Ayhan Can Erdur

According to our database, Ayhan Can Erdur authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis.

Ayhan Can Erdur, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken

CoRR, April, 2026

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth.

Valentin Biller, Niklas Bubeck, Lucas Zimmer, Ayhan Can Erdur, Sandeep Nagar, Anke Meyer-Baese, Daniel Rückert, Benedikt Wiestler, Jonas Weidner

CoRR, March, 2026

Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions.

Aswathi Varma, Daniel Scholz, Ayhan Can Erdur, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler

Pattern Recognit. Lett., 2026

2025

MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder.

Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken

Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

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

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

Proceedings of the Applications of Medical Artificial Intelligence, 2025

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.

Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis.

Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 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