Maxime W. Lafarge

According to our database, Maxime W. Lafarge authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge.

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

Medical Image Anal., 2024

2023

Mitosis domain generalization in histopathology images - The MIDOG challenge.

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

Medical Image Anal., 2023

CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models.

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

CoRR, 2023

Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides.

Lydia A. Schoenpflug, Maxime W. Lafarge, Anja L. Frei, Viktor H. Koelzer

CoRR, 2023

Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies.

Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Detecting Cells in Histopathology Images with a ResNet Ensemble Model.

Maxime W. Lafarge, Viktor Hendrik Koelzer

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

2022

Mitosis domain generalization in histopathology images - The MIDOG challenge.

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

CoRR, 2022

Towards IID representation learning and its application on biomedical data.

Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Enhancing Local Context of Histology Features in Vision Transformers.

Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher

Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022

Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset.

Maxime W. Lafarge, Viktor H. Koelzer

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

2021

Roto-translation equivariant convolutional networks: Application to histopathology image analysis.

Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta

Medical Image Anal., 2021

Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge.

Maxime W. Lafarge, Viktor H. Koelzer

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

2020

Progressively Trained Convolutional Neural Networks for Deformable Image Registration.

Koen A. J. Eppenhof, Maxime W. Lafarge, Mitko Veta, Josien P. W. Pluim

IEEE Trans. Medical Imaging, 2020

Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology.

Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta

CoRR, 2020

2019

Progressively growing convolutional networks for end-to-end deformable image registration.

Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning.

Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P. W. Pluim, Shantanu Singh, Mitko Veta

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

Deformable image registration using convolutional neural networks.

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

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Roto-Translation Covariant Convolutional Networks for Medical Image Analysis.

Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Inferring a third spatial dimension from 2D histological images.

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

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Adversarial Training and Dilated Convolutions for Brain MRI Segmentation.

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

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images.

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

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017