Maxime Lafarge
Maxime Lafarge
Postdoctoral Researcher, University Hospital of Zürich
Verified email at usz.ch
Title
Cited by
Cited by
Year
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
1122017
Roto-translation covariant convolutional networks for medical image analysis
EJ Bekkers, MW Lafarge, M Veta, KAJ Eppenhof, JPW Pluim, R Duits
International conference on medical image computing and computer-assisted …, 2018
812018
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
732017
Deformable image registration using convolutional neural networks
KAJ Eppenhof, MW Lafarge, P Moeskops, M Veta, JPW Pluim
Medical Imaging 2018: Image Processing 10574, 105740S, 2018
702018
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
132019
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
132015
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
122021
Learning domain-invariant representations of histological images
MW Lafarge, JPW Pluim, KAJ Eppenhof, M Veta
Frontiers in medicine 6, 162, 2019
112019
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
102018
Progressively growing convolutional networks for end-to-end deformable image registration
KAJ Eppenhof, MW Lafarge, JPW Pluim
Medical Imaging 2019: Image Processing 10949, 109491C, 2019
92019
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
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
MW Lafarge, JPW Pluim, M Veta
arXiv preprint arXiv:2008.11673, 2020
12020
Learning Invariant Representations of Images for Computational Pathology
MW Lafarge
Technische Universiteit Eindhoven, 2021
2021
Training deep convolutional neural networks for deformable image registration of pulmonary CT images
K Eppenhof, M Lafarge, J Pluim
Workshop on Biomedical Image Registration, 2018
2018
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