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Adiga V, S., Dolz, J., & Lombaert, H. (2024). Anatomically-aware uncertainty for semi-supervised image segmentation. Medical Image Analysis, 91, 103011 (10 pages). Lien externe
Adiga Vasudeva, S., Dolz, J., & Lombaert, H. (septembre 2022). Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation [Communication écrite]. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. Lien externe
Bateson, M., Kervadec, H., Dolz, J., Lombaert, H., & Ben Ayed, I. (octobre 2019). Constrained Domain Adaptation for Segmentation [Communication écrite]. 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China. Lien externe
Dolz, J., Gopinath, K., Yuan, J., Lombaert, H., Desrosiers, C., & Ben Ayed, I. (2019). HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Transactions on Medical Imaging, 38(5), 1116-1126. Lien externe
Galdran, A., Anjos, A., Dolz, J., Chakor, H., Lombaert, H., & Ayed, I. B. (2022). State-of-the-art retinal vessel segmentation with minimalistic models. Scientific Reports, 12(1), 6174 (13 pages). Lien externe
Galdran, A., Dolz, J., Chakor, H., Lombaert, H., & Ben Ayed, I. (octobre 2020). Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images [Communication écrite]. 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru. Lien externe
Galdran, A., Chelbi, J., Kobi, R., Dolz, J., Lombaert, H., ben Ayed, I., & Chakor, H. (2020). Non-uniform Label Smoothing for Diabetic Retinopathy Grading from Retinal Fundus Images with Deep Neural Networks. Translational Vision Science & Technology, 9(2), 34 (8 pages). Lien externe
Murugesan, B., Adiga Vasudeva, S., Liu, B., Lombaert, H., Ben Ayed, I., & Dolz, J. (octobre 2023). Trust Your Neighbours: Penalty-Based Constraints for Model Calibration [Communication écrite]. 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada. Lien externe
Vasudeva, S. A., Dolz, J., & Lombaert, H. (juillet 2023). GeoLS: Geodesic Label Smoothing for Image Segmentation [Communication écrite]. Medical Imaging with Deep Learning (MIDL 2023), Nashville, TN, USA. Publié dans Proceedings of Machine Learning Research, 227. Lien externe
