Pölsterl, Sebastian

7 publications

MIDL 2024 From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger

AAAI 2024 Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger

CVPR 2022 Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger

ECML-PKDD 2020 Adversarial Learned Molecular Graph Inference and Generation Sebastian Pölsterl, Christian Wachinger

MLOSS 2020 Scikit-Survival: A Library for Time-to-Event Analysis Built on Top of Scikit-Learn Sebastian Pölsterl

ECML-PKDD 2016 Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography Rustem Bekmukhametov, Sebastian Pölsterl, Thomas Allmendinger, Minh-Duc Doan, Nassir Navab

ECML-PKDD 2015 Fast Training of Support Vector Machines for Survival Analysis Sebastian Pölsterl, Nassir Navab, Amin Katouzian