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Eric Granger

Showing results (1-10 of 9) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|October 4, 2018
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification ProblemsMarc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2024
Hybrid Gromov-Wasserstein Embedding for Capsule LearningPourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, et al.
IEEE Transactions on Cybernetics|May 6, 2022
GEN: Generative Equivariant Networks for Diverse Image-to-Image TranslationPourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Sleep Brain and Cardiac Activity Predict Cognitive Flexibility and Conceptual Reasoning Using Deep Learning<sup></sup>Boshra Khajehpiri, Eric Granger, Massimiliano de Zambotti, et al.
IEEE Transactions on Medical Imaging|October 27, 2021
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min UncertaintySoufiane Belharbi, Jerome Rony, Jose Dolz, et al.
Medical Image Analysis|March 10, 2019
Constrained-CNN losses for weakly supervised segmentationHoel Kervadec, Jose Dolz, Meng Tang, et al.
Medical Image Analysis|October 20, 2020
Boundary loss for highly unbalanced segmentationHoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, et al.
IEEE Sensors Journal|February 17, 2025
SleepBP-Net: A Time-Distributed Convolutional Network for Nocturnal Blood Pressure Estimation from PhotoplethysmogramBoshra Khajehpiri, Eric Granger, Massimiliano de Zambotti, et al.
Medical Physics|October 18, 2018
Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networksJose Dolz, Xiaopan Xu, Jérôme Rony, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|October 4, 2018
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification ProblemsMarc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2024
Hybrid Gromov-Wasserstein Embedding for Capsule LearningPourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, et al.
IEEE Transactions on Cybernetics|May 6, 2022
GEN: Generative Equivariant Networks for Diverse Image-to-Image TranslationPourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Sleep Brain and Cardiac Activity Predict Cognitive Flexibility and Conceptual Reasoning Using Deep Learning<sup></sup>Boshra Khajehpiri, Eric Granger, Massimiliano de Zambotti, et al.
IEEE Transactions on Medical Imaging|October 27, 2021
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min UncertaintySoufiane Belharbi, Jerome Rony, Jose Dolz, et al.
Medical Image Analysis|March 10, 2019
Constrained-CNN losses for weakly supervised segmentationHoel Kervadec, Jose Dolz, Meng Tang, et al.
Medical Image Analysis|October 20, 2020
Boundary loss for highly unbalanced segmentationHoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, et al.
IEEE Sensors Journal|February 17, 2025
SleepBP-Net: A Time-Distributed Convolutional Network for Nocturnal Blood Pressure Estimation from PhotoplethysmogramBoshra Khajehpiri, Eric Granger, Massimiliano de Zambotti, et al.
Medical Physics|October 18, 2018
Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networksJose Dolz, Xiaopan Xu, Jérôme Rony, et al.
Pageof 1