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Abboud, Z., Lombaert, H., & Kadoury, S. (septembre 2025). Variational Visible Layers: A Practical Framework for Uncertainty Estimation [Communication écrite]. 28th international conference on medical image computing and computer assisted intervention (MICCAI 2025), Daejeon, South Korea. Publié dans Lecture notes in computer science. Lien externe
Chang, T.-E., & Lombaert, H. (2025). Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading. Lecture notes in computer science, 74-86. Présentée à Shape in Medical Imaging (ShapeMI 2025), Daejeon, South Korea. Lien externe
Dastani, S., Bahri, A., Yazdanpanah, M., Noori, M., Osowiechi, D., Vargas Hakim, G. A., Beizaee, F., Cheraghalikhani, M., Kumar Mondal, A., Lombaert, H., & Desrosiers, C. (juin 2025). Spectral State Space Model for Rotation-Invariant Visual Representation Learning [Communication écrite]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville, TN, USA. Lien externe
Gaillochet, M., Noori, M., Dastani, S., Desrosiers, C., & Lombaert, H. (2025). Prompt learning with bounding box constraints for medical image segmentation. IEEE Transactions on Biomedical Engineering, 10 pages. Lien externe
Kubik, T., Guibault, F., Španěl, M., & Lombaert, H. (mai 2025). ToothForge: Automatic Dental Shape Generation Using Synchronized Spectral Embeddings [Communication écrite]. 29th International Conference on Information Processing in Medical Imaging (IPMI 2025), Kos, Greece. Publié dans Lecture notes in computer science. Lien externe
Murugesan, B., Vasudeva, S. A., Liu, B., Lombaert, H., Ayed, I. B., & Dolz, J. (2025). Neighbor-aware calibration of segmentation networks with penalty-based constraints. Medical Image Analysis, 103501-103501. Lien externe
Vasudeva, S. A., Dolz, J., & Lombaert, H. (2025). GeoLS: an Intensity-based, Geodesic Soft Labeling for Image Segmentation. The Journal of Machine Learning for Biomedical Imaging, 2(April 2025), 120-134. Lien externe
