John E. Tomaszewski

发表

Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification

John R. Gilbertson, Anant Madabhushi, Jason Hipp, 2012, Analytical cellular pathology.

Automatic computational labeling of glomerular textural boundaries

John E. Tomaszewski, Brandon Ginley, Pinaki Sarder, 2017, Medical Imaging.

Computational analysis of the structural progression of human glomeruli in diabetic nephropathy

John E. Tomaszewski, Sanjay Jain, Pinaki Sarder, 2018, Medical Imaging.

Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant

John E. Tomaszewski, J. Tomaszewski, 2021 .

Digital Imaging Fundamentals

John E. Tomaszewski, Jason D. Hipp, Michael A. Tangrea, 2014 .

Supervised multi-view canonical correlation analysis: fused multimodal prediction of disease diagnosis and prognosis

George Lee, Anant Madabhushi, John E. Tomaszewski, 2014, Medical Imaging.

Neutrophil Extracellular Traps (NETs): an unexplored territory in renal pathobiology, a pilot computational study

John E. Tomaszewski, Sanjay Jain, Pinaki Sarder, 2020, Medical Imaging: Digital Pathology.

Deep variational auto-encoders for unsupervised glomerular classification

John E. Tomaszewski, Rabi Yacoub, Sanjay Jain, 2018, Medical Imaging.

Front Matter: Volume 10140

John E. Tomaszewski, Metin N. Gurcan, 2017, Medical Imaging: Digital Pathology.

Automated renal histopathology: digital extraction and quantification of renal pathology

John E. Tomaszewski, Brandon Ginley, Pinaki Sarder, 2016, SPIE Medical Imaging.

Generative modeling for renal microanatomy

John E. Tomaszewski, Brandon Ginley, Pinaki Sarder, 2020, Medical Imaging: Digital Pathology.

Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures

George Lee, Anant Madabhushi, Michael D. Feldman, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework

Dinggang Shen, Christos Davatzikos, John E. Tomaszewski, 2009, CVPR 2009.

The presence and location of podocytes in glomeruli as affected by diabetes mellitus

John E. Tomaszewski, Rabi Yacoub, Pinaki Sarder, 2020, Medical Imaging: Digital Pathology.

Machine Vision and Machine Learning in Digital Pathology

Anant Madabhushi, John E. Tomaszewski, Michael A. Tangrea, 2014 .

Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models

John E. Tomaszewski, Aurijoy Majumdar, Sanjay Jain, 2019, Medical Imaging.

High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies

Andrew Janowczyk, Anant Madabhushi, Michael D. Feldman, 2010, Prostate Cancer Imaging.

An integrated iterative annotation technique for easing neural network training in medical image analysis pdf

John E. Tomaszewski, Rabi Yacoub, Sanjay Jain, 2018, Nature Machine Intelligence.

Image microarrays (IMA): Digital pathology's missing tool

Anant Madabhushi, Jason Hipp, James Monaco, 2011, Journal of pathology informatics.

Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework

Anant Madabhushi, Michael D. Feldman, John E. Tomaszewski, 2014, Journal of pathology informatics.

XML annotations by MF and NS of WSIs from CINJ

Angel Cruz-Roa, Anant Madabhushi, Ajay Basavanhally, 2018 .

Examining structural changes in diabetic nephropathy using inter-nuclear distances in glomeruli: a comparison of variously automated methods

John E. Tomaszewski, Rabi Yacoub, Sanjay Jain, 2018, Medical Imaging.

Glomerular detection and segmentation from multimodal microscopy images using a Butterworth band-pass filter

John E. Tomaszewski, Brandon Ginley, Pinaki Sarder, 2018, Medical Imaging.

HistoCAD: Machine Facilitated Quantitative Histoimaging with Computer Assisted Diagnosis

John E. Tomaszewski, 2010, Prostate Cancer Imaging.

Probabilistic pairwise Markov models: application to prostate cancer detection

Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi, 2009, Medical Imaging.

A boosted distance metric: application to content based image retrieval and classification of digitized histopathology

Anant Madabhushi, Ajay Basavanhally, Michael D. Feldman, 2009, Medical Imaging.

An integrated iterative annotation technique for easing neural network training in medical image analysis

John E. Tomaszewski, Rabi Yacoub, Sanjay Jain, 2019, Nat. Mach. Intell..

Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathology

John E. Tomaszewski, Pinaki Sarder, Brendon Lutnick, 2017, Medical Imaging.

A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy

John E. Tomaszewski, Brandon Ginley, Pinaki Sarder, 2021, Medical Imaging.

The tumor suppressor TERE1 (UBIAD1) prenyltransferase regulates the elevated cholesterol phenotype in castration resistant prostate cancer by controlling a program of ligand dependent SXR target genes

John E. Tomaszewski, William J. Fredericks, J. Sepulveda, 2013, Oncotarget.

Digital Pathology

John E. Tomaszewski, John E. Tomaszewski, Metin N. Gurcan, 2020, Lecture Notes in Computer Science.

Detection of Prostate Cancer from Whole-Mount Histology Images Using Markov Random Fields

Purang Abolmaesumi, Parvin Mousavi, Anant Madabhushi, 2008 .

A Transient Vanadium(III) Neopentylidene Complex. Redox Chemistry and Reactivity of the V═CHtBu Functionality

John E. Tomaszewski, Hongjun Fan, Mu-Hyun Baik, 2009 .