John Tomaszewski

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 5

Top Topics

Convolutional Neural Networks

Canonical Correlation Analysis

Automatic Detection

Top Venues

Medical Imaging: Digital Pathology

IEEE Trans. Medical Imaging

J. Biomed. Informatics

Publications

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
Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy. Medical Imaging: Digital Pathology (2021)
Samuel Border, Kuang-Yu Jen, Washington L. C. dos-Santos, John Tomaszewski, Pinaki Sarder
Probabilistic modelling of diabetic nephropathy progression. Medical Imaging: Digital Pathology (2020)
Snehal Ulhas Salunke, Tova Ablove, Theresa Danforth, John Tomaszewski, Scott Doyle
Data-driven sampling method for building 3D anatomical models from serial histology. Medical Imaging: Digital Pathology (2017)
Metin N. Gurcan, John Tomaszewski, James A. Overton, Scott Doyle, Alan Ruttenberg, Barry Smith
Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. J. Biomed. Informatics 66 (2017)
Scott Doyle, Margaret Brandwein-Gensler, John Tomaszewski
Quantification of tumor morphology via 3D histology: application to oral cavity cancers. Medical Imaging: Digital Pathology (2016)
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) (2015)
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)
Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. Medical Imaging: Digital Pathology (2014)
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)
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) (2013)
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)
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)
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) (2012)
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 (2012)
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)
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)
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)
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) (2011)
Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Natalie Shih, Anant Madabhushi
: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments. Comput. Medical Imaging Graph. 35 (7-8) (2011)
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)
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)
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 (2011)
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 (2011)
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) (2010)
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) (2010)
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)
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) (2010)
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)
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)
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)
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)
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)
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)
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)
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)
Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. CVAMIA (2006)