John Tomaszewski

67 papers A 1B 3C 1Journal 15Unranked 45

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Computational integration of renal histology and urinary proteomics using neural networks. Digital and Computational Pathology Nicholas J. Lucarelli, Donghwan Yun, Dohyun Han, Brandon Ginley, Kyung Chul Moon, Avi Rosenberg, John Tomaszewski, Seung Seok Han, Pinaki Sarder
2021	—	`conf`	A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy. Digital Pathology Avinash Kammardi Shashiprakash, Brendon Lutnick, Brandon Ginley, Darshana Govind, Nicholas J. Lucarelli, Kuang-Yu Jen, Avi Z. Rosenberg, Anatoly Urisman, Vighnesh Walavalkar, Jonathan E. Zuckerman, Marco Delsante, Mei Lin Z. Bissonnette, John Tomaszewski, David Manthey, Pinaki Sarder
2021	—	`conf`	Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy. Digital Pathology Tatsat R. Patel, Mohammad Waqas, Sarah Fricano, Adam A. Dmytriw, John Tomaszewski, Elad I. Levy, Kenneth V. Snyder, Jason M. Davies, Adnan H. Siddiqui, Vincent M. Tutino
2020	—	`conf`	Generative modeling for renal microanatomy. Digital Pathology Leema Krishna Murali, Brendon Lutnick, Brandon Ginley, John Tomaszewski, Pinaki Sarder
2020	—	`conf`	Neutrophil Extracellular Traps (NETs): an unexplored territory in renal pathobiology, a pilot computational study. Digital Pathology Briana A. Santo, Brahm H. Segal, John Tomaszewski, Imtiaz Mohammad, Amber M. Worral, Sanjay Jain, Michelle B. Visser, Pinaki Sarder
2020	—	`conf`	Probabilistic modelling of diabetic nephropathy progression. Digital Pathology Samuel P. Border, Kuang-Yu Jen, Washington L. C. dos-Santos, John Tomaszewski, Pinaki Sarder
2020	—	`conf`	The presence and location of podocytes in glomeruli as affected by diabetes mellitus. Digital Pathology Kathryn E. Maraszek, Briana A. Santo, Rabi Yacoub, John Tomaszewski, Imtiaz Mohammad, Amber M. Worral, Pinaki Sarder
2019	J	`jnl`	An integrated iterative annotation technique for easing neural network training in medical image analysis. Nat. Mach. Intell. Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Kuang-Yu Jen, Pinaki Sarder
2019	—	`conf`	Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models. Digital Pathology Aurijoy Majumdar, Kuang-Yu Jen, Sanjay Jain, John Tomaszewski, Pinaki Sarder
2018	—	`conf`	Computational analysis of the structural progression of human glomeruli in diabetic nephropathy. Digital Pathology Brandon G. Ginley, John Tomaszewski, Kuang-Yu Jen, Agnes B. Fogo, Sanjay Jain, Pinaki Sarder
2018	—	`conf`	Deep variational auto-encoders for unsupervised glomerular classification. Digital Pathology Brendon Lutnick, Rabi Yacoub, Kuang-Yu Jen, John Tomaszewski, Sanjay Jain, Pinaki Sarder
2018	—	`conf`	Examining structural changes in diabetic nephropathy using inter-nuclear distances in glomeruli: a comparison of variously automated methods. Digital Pathology Olivier Simon, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Pinaki Sarder
2018	—	`conf`	Glomerular detection and segmentation from multimodal microscopy images using a Butterworth band-pass filter. Digital Pathology Darshana Govind, Brandon Ginley, Brendon Lutnick, John Tomaszewski, Pinaki Sarder
2018	J	`jnl`	Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis. CoRR Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Kuang-Yu Jen, Pinaki Sarder
2018	—	`ed.`	Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018 Digital Pathology John Tomaszewski, Metin N. Gurcan
2017	—	`conf`	Automatic computational labeling of glomerular textural boundaries. Digital Pathology Brandon Ginley, John Tomaszewski, Pinaki Sarder
2017	—	`conf`	Data-driven sampling method for building 3D anatomical models from serial histology. Digital Pathology Snehal Ulhas Salunke, Tova Ablove, Theresa Danforth, John Tomaszewski, Scott Doyle
2017	J	`jnl`	Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. J. Biomed. Informatics Metin N. Gurcan, John Tomaszewski, James A. Overton, Scott Doyle, Alan Ruttenberg, Barry Smith
2017	—	`conf`	Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathology. Digital Pathology Brendon Lutnick, John Tomaszewski, Pinaki Sarder
2017	—	`ed.`	Medical Imaging 2017: Digital Pathology, Orlando, Florida, United States, 11-16 February 2017 Digital Pathology Metin N. Gurcan, John Tomaszewski
2016	—	`conf`	Automated renal histopathology: digital extraction and quantification of renal pathology. Digital Pathology Pinaki Sarder, Brandon Ginley, John Tomaszewski
2016	—	`conf`	Quantification of tumor morphology via 3D histology: application to oral cavity cancers. Digital Pathology Scott Doyle, Margaret Brandwein-Gensler, John Tomaszewski
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`	Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. Digital Pathology Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi
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`	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	—	`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 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	—	`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
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`	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	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