Ayhan Can Erdur

16 papers Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions.
Pattern Recognit. Lett.
Aswathi Varma, Daniel Scholz, Ayhan Can Erdur, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2026 J jnl
TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth.
CoRR
Valentin Biller, Niklas Bubeck, Lucas Zimmer, Ayhan Can Erdur, Sandeep Nagar, Anke Meyer-Baese, Daniel Rückert, Benedikt Wiestler, Jonas Weidner
2025 — conf
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.
MICCAI (6)
Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert
2025 J jnl
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.
CoRR
Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert
2025 J jnl
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis.
CoRR
Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2025 — conf
MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis.
MICCAI (8)
Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2025 J jnl
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder.
CoRR
Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken
2025 — conf
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder.
MLMI@MICCAI
Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken
2025 — conf
Whole-Body Representation Learning For Competing Preclinical Disease Risk Assessment.
AMAI@MICCAI
Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren
2025 J jnl
Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment.
CoRR
Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren
2024 — conf
Imbalance-aware loss functions improve medical image classification.
MIDL
Daniel Scholz, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2023 — conf
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
BraTS/CrossMoDA@MICCAI
Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken
2023 J jnl
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
CoRR
Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken
2023 J jnl
Explainable 2D Vision Models for 3D Medical Data.
CoRR
Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2023 — conf
Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients.
ISBI
Alexander Ziller, Ayhan Can Erdur, Friederike Jungmann, Daniel Rueckert, Rickmer Braren, Georgios Kaissis
2022 J jnl
Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients.
CoRR
Alexander Ziller, Ayhan Can Erdur, Friederike Jungmann, Daniel Rueckert, Rickmer Braren, Georgios Kaissis