| 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 | 179 | 2018 |
| 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 | 168 | 2017 |
| 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 | 135 | 2017 |
| 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 | 117 | 2018 |
| 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 | 84 | 2023 |
| 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 | 75 | 2021 |
| 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 | 54 | 2019 |
| Learning domain-invariant representations of histological images MW Lafarge, JPW Pluim, KAJ Eppenhof, M Veta Frontiers in medicine 6, 162, 2019 | 47 | 2019 |
| 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 | 37 | 2018 |
| 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 | 24 | 2015 |
| 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 | 14 | 2019 |
| 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 | 9 | 2023 |
| Towards computationally efficient prediction of molecular signatures from routine histology images MW Lafarge, VH Koelzer The Lancet Digital Health 3 (12), e752-e753, 2021 | 9 | 2021 |
| Orientation-disentangled unsupervised representation learning for computational pathology MW Lafarge, JPW Pluim, M Veta arXiv preprint arXiv:2008.11673, 2020 | 7 | 2020 |
| 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 | 6 | 2021 |
| 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 | 5 | 2022 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| 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 | 3 | 2024 |
| 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 | 3 | 2023 |
