🤝 Open to Collab
Tristan
Kirscher
AI & ML interests
computer vision, uncertainty quantification, trustworthy AI, medical imaging
Recent Activity
upvoted a paper about 13 hours ago
Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026 submitted a paper about 19 hours ago
Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026 authored a paper about 21 hours ago
Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026Organizations
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Rethinking Post-Hoc Calibration in Semantic Segmentation
Paper • 2607.01902 • Published • 1 -
Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
Paper • 2605.18329 • Published • 2 -
TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation
Paper • 2604.15950 • Published • 1
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Rethinking Post-Hoc Calibration in Semantic Segmentation
Paper • 2607.01902 • Published • 1 -
Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
Paper • 2605.18329 • Published • 2 -
TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation
Paper • 2604.15950 • Published • 1
