Hans – Public Notes

Hi! Welcome to my small website. This is a collection of short public notes to hopefully help others. I'm currently a Machine Learning Scientist working on deep learning in medical imaging. You can reach me at mail@hanspinckaers.com.

Selection of academic works


Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
Hans Pinckaers, Bram van Ginneken, Geert Litjens
IEEE Transactions on Pattern Analysis and Machine Intelligence


Predicting biochemical recurrence of prostate cancer with artificial intelligence
Hans Pinckaers, Jolique van Ipenburg, Jonathan Melamed, Angelo De Marzo, Elizabeth A. Platz, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
Communications Medicine


Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study30739-9/fulltext)
Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina Hulsbergen-van de Kaa, Geert Litjens
The Lancet Oncology 21 (2), 233-241, 426, 2020


Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, Peter Ström, Hans Pinckaers shared second, Kunal Nagpal, Yuannan Cai, David F Steiner, Hester van Boven, Robert Vink, Christina Hulsbergen-van de Kaa, Jeroen van der Laak, Mahul B Amin, Andrew J Evans, Theodorus van der Kwast, Robert Allan, Peter A Humphrey, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Tomi Häkkinen, Lars Egevad, Maggie Demkin, Sohier Dane, Fraser Tan, Masi Valkonen, Greg S Corrado, Lily Peng, Craig H Mermel, Pekka Ruusuvuori, Geert Litjens, Martin Eklund
Nature Medicine 28 (1), 154-163

See all my academic work at Google Scholar