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Jose Dolz

Showing results (11-20 of 35) with videos related to

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IEEE Transactions on Medical Imaging|March 12, 2021
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical ImagesBach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, et al.
Medical Image Analysis|May 5, 2023
Calibrating segmentation networks with margin-based label smoothingBalamurali Murugesan, Bingyuan Liu, Adrian Galdran, et al.
Computers in Biology and Medicine|July 4, 2025
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimationFranco Matzkin, Agostina Larrazabal, Diego H Milone, et al.
Medical Image Analysis|October 13, 2022
Source-free domain adaptation for image segmentationMathilde Bateson, Hoel Kervadec, Jose Dolz, et al.
Medical Image Analysis|November 2, 2023
Do we really need dice? The hidden region-size biases of segmentation lossesBingyuan Liu, Jose Dolz, Adrian Galdran, et al.
Medical Image Analysis|October 17, 2024
A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervisionJulio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, et al.
Medical Physics|September 24, 2017
Esophagus segmentation in CT via 3D fully convolutional neural network and random walkTobias Fechter, Sonja Adebahr, Dimos Baltas, et al.
Medical Image Analysis|October 20, 2020
Boundary loss for highly unbalanced segmentationHoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 30, 2020
Discretely-constrained deep network for weakly supervised segmentationJizong Peng, Hoel Kervadec, Jose Dolz, et al.
Computers in Biology and Medicine|May 23, 2021
MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessonsMark G Bandyk, Dheeraj R Gopireddy, Chandana Lall, et al.
Pageof 4

Showing results (11-20 of 35) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Medical Imaging|March 12, 2021
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical ImagesBach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, et al.
Medical Image Analysis|May 5, 2023
Calibrating segmentation networks with margin-based label smoothingBalamurali Murugesan, Bingyuan Liu, Adrian Galdran, et al.
Computers in Biology and Medicine|July 4, 2025
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimationFranco Matzkin, Agostina Larrazabal, Diego H Milone, et al.
Medical Image Analysis|October 13, 2022
Source-free domain adaptation for image segmentationMathilde Bateson, Hoel Kervadec, Jose Dolz, et al.
Medical Image Analysis|November 2, 2023
Do we really need dice? The hidden region-size biases of segmentation lossesBingyuan Liu, Jose Dolz, Adrian Galdran, et al.
Medical Image Analysis|October 17, 2024
A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervisionJulio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, et al.
Medical Physics|September 24, 2017
Esophagus segmentation in CT via 3D fully convolutional neural network and random walkTobias Fechter, Sonja Adebahr, Dimos Baltas, et al.
Medical Image Analysis|October 20, 2020
Boundary loss for highly unbalanced segmentationHoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 30, 2020
Discretely-constrained deep network for weakly supervised segmentationJizong Peng, Hoel Kervadec, Jose Dolz, et al.
Computers in Biology and Medicine|May 23, 2021
MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessonsMark G Bandyk, Dheeraj R Gopireddy, Chandana Lall, et al.
Pageof 4