John E. Tomaszewski

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 14

Top Topics

Graphical Models

Diabetes Mellitus

Unsupervised Methods

Neural Network Training

Top Venues

Medical Imaging: Digital Pathology

Nat. Mach. Intell.

Publications

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 E. Tomaszewski, David Manthey, Pinaki Sarder
A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy. Medical Imaging: Digital Pathology (2021)
Kathryn E. Maraszek, Briana A. Santo, Rabi Yacoub, John E. Tomaszewski, Imtiaz Mohammad, Amber M. Worral, Pinaki Sarder
The presence and location of podocytes in glomeruli as affected by diabetes mellitus. Medical Imaging: Digital Pathology (2020)
Leema Krishna Murali, Brendon Lutnick, Brandon Ginley, John E. Tomaszewski, Pinaki Sarder
Generative modeling for renal microanatomy. Medical Imaging: Digital Pathology (2020)
Briana A. Santo, Brahm H. Segal, John E. Tomaszewski, Imtiaz Mohammad, Amber M. Worral, Sanjay Jain, Michelle B. Visser, Pinaki Sarder
Neutrophil Extracellular Traps (NETs): an unexplored territory in renal pathobiology, a pilot computational study. Medical Imaging: Digital Pathology (2020)
Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John E. Tomaszewski, Kuang-Yu Jen, Pinaki Sarder
An integrated iterative annotation technique for easing neural network training in medical image analysis. Nat. Mach. Intell. 1 (2) (2019)
Aurijoy Majumdar, Kuang-Yu Jen, Sanjay Jain, John E. Tomaszewski, Pinaki Sarder
Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models. Medical Imaging: Digital Pathology (2019)
Brandon G. Ginley, John E. Tomaszewski, Kuang-Yu Jen, Agnes B. Fogo, Sanjay Jain, Pinaki Sarder
Computational analysis of the structural progression of human glomeruli in diabetic nephropathy. Medical Imaging: Digital Pathology (2018)
Brendon Lutnick, Rabi Yacoub, Kuang-Yu Jen, John E. Tomaszewski, Sanjay Jain, Pinaki Sarder
Deep variational auto-encoders for unsupervised glomerular classification. Medical Imaging: Digital Pathology (2018)
Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John E. Tomaszewski, Kuang-Yu Jen, Pinaki Sarder
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis. CoRR (2018)
Olivier Simon, Rabi Yacoub, Sanjay Jain, John E. Tomaszewski, Pinaki Sarder
Examining structural changes in diabetic nephropathy using inter-nuclear distances in glomeruli: a comparison of variously automated methods. Medical Imaging: Digital Pathology (2018)
Darshana Govind, Brandon Ginley, Brendon Lutnick, John E. Tomaszewski, Pinaki Sarder
Glomerular detection and segmentation from multimodal microscopy images using a Butterworth band-pass filter. Medical Imaging: Digital Pathology (2018)
Brendon Lutnick, John E. Tomaszewski, Pinaki Sarder
Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathology. Medical Imaging: Digital Pathology (2017)
Brandon Ginley, John E. Tomaszewski, Pinaki Sarder
Automatic computational labeling of glomerular textural boundaries. Medical Imaging: Digital Pathology (2017)
Pinaki Sarder, Brandon Ginley, John E. Tomaszewski
Automated renal histopathology: digital extraction and quantification of renal pathology. Medical Imaging: Digital Pathology (2016)
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)
John E. Tomaszewski
HistoCAD: Machine Facilitated Quantitative Histoimaging with Computer Assisted Diagnosis. Prostate Cancer Imaging (2010)
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)
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)
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)
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)