Expertises
Computer Science
- Image Segmentation
- Basis Function
- Computer Vision
- Image Classification
- Data Augmentation
- Segmentation Model
Mathematics
- Manifold
- Optimal Transport
Organisaties
Publicaties
2026
SegReg: Latent Space Regularization for Improved Medical Image Segmentation (2026)[Working paper › Preprint]. ArXiv.org (Submitted). Vaish, M., Ranem, A., Meister, F., Heimann, T., Brune, C. & Wolterink, J. M.https://doi.org/10.48550/arXiv.2602.23509
2025
Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation (2025)[Working paper › Preprint]. ArXiv.org. Vaish, P., Meister, F., Heimann, T., Brune, C. & Wolterink, J. M.https://doi.org/10.48550/arXiv.2509.13846Joint Manifold Learning and Optimal Transport for Dynamic Imaging (2025)[Working paper › Preprint]. ArXiv.org. Dummer, S., Vaish, P. & Brune, C.https://doi.org/10.48550/arXiv.2505.11913Joint Manifold Learning and Optimal Transport for Dynamic Imaging (2025)In Scale Space and Variational Methods in Computer Vision - 10th International Conference, SSVM 2025, Proceedings (pp. 400-411) (Lecture Notes in Computer Science; Vol. 15667 LNCS). Springer. Dummer, S., Vaish, P. & Brune, C.https://doi.org/10.1007/978-3-031-92366-1_31Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation (2025)[Working paper › Preprint]. ArXiv.org. Vaish, P., Meister, F., Heimann, T., Brune, C. & Wolterink, J. M.https://doi.org/10.48550/arXiv.2505.10223Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation - Pretrained Models and Test Data (2025)[Dataset Types › Dataset]. Zenodo. Vaish, P., Meister, F., Heimann, T., Brune, C. & Wolterink, J.https://doi.org/10.5281/zenodo.15517158
2024
Fourier-Basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification (2024)In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 17763-17772). Article 10655510. IEEE. Vaish, P., Wang, S. & Strisciuglio, N.https://doi.org/10.1109/CVPR52733.2024.01682Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification (2024)[Working paper › Preprint]. ArXiv.org. Vaish, P., Wang, S. & Strisciuglio, N.https://doi.org/10.48550/arXiv.2403.01944Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification: CIFAR-10 models (2024)[Dataset Types › Dataset]. Zenodo. Vaish, P., Wang, S. & Strisciuglio, N.https://doi.org/10.48550/arXiv.2403.01944
Onderzoeksprofielen
Vakken collegejaar 2025/2026
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken collegejaar 2024/2025
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