Maxime W. Lafarge

32 papers B 2Journal 19Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A protocol for evaluating robustness to H&E staining variation in computational pathology models. CoRR Lydia A. Schoenpflug, Nikki van den Berg, Sonali Andani, Nanda Horeweg, Jurriaan Barkey Wolf, Tjalling Bosse, Viktor H. Koelzer, Maxime W. Lafarge
2025	J	`jnl`	Sequential Hard Mining: a data-centric approach for Mitosis Detection. CoRR Maxime W. Lafarge, Viktor H. Koelzer
2024	J	`jnl`	Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2023	J	`jnl`	CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. CoRR Fan Fan, Georgia Martinez, Thomas DeSilvio, John Shin, Yijiang Chen, Bangchen Wang, Takaya Ozeki, Maxime W. Lafarge, Viktor H. Koelzer, Laura Barisoni, Anant Madabhushi, Satish E. Viswanath, Andrew Janowczyk
2023	—	`conf`	Detecting Cells in Histopathology Images with a ResNet Ensemble Model. GRAIL/OCELOT@MICCAI Maxime W. Lafarge, Viktor Hendrik Koelzer
2023	J	`jnl`	Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2023	J	`jnl`	Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. CoRR Maxime W. Lafarge, Viktor H. Koelzer
2023	—	`conf`	Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. MICCAI (5) Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
2023	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, 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, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
2023	J	`jnl`	Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides. CoRR Lydia A. Schoenpflug, Maxime W. Lafarge, Anja L. Frei, Viktor H. Koelzer
2022	—	`conf`	Enhancing Local Context of Histology Features in Vision Transformers. AIIIMA/MIABID@MICCAI Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
2022	—	`conf`	Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. MIDOG/DRAC@MICCAI Maxime W. Lafarge, Viktor H. Koelzer
2022	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. 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
2022	—	`conf`	Towards IID representation learning and its application on biomedical data. MIDL Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer
2022	J	`jnl`	Towards IID representation learning and its application on biomedical data. CoRR Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer
2021	—	`conf`	Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge. MIDOG/MOOD/Learn2Reg@MICCAI Maxime W. Lafarge, Viktor H. Koelzer
2021	J	`jnl`	Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge. CoRR Maxime W. Lafarge, Viktor H. Koelzer
2021	J	`jnl`	Roto-translation equivariant convolutional networks: Application to histopathology image analysis. Medical Image Anal. Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
2020	J	`jnl`	Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology. CoRR Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta
2020	J	`jnl`	Progressively Trained Convolutional Neural Networks for Deformable Image Registration. IEEE Trans. Medical Imaging Koen A. J. Eppenhof, Maxime W. Lafarge, Mitko Veta, Josien P. W. Pluim
2020	J	`jnl`	Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis. CoRR Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
2019	—	`conf`	Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning. MIDL Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P. W. Pluim, Shantanu Singh, Mitko Veta
2019	B	`conf`	Progressively growing convolutional networks for end-to-end deformable image registration. Image Processing Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim
2018	B	`conf`	Deformable image registration using convolutional neural networks. Image Processing Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim
2018	J	`jnl`	Inferring a Third Spatial Dimension from 2D Histological Images. CoRR Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2018	—	`conf`	Inferring a third spatial dimension from 2D histological images. ISBI Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2018	—	`conf`	Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. MICCAI (1) Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
2018	J	`jnl`	Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. CoRR Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
2017	—	`conf`	Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. DLMIA/ML-CDS@MICCAI Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
2017	J	`jnl`	Adversarial training and dilated convolutions for brain MRI segmentation. CoRR Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
2017	—	`conf`	Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images. DLMIA/ML-CDS@MICCAI Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2017	J	`jnl`	Domain-adversarial neural networks to address the appearance variability of histopathology images. CoRR Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta