Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients. - Alexander Ziller; Ayhan Can Erdur; Friederike Jungmann; Daniel Rueckert; Rickmer Braren; Georgios Kaissis (ISBI, 2023)

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions. - Ayhan Can Erdur; Daniel Scholz 005; Josef A. Buchner; Stephanie E. Combs; Daniel Rueckert; Jan C. Peeken (BraTS/CrossMoDA@MICCAI, 2023)

Explainable 2D Vision Models for 3D Medical Data. - Alexander Ziller; Alp Güvenir; Ayhan Can Erdur; Tamara T. Mueller; Philip Müller; Friederike Jungmann; Johannes Brandt; Jan Peeken; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Imbalance-aware loss functions improve medical image classification. - Daniel Scholz 005; Ayhan Can Erdur; Josef A. Buchner; Jan C. Peeken; Daniel Rueckert; Benedikt Wiestler (MIDL, 2024)

Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment. - Dmitrii Seletkov; Sophie Starck; Ayhan Can Erdur; Yundi Zhang; Daniel Rueckert; Rickmer Braren (CoRR, 2025)