Boundary loss for highly unbalanced segmentation H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, I Ben Ayed Medical Image Analysis (MedIA), 2021 | 513 | 2021 |
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 | 506 | 2019 |
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study J Dolz, C Desrosiers, I Ben Ayed NeuroImage, 2018 | 440 | 2018 |
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 Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 349 | 2019 |
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 | 332 | 2018 |
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 | 285 | 2019 |
Multiregion Image Segmentation by Parametric Kernel Graph Cuts M Ben Salah, A Mitiche, I Ben Ayed IEEE Transactions on Image Processing (TIP), 2011 | 283* | 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 | 254 | 2015 |
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 Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 200 | 2021 |
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 | 191 | 2019 |
Variational and Level Set Methods in Image Segmentation A Mitiche, I Ben Ayed Springer Verlag, 2011 | 191 | 2011 |
Laplacian Regularized Few-Shot Learning IM Ziko, J Dolz, E Granger, I Ben Ayed International Conference of Machine Learning (ICML), 2020 | 184 | 2020 |
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 | 183* | 2020 |
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 | 173 | 2020 |
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 | 147 | 2018 |
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 | 143 | 2020 |
Source-Free Domain Adaptation for Image Segmentation M Bateson, J Dolz, H Kervadec, H Lombaert, I Ben Ayed Medical Image Analysis (MedIA), 2022 | 140* | 2022 |
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 | 138 | 2018 |
Deep clustering: On the link between discriminative models and K-means M Jabi, M Pedersoli, A Mitiche, I Ben Ayed IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 122 | 2021 |