Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

by Andrew Janowczyk, Anant Madabhushi
Published 2016-01-01

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

by Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
Published 2013-01-01

Quick Annotator: an open‐source digital pathology based rapid image annotation tool

by Runtian Miao, Robert Toth, Yu Zhou, Anant Madabhushi, Andrew Janowczyk
Published 2021-11-01

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.

by Jeffrey J Nirschl, Andrew Janowczyk, Eliot G Peyster, Renee Frank, Kenneth B Margulies, Michael D Feldman, Anant Madabhushi
Published 2018-01-01

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

by Jon Whitney, German Corredor, Andrew Janowczyk, Shridar Ganesan, Scott Doyle, John Tomaszewski, Michael Feldman, Hannah Gilmore, Anant Madabhushi
Published 2018-05-01

Biogeography of microbial bile acid transformations along the murine gut

by Solenne Marion, Lyne Desharnais, Nicolas Studer, Yuan Dong, Matheus D. Notter, Suresh Poudel, Laure Menin, Andrew Janowczyk, Robert L. Hettich, Siegfried Hapfelmeier, Rizlan Bernier-Latmani
Published 2020-11-01

Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study

by Patrick Leo, Andrew Janowczyk, Robin Elliott, Nafiseh Janaki, Kaustav Bera, Rakesh Shiradkar, Xavier Farré, Pingfu Fu, Ayah El-Fahmawi, Mohammed Shahait, Jessica Kim, David Lee, Kosj Yamoah, Timothy R. Rebbeck, Francesca Khani, Brian D. Robinson, Lauri Eklund, Ivan Jambor, Harri Merisaari, Otto Ettala, Pekka Taimen, Hannu J. Aronen, Peter J. Boström, Ashutosh Tewari, Cristina Magi-Galluzzi, Eric Klein, Andrei Purysko, Natalie NC Shih, Michael Feldman, Sanjay Gupta, Priti Lal, Anant Madabhushi
Published 2021-05-01