Foveation-based mechanisms alleviate adversarial examples Y Luo, X Boix, G Roig, T Poggio, Q Zhao
arXiv preprint arXiv:1511.06292, 2015
206 2015 -Softmax: Improving Intraclass Compactness and Interclass Separability of FeaturesY Luo, Y Wong, M Kankanhalli, Q Zhao
IEEE transactions on neural networks and learning systems 31 (2), 685-699, 2019
58 2019 Multi-camera saliency Y Luo, M Jiang, Y Wong, Q Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (10), 2057 …, 2015
16 2015 Visual attention in multi-label image classification Y Luo, M Jiang, Q Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
15 2019 Direction concentration learning: Enhancing congruency in machine learning Y Luo, Y Wong, M Kankanhalli, Q Zhao
IEEE transactions on pattern analysis and machine intelligence 43 (6), 1928-1946, 2019
14 2019 Artifact-tolerant clustering-guided contrastive embedding learning for ophthalmic images in glaucoma M Shi, A Lokhande, MS Fazli, V Sharma, Y Tian, Y Luo, LR Pasquale, ...
IEEE Journal of Biomedical and Health Informatics, 2023
8 2023 Learning to predict trustworthiness with steep slope loss Y Luo, Y Wong, MS Kankanhalli, Q Zhao
Advances in Neural Information Processing Systems 34, 21533-21544, 2021
8 2021 Label consistent quadratic surrogate model for visual saliency prediction Y Luo, Y Wong, Q Zhao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
7 2015 -Reference Transfer Learning for Saliency PredictionY Luo, Y Wong, MS Kankanhalli, Q Zhao
ECCV 2020 12353, 502--519, 2020
5 2020 Harvard glaucoma fairness: a retinal nerve disease dataset for fairness learning and fair identity normalization Y Luo, Y Tian, M Shi, LR Pasquale, LQ Shen, N Zebardast, T Elze, ...
IEEE Transactions on Medical Imaging, 2024
4 2024 Learning to Predict Gradients for Semi-Supervised Continual Learning Y Luo, Y Wong, M Kankanhalli, Q Zhao
IEEE Transactions on Neural Networks and Learning Systems, 2024
4 2024 FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling Y Tian, M Shi, Y Luo, A Kouhana, T Elze, M Wang
arXiv preprint arXiv:2311.02189, 2023
4 2023 Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling Y Luo, Y Tian, M Shi, T Elze, M Wang
arXiv e-prints, arXiv: 2310.02492, 2023
3 * 2023 Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning Y Luo, M Shi, Y Tian, T Elze, M Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
3 2023 Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma M Shi, JA Sun, A Lokhande, Y Tian, Y Luo, T Elze, LQ Shen, M Wang
Translational Vision Science & Technology 12 (11), 12-12, 2023
2 2023 RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps M Shi, Y Tian, Y Luo, T Elze, M Wang
Medical Image Analysis, 103110, 2024
1 2024 A graph neural network-based clustering method for glaucoma detection from OCT scans considering uncertainties in the number of clusters SK Hashemabad, M Eslami, M Shi, Y Luo, Y Tian, S Saha, N Zebardast, ...
Investigative Ophthalmology & Visual Science 64 (9), PB0013-PB0013, 2023
1 2023 Equitable deep learning for glaucoma progression forecasting M Wang, T Elze, LR Pasquale, LQ Shen, SK Hashemabad, M Eslami, ...
Investigative Ophthalmology & Visual Science 64 (8), 340-340, 2023
1 2023 Learning to minimize the remainder in supervised learning Y Luo, Y Wong, MS Kankanhalli, Q Zhao
IEEE Transactions on Multimedia 25, 1738-1748, 2022
1 2022 Equitable deep learning for diabetic retinopathy detection using multi-dimensional retinal imaging with fair adaptive scaling: a retrospective study M Shi, MM Afzal, H Huang, C Wen, Y Luo, MO Khan, Y Tian, L Kim, T Elze, ...
medRxiv, 2024.04. 13.24305759, 2024
2024