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Maxime Lafarge
Maxime Lafarge
Postdoctoral Researcher, University of Basel
Dirección de correo verificada de unibas.ch
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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
2172018
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
1812017
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
1462017
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
1272018
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
1112023
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
922021
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
712019
Learning domain-invariant representations of histological images
MW Lafarge, JPW Pluim, KAJ Eppenhof, M Veta
Frontiers in medicine 6, 162, 2019
522019
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
422018
Pathway level subtyping identifies a slow-cycling biological phenotype associated with poor clinical outcomes in colorectal cancer
SB Malla, RM Byrne, MW Lafarge, SM Corry, NC Fisher, PK Tsantoulis, ...
Nature genetics 56 (3), 458-472, 2024
232024
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
232015
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 94, 103155, 2024
182024
Prediction of recurrence risk in endometrial cancer with multimodal deep learning
S Volinsky-Fremond, N Horeweg, S Andani, J Barkey Wolf, MW Lafarge, ...
Nature Medicine, 1-12, 2024
162024
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
162019
Transcriptomics and proteomics reveal distinct biology for lymph node metastases and tumour deposits in colorectal cancer
NPM Brouwer, L Webbink, TS Haddad, N Rutgers, S van Vliet, CS Wood, ...
The Journal of Pathology 261 (4), 401-412, 2023
142023
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
142023
Towards computationally efficient prediction of molecular signatures from routine histology images
MW Lafarge, VH Koelzer
The Lancet Digital Health 3 (12), e752-e753, 2021
112021
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
102021
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy
MW Lafarge, E Domingo, K Sirinukunwattana, R Wood, L Samuel, ...
NPJ precision oncology 8 (1), 89, 2024
92024
Orientation-disentangled unsupervised representation learning for computational pathology
MW Lafarge, JPW Pluim, M Veta
arXiv preprint arXiv:2008.11673, 2020
82020
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Artículos 1–20