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Items where Author is "Dolz, José"

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Number of items: 9.

A

Adiga V, S., Dolz, J., & Lombaert, H. (2024). Anatomically-aware uncertainty for semi-supervised image segmentation. Medical Image Analysis, 91, 103011 (10 pages). External link

Adiga Vasudeva, S., Dolz, J., & Lombaert, H. (2022, September). Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation [Paper]. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. External link

B

Bateson, M., Kervadec, H., Dolz, J., Lombaert, H., & Ben Ayed, I. (2019, October). Constrained Domain Adaptation for Segmentation [Paper]. 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China. External link

D

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. External link

G

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). External link

Galdran, A., Dolz, J., Chakor, H., Lombaert, H., & Ben Ayed, I. (2020, October). Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images [Paper]. 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru. External link

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). External link

M

Murugesan, B., Adiga Vasudeva, S., Liu, B., Lombaert, H., Ben Ayed, I., & Dolz, J. (2023, October). Trust Your Neighbours: Penalty-Based Constraints for Model Calibration [Paper]. 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada. External link

V

Vasudeva, S. A., Dolz, J., & Lombaert, H. (2023, July). GeoLS: Geodesic Label Smoothing for Image Segmentation [Paper]. Medical Imaging with Deep Learning (MIDL 2023), Nashville, TN, USA. Published in Proceedings of Machine Learning Research, 227. External link

List generated on: Wed Jun 19 16:55:59 2024 EDT