Alison Deatsch

9PUBLICATIONS
14CO-AUTHORS
Semi- and unsupervised learningComputational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)Deep learningComputational physiologyCancer diagnosis
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Publications (9)

|Oct 08, 2025
InfoOOD: information bottleneck optimization for post hoc medical image out-of-distribution detection.

Brayden Schott, Žan Klaneček, Victor Santoro-Fernandes

|Apr 07, 2025
Sensitivity of a deep-learning-based breast cancer risk prediction model.

Zan Klanecek, Yao-Kuan Wang, Tobias Wagner

|Feb 06, 2025
Impact of pectoral muscle removal on deep-learning-based breast cancer risk prediction.

Zan Klanecek, Yao-Kuan Wang, Tobias Wagner

|Dec 11, 2024
Longitudinal interpretability of deep learning based breast cancer risk prediction.

Zan Klanecek, Yao-Kuan Wang, Tobias Wagner

|Jul 09, 2024
Uncertainty quantification via localized gradients for deep learning-based medical image assessments.

Brayden Schott, Dmitry Pinchuk, Victor Santoro-Fernandes

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