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Ismail Ben Ayed
Ismail Ben Ayed
Professor, ETS Montreal
Potvrđena adresa e-pošte na etsmtl.ca - Početna stranica
Naslov
Citirano
Citirano
Godina
Boundary loss for highly unbalanced segmentation
H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, I Ben Ayed
Medical Image Analysis (MedIA), 2021
5552021
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
J Dolz, K Gopinath, J Yuan, H Lombaert, C Desrosiers, I Ben Ayed
IEEE Transactions on Medical Imaging (TMI), 2019
5252019
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J Dolz, C Desrosiers, I Ben Ayed
NeuroImage, 2018
4522018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
J Rony, LG Hafemann, LS Oliveira, I Ben Ayed, R Sabourin, E Granger
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR) - Oral, 2019
3592019
On Regularized Losses for Weakly-supervised CNN Segmentation
M Tang, F Perazzi, A Djelouah, I Ben Ayed, C Schroers, Y Boykov
European Conference on Computer Vision (ECCV), 2018
3502018
Constrained-CNN losses for weakly supervised segmentation
H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, I Ben Ayed
Medical Image Analysis (MedIA), 2019
2942019
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
M Ben Salah, A Mitiche, I Ben Ayed
IEEE Transactions on Image Processing (TIP), 2011
284*2011
Multiregion level-set partitioning of synthetic aperture radar images
I Ben Ayed, A Mitiche, Z Belhadj
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2005
271*2005
Right Ventricle Segmentation From Cardiac MRI: A Collation Study
C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ...
Medical Image Analysis (MedIA), 2015
2612015
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
M Boudiaf, H Kervadec, IM Ziko, P Piantanida, I Ben Ayed, J Dolz
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021
2132021
Laplacian Regularized Few-Shot Learning
IM Ziko, J Dolz, E Granger, I Ben Ayed
International Conference of Machine Learning (ICML), 2020
2022020
Transductive Information Maximization For Few-Shot Learning
M Boudiaf, IM Ziko, J Rony, J Dolz, P Piantanida, I Ben Ayed
Neural Information Processing Systems (NeurIPS), 2020
196*2020
Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge
L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ...
IEEE Transactions on Medical Imaging (TMI), 2019
1942019
Variational and Level Set Methods in Image Segmentation
A Mitiche, I Ben Ayed
Springer Verlag, 2011
1932011
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses
M Boudiaf, J Rony, IM Ziko, E Granger, M Pedersoli, P Piantanida, ...
European Conference on Computer Vision (ECCV), 2020
1882020
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet
J Dolz, C Desrosiers, I Ben Ayed
MICCAI CSI Workshop, 2018
1532018
Annotation-efficient deep learning for automatic medical image segmentation
S Wang, C Li, R Wang, Z Liu, M Wang, H Tan, Y Wu, X Liu, H Sun, R Yang, ...
Nature communications 12 (1), 5915, 2021
1502021
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
J Dolz, C Desrosiers, L Wang, J Yuan, D Shen, I Ben Ayed
Computerized Medical Imaging and Graphics (CMIG), 2020
1492020
Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities
J Dolz, I Ben Ayed, C Desrosiers
MICCAI Brainlesion Workshop, 2018
1432018
Parameter-free Online Test-time Adaptation
M Boudiaf, R Mueller, I Ben Ayed, L Bertinetto
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR) - Oral, 2022
1332022
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