| The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration B Liu, IB Ayed, A Galdran, J Dolz IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 61 | 2022 |
| Gamma challenge: glaucoma grading from multi-modality images J Wu, H Fang, F Li, H Fu, F Lin, J Li, Y Huang, Q Yu, S Song, X Xu, Y Xu, ... Medical Image Analysis 90, 102938, 2023 | 57 | 2023 |
| Learning a representative and discriminative part model with deep convolutional features for scene recognition B Liu, J Liu, J Wang, H Lu Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 28 | 2015 |
| Calibrating segmentation networks with margin-based label smoothing B Murugesan, B Liu, A Galdran, IB Ayed, J Dolz Medical Image Analysis 87, 102826, 2023 | 16 | 2023 |
| Segmentation with mixed supervision: Confidence maximization helps knowledge distillation B Liu, C Desrosiers, IB Ayed, J Dolz Medical Image Analysis, 102670, 2022 | 16 | 2022 |
| Detection guided deconvolutional network for hierarchical feature learning J Liu, B Liu, H Lu Pattern Recognition 48 (8), 2645-2655, 2015 | 15 | 2015 |
| Regularized hierarchical feature learning with non-negative sparsity and selectivity for image classification B Liu, J Liu, X Bai, H Lu 2014 22nd International Conference on Pattern Recognition, 4293-4298, 2014 | 12 | 2014 |
| Class Adaptive Network Calibration B Liu, J Rony, A Galdran, J Dolz, I Ben Ayed IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16070 …, 2023 | 11 | 2023 |
| Do we really need dice? The hidden region-size biases of segmentation losses B Liu, J Dolz, A Galdran, R Kobbi, IB Ayed Medical Image Analysis 91, 103015, 2024 | 10* | 2024 |
| Learning representative and discriminative image representation by deep appearance and spatial coding B Liu, J Liu, H Lu Computer Vision and Image Understanding 136, 23-31, 2015 | 8 | 2015 |
| Trust your neighbours: Penalty-based constraints for model calibration B Murugesan, S Adiga Vasudeva, B Liu, H Lombaert, I Ben Ayed, J Dolz International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 7 | 2023 |
| Furnishing your room by what you see: An end-to-end furniture set retrieval framework with rich annotated benchmark dataset B Liu, J Zhang, X Zhang, W Zhang, C Yu, Y Zhou arXiv preprint arXiv:1911.09299, 2019 | 7 | 2019 |
| Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization. Y Li, J Liu, Y Wang, B Liu, J Fu, Y Gao, H Wu, H Song, P Ying, H Lu CLEF (working notes), 2015 | 6 | 2015 |
| Adaptive spatial partition learning for image classification B Liu, J Liu, H Lu Neurocomputing 142, 282-290, 2014 | 5 | 2014 |
| Neighbor-aware calibration of segmentation networks with penalty-based constraints B Murugesan, SA Vasudeva, B Liu, H Lombaert, IB Ayed, J Dolz arXiv preprint arXiv:2401.14487, 2024 | 3 | 2024 |
| 基于深度学习的特征表示和图像分类方法研究 刘炳源 北京: 中国科学院大学, 2015 | 2 | 2015 |
| A domain adaptation method for deep learning based automatic diabetic retinopathy grading B Liu, H Chakor, R Kobbi, B Murugesan, W Kabir, J Chelbi, MA Racine, ... Investigative Ophthalmology & Visual Science 64 (8), 263-263, 2023 | | 2023 |
| Automatic screening and progress with AI-assisted OCT in retinal macular oedema detection. B Murugesan, H Chakor, R Kobbi, B Liu, W Kabir, J Chelbi, MA Racine, ... Investigative Ophthalmology & Visual Science 64 (8), 4995-4995, 2023 | | 2023 |
| IDF21-0299 An automatic deep learning-based system for screening and management of DME A Galdran, H Chakor, W Kabir, R Kobbi, B Liu, J Dolz, IB Ayed Diabetes Research and Clinical Practice 186, 2022 | | 2022 |
| Image representation learning by deep appearance and spatial coding B Liu, J Liu, Z Li, H Lu Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | | 2015 |
Ismail Ben AyedProfessor, ETS MontrealVerified email at etsmtl.ca
