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Jose Dolz

Showing results (1-10 of 35) with videos related to

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Medical Image Analysis|February 1, 2022
Weakly supervised segmentation with cross-modality equivariant constraintsGaurav Patel, Jose Dolz
IEEE Journal of Biomedical and Health Informatics|April 20, 2020
Multi-Scale Self-Guided Attention for Medical Image SegmentationAshish Sinha, Jose Dolz
IEEE Journal of Biomedical and Health Informatics|June 28, 2022
Attention-Based Dynamic Subspace Learners for Medical Image AnalysisSukesh Adiga V, Jose Dolz, Herve Lombaert
Neuroimage|April 29, 2017
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale studyJose Dolz, Christian Desrosiers, Ismail Ben Ayed
Medical Image Analysis|July 3, 2022
Constrained unsupervised anomaly segmentationJulio Silva-Rodríguez, Valery Naranjo, Jose Dolz
Medical Image Analysis|November 4, 2023
Anatomically-aware uncertainty for semi-supervised image segmentationSukesh Adiga V, Jose Dolz, Herve Lombaert
Medical Image Analysis|May 10, 2025
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationJulio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
Medical Image Analysis|November 22, 2022
Segmentation with mixed supervision: Confidence maximization helps knowledge distillationBingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, et al.
IEEE Journal of Biomedical and Health Informatics|February 23, 2021
Self-Learning for Weakly Supervised Gleason Grading of Local PatternsJulio Silva-Rodriguez, Adrian Colomer, Jose Dolz, et al.
Scientific Reports|August 15, 2023
Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networksFarzad Beizaee, Michele Bona, Christian Desrosiers, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Medical Image Analysis|February 1, 2022
Weakly supervised segmentation with cross-modality equivariant constraintsGaurav Patel, Jose Dolz
IEEE Journal of Biomedical and Health Informatics|April 20, 2020
Multi-Scale Self-Guided Attention for Medical Image SegmentationAshish Sinha, Jose Dolz
IEEE Journal of Biomedical and Health Informatics|June 28, 2022
Attention-Based Dynamic Subspace Learners for Medical Image AnalysisSukesh Adiga V, Jose Dolz, Herve Lombaert
Neuroimage|April 29, 2017
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale studyJose Dolz, Christian Desrosiers, Ismail Ben Ayed
Medical Image Analysis|July 3, 2022
Constrained unsupervised anomaly segmentationJulio Silva-Rodríguez, Valery Naranjo, Jose Dolz
Medical Image Analysis|November 4, 2023
Anatomically-aware uncertainty for semi-supervised image segmentationSukesh Adiga V, Jose Dolz, Herve Lombaert
Medical Image Analysis|May 10, 2025
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationJulio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
Medical Image Analysis|November 22, 2022
Segmentation with mixed supervision: Confidence maximization helps knowledge distillationBingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, et al.
IEEE Journal of Biomedical and Health Informatics|February 23, 2021
Self-Learning for Weakly Supervised Gleason Grading of Local PatternsJulio Silva-Rodriguez, Adrian Colomer, Jose Dolz, et al.
Scientific Reports|August 15, 2023
Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networksFarzad Beizaee, Michele Bona, Christian Desrosiers, et al.
Pageof 4