Tobias Elze
3 papers · 2023–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Keywords
medical imaging
(2)
multi-task learning
(1)
domain adaptation
(1)
optimal transport
(1)
medical image segmentation
(1)
bias mitigation
(1)
vision-language model
(1)
segment anything model
(1)
optical coherence tomography
(1)
glaucoma detection
(1)
dice coefficient
(1)
fairness learning
(1)
semi-supervised learning
(1)
error-bound scaling
(1)
Papers
FairCLIP: Harnessing Fairness in Vision-Language Learning
CVPR 2024
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
ICLR 2024
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
ICCV 2023