Ayhan Can Erdur

According to our database, Ayhan Can Erdur authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment.

Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren

CoRR, August, 2025

2024

Imbalance-aware loss functions improve medical image classification.

Daniel Scholz, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

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

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.

Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023