Yan Luo
Orcid: 0000-0001-5135-0316Affiliations:
- Harvard University, Harvard Ophthalmology AI Laboratory, Cambridge, MA, USA
- University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, USA (PhD 2022)
- National University of Singapore, Department of Electrical and Computer Engineering, Singapore (former)
According to our database1,
Yan Luo
authored at least 27 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
CoRR, August, 2025
IEEE Trans. Neural Networks Learn. Syst., February, 2025
Equitable artificial intelligence for glaucoma screening with fair identity normalization.
npj Digit. Medicine, 2025
2024
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.
IEEE Trans. Medical Imaging, July, 2024
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps.
Medical Image Anal., 2024
CoRR, 2024
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation.
CoRR, 2024
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction.
CoRR, 2024
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.
IEEE J. Biomed. Health Informatics, September, 2023
FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling.
CoRR, 2023
Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling.
CoRR, 2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.
CoRR, 2023
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.
CoRR, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features.
CoRR, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015