| Boundary loss for highly unbalanced segmentation H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, I Ben Ayed Medical Image Analysis 67, 101851, 2021 | 580 | 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, 2019 | 545 | 2019 |
| Multi-scale self-guided attention for medical image segmentation A Sinha, J Dolz IEEE journal of biomedical and health informatics 25 (1), 121-130, 2021 | 537 | 2021 |
| 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study J Dolz, C Desrosiers, IB Ayed NeuroImage 170, 456--470, 2018 | 461 | 2018 |
| Constrained-CNN losses for weakly supervised segmentation H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, IB Ayed Medical image analysis 54, 88-99, 2019 | 298 | 2019 |
| Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? M Boudiaf, H Kervadec, ZI Masud, P Piantanida, I Ben Ayed, J Dolz IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 13979 …, 2021 | 223 | 2021 |
| Laplacian Regularized Few-Shot Learning Z Imtiaz, J Dolz, E Granger, I Ben Ayed International Conference on Machine Learning (ICML), 2020 | 213* | 2020 |
| Benchmark on automatic six-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 38 (9), 2219-2230, 2019 | 211 | 2019 |
| Transductive Information Maximization For Few-Shot Learning M Boudiaf, ZI Masud, J Rony, J Dolz, P Piantanida, IB Ayed Neural Information Processing Systems (NeurIPS) 2020, 2020 | 207* | 2020 |
| Few-shot 3d multi-modal medical image segmentation using generative adversarial learning AK Mondal, J Dolz, C Desrosiers arXiv preprint arXiv:1810.12241, 2018 | 164 | 2018 |
| IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet J Dolz, C Desrosiers, I Ben Ayed International workshop and challenge on computational methods and clinical …, 2018 | 160 | 2018 |
| Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation J Dolz, C Desrosiers, L Wang, J Yuan, D Shen, IB Ayed Computerized Medical Imaging and Graphics 79, 101660, 2020 | 155 | 2020 |
| Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities J Dolz, I Ben Ayed, C Desrosiers Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 145 | 2019 |
| Source-Relaxed Domain Adaptation for Image Segmentation M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020 | 108 | 2020 |
| Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images A Carass, JL Cuzzocreo, S Han, CR Hernandez-Castillo, PE Rasser, ... Neuroimage 183, 150-172, 2018 | 105 | 2018 |
| Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision H Kervadec, J Dolz, S Wang, E Granger, IB Ayed Medical Imaging with Deep Learning (MIDL), 2020 | 104 | 2020 |
| Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks J Dolz, X Xu, J Rony, J Yuan, Y Liu, E Granger, C Desrosiers, X Zhang, ... Medical Physics 45 (12), 5482-5493, 2018 | 102 | 2018 |
| Unsupervised multi-target domain adaptation through knowledge distillation LT Nguyen-Meidine, A Belal, M Kiran, J Dolz, LA Blais-Morin, E Granger IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1339-1347, 2021 | 99 | 2021 |
| On the texture bias for few-shot cnn segmentation R Azad, AR Fayjie, C Kauffmann, I Ben Ayed, M Pedersoli, J Dolz IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2674-2683, 2021 | 97 | 2021 |
| Esophagus segmentation in CT via 3D fully convolutional neural network and random walk T Fechter, S Adebahr, D Baltas, I Ben Ayed, C Desrosiers, J Dolz Medical physics 44 (12), 6341-6352, 2017 | 94 | 2017 |
Ismail Ben AyedProfessor, ETS Montreal在 etsmtl.ca 的电子邮件经过验证
