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Maxime W. Lafarge

Mitosis domain generalization in histopathology images -- The MIDOG challenge

Apr 06, 2022
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger

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* 19 pages, 9 figures, summary paper of the 2021 MICCAI MIDOG challenge

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Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge

Sep 26, 2021
Maxime W. Lafarge, Viktor H. Koelzer

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Inferring a Third Spatial Dimension from 2D Histological Images

Jan 10, 2018
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta

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* IEEE International Symposium on Biomedical Imaging (ISBI), 2018

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Domain-adversarial neural networks to address the appearance variability of histopathology images

Jul 19, 2017
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta

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* MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis

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Adversarial training and dilated convolutions for brain MRI segmentation

Jul 11, 2017
Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim

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* MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis

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