Tobias Elze
Orcid: 0000-0002-2032-0496
According to our database1,
Tobias Elze
authored at least 13 papers
between 2011 and 2024.
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Bibliography
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
Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning.
CoRR, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
2020
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2018
IEEE J. Biomed. Health Informatics, 2018
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018
2011
Neural Networks, 2011