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cs.CV2026
Beyond Boundary Noise: Aggregated Aleatoric Uncertainty Fails to Capture Presence Ambiguity in 3D Lung Nodule Segmentation
Simon Baur, Arne Schernich, Ekin Böke +2
Uncertainty estimation is critical for the safe clinical deployment of deep learning in medical image segmentation, with aleatoric uncertainty theoretically designed to capture irr…
cs.CV2025
On the effectiveness of multimodal privileged knowledge distillation in two vision transformer based diagnostic applications
Simon Baur, Alexandra Benova, Emilio Dolgener Cantú +1
Deploying deep learning models in clinical practice often requires leveraging multiple data modalities, such as images, text, and structured data, to achieve robust and trustworthy…