Expertise
Computer Science
- Image Segmentation
- Basis Function
- Computer Vision
- Image Classification
- Data Augmentation
- Segmentation Model
Mathematics
- Manifold
- Optimal Transport
Organisations
Publications
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
Research profiles
Courses academic year 2026/2027
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses academic year 2025/2026
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