., 2011

Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010

Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010

High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
Medical Image Anal., 2010

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., 2010

Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI.
Proceedings of the Medical Imaging 2010: Visualization, 2010

High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010

Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Probabilistic pairwise Markov models: application to prostate cancer detection.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

A boosted distance metric: application to content based image retrieval and classification of digitized histopathology.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 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.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008
Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

High Throughput Analysis of Breast Cancer Specimens on the Grid.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Automated Grading of Prostate Cancer Using Architectural and Textural Image Features.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Registering Histological and MR Images of Prostate for Image-Based Cancer Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI.
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

2005
Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
IEEE Trans. Medical Imaging, 2005

Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2003
A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003


  Loading...