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Maxime Lafarge
Maxime Lafarge
Postdoctoral Researcher, University Hospital Zürich
Verified email at usz.ch
Title
Cited by
Cited by
Year
Roto-translation covariant convolutional networks for medical image analysis
EJ Bekkers, MW Lafarge, M Veta, KAJ Eppenhof, JPW Pluim, R Duits
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1752018
Adversarial training and dilated convolutions for brain MRI segmentation
P Moeskops, M Veta, MW Lafarge, KAJ Eppenhof, JPW Pluim
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
1672017
Domain-adversarial neural networks to address the appearance variability of histopathology images
MW Lafarge, JPW Pluim, KAJ Eppenhof, P Moeskops, M Veta
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
1342017
Deformable image registration using convolutional neural networks
KAJ Eppenhof, MW Lafarge, P Moeskops, M Veta, JPW Pluim
Medical Imaging 2018: Image Processing 10574, 192-197, 2018
1162018
Mitosis domain generalization in histopathology images—the MIDOG challenge
M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ...
Medical Image Analysis 84, 102699, 2023
802023
Roto-translation equivariant convolutional networks: Application to histopathology image analysis
MW Lafarge, EJ Bekkers, JPW Pluim, R Duits, M Veta
Medical Image Analysis 68, 101849, 2021
732021
Progressively trained convolutional neural networks for deformable image registration
KAJ Eppenhof, MW Lafarge, M Veta, JPW Pluim
IEEE transactions on medical imaging 39 (5), 1594-1604, 2019
532019
Learning domain-invariant representations of histological images
MW Lafarge, JPW Pluim, KAJ Eppenhof, M Veta
Frontiers in medicine 6, 162, 2019
462019
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning
MW Lafarge, JC Caicedo, AE Carpenter, JPW Pluim, S Singh, M Veta
International Conference on Medical Imaging with Deep Learning (MIDL) 102 …, 2018
352018
Multimodal angiographic assessment of cerebral arteriovenous malformations: a pilot study
R Blanc, A Seiler, T Robert, H Baharvahdat, M Lafarge, J Savatovsky, ...
Journal of neurointerventional surgery 7 (11), 841-847, 2015
242015
Progressively growing convolutional networks for end-to-end deformable image registration
KAJ Eppenhof, MW Lafarge, JPW Pluim
Medical Imaging 2019: Image Processing 10949, 338-344, 2019
142019
Towards computationally efficient prediction of molecular signatures from routine histology images
MW Lafarge, VH Koelzer
The Lancet Digital Health 3 (12), e752-e753, 2021
92021
Deep learning supported mitoses counting on whole slide images: a pilot study for validating breast cancer grading in the clinical workflow
SA van Bergeijk, N Stathonikos, ND Ter Hoeve, MW Lafarge, TQ Nguyen, ...
Journal of pathology informatics 14, 100316, 2023
62023
Rotation invariance and extensive data augmentation: A strategy for the mitosis domain generalization (midog) challenge
MW Lafarge, VH Koelzer
International Conference on Medical Image Computing and Computer-Assisted …, 2021
62021
Orientation-disentangled unsupervised representation learning for computational pathology
MW Lafarge, JPW Pluim, M Veta
arXiv preprint arXiv:2008.11673, 2020
62020
Enhancing local context of histology features in vision transformers
R Wood, K Sirinukunwattana, E Domingo, A Sauer, MW Lafarge, ...
MICCAI Workshop on Medical Image Assisted Blomarkers' Discovery, 154-163, 2022
52022
Towards iid representation learning and its application on biomedical data
J Wu, I Zlobec, M Lafarge, Y He, VH Koelzer
arXiv preprint arXiv:2203.00332, 2022
42022
Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset
MW Lafarge, VH Koelzer
Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI …, 2023
32023
Domain generalization across tumor types, laboratories, and species—Insights from the 2022 edition of the Mitosis Domain Generalization Challenge
M Aubreville, N Stathonikos, TA Donovan, R Klopfleisch, J Ammeling, ...
Medical Image Analysis, 103155, 2024
22024
Inferring a third spatial dimension from 2D histological images
MW Lafarge, JPW Pluim, KAJ Eppenhof, P Moeskops, M Veta
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
22018
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