Žan Klaneček

10PUBLICATIONS
20CO-AUTHORS
Context learningSemi- and unsupervised learningSatisfiability and optimisationDeep learningComputational physiology
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Publications (10)

|Jun 29, 2026
Illustration of transfer learning from breast cancer detection to risk prediction: adaptation to local data and local objectives.

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

Brayden Schott, Žan Klaneček, Victor Santoro-Fernandes

|Sep 03, 2025
Using Explainable AI to Characterize Features in the Mirai Mammographic Breast Cancer Risk Prediction Model.

Yao-Kuan Wang, Zan Klanecek, Tobias Wagner

|May 16, 2025
Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CT.

Brayden Schott, Victor Santoro-Fernandes, Zan Klanecek

|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

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Frequent Collaborators

9 joint publications

Robert Jeraj

6 joint publications

Brayden Schott

6 joint publications

Yao-Kuan Wang

6 joint publications

Nicholas W Marshall