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Andrew Janowczyk

Showing results (1-10 of 69) with videos related to

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Journal of Pathology Informatics|August 27, 2016
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use casesAndrew Janowczyk, Anant Madabhushi
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 5, 2016
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathologyAndrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
JCO Clinical Cancer Informatics|March 11, 2020
Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image AnalysisYijiang Chen, Andrew Janowczyk, Anant Madabhushi
Journal of Pathology Informatics|June 15, 2013
Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regionsAndrew Janowczyk, Sharat Chandran, Anant Madabhushi
The Lancet. Digital Health|December 17, 2020
Clinical deployment of AI for prostate cancer diagnosisAndrew Janowczyk, Patrick Leo, Mark A Rubin
Medical Image Analysis|May 17, 2011
A high-throughput active contour scheme for segmentation of histopathological imageryJun Xu, Andrew Janowczyk, Sharat Chandran, et al.
Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization|May 8, 2018
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology imagesAndrew Janowczyk, Scott Doyle, Hannah Gilmore, et al.
Journal of Clinical Pathology|December 21, 2019
Current opinion, status and future development of digital pathology in SwitzerlandJulia Unternaehrer, Rainer Grobholz, Andrew Janowczyk, et al.
The Lancet. Digital Health|June 15, 2026
Precision medicine's inevitable trajectory toward rare-disease-sized cohorts: implications for machine learning and deep learningAndrew Janowczyk, Doron Merkler, Olivier Michielin, et al.
Journal of Clinical Pathology|September 14, 2021
Update on the current opinion, status and future development of digital pathology in Switzerland in light of COVID-19Viktor Hendrik Koelzer, Rainer Grobholz, Inti Zlobec, et al.
Pageof 7

Showing results (1-10 of 69) with videos related to

Sort By:
Pageof 7
Journal of Pathology Informatics|August 27, 2016
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use casesAndrew Janowczyk, Anant Madabhushi
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 5, 2016
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathologyAndrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
JCO Clinical Cancer Informatics|March 11, 2020
Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image AnalysisYijiang Chen, Andrew Janowczyk, Anant Madabhushi
Journal of Pathology Informatics|June 15, 2013
Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regionsAndrew Janowczyk, Sharat Chandran, Anant Madabhushi
The Lancet. Digital Health|December 17, 2020
Clinical deployment of AI for prostate cancer diagnosisAndrew Janowczyk, Patrick Leo, Mark A Rubin
Medical Image Analysis|May 17, 2011
A high-throughput active contour scheme for segmentation of histopathological imageryJun Xu, Andrew Janowczyk, Sharat Chandran, et al.
Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization|May 8, 2018
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology imagesAndrew Janowczyk, Scott Doyle, Hannah Gilmore, et al.
Journal of Clinical Pathology|December 21, 2019
Current opinion, status and future development of digital pathology in SwitzerlandJulia Unternaehrer, Rainer Grobholz, Andrew Janowczyk, et al.
The Lancet. Digital Health|June 15, 2026
Precision medicine's inevitable trajectory toward rare-disease-sized cohorts: implications for machine learning and deep learningAndrew Janowczyk, Doron Merkler, Olivier Michielin, et al.
Journal of Clinical Pathology|September 14, 2021
Update on the current opinion, status and future development of digital pathology in Switzerland in light of COVID-19Viktor Hendrik Koelzer, Rainer Grobholz, Inti Zlobec, et al.
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