Get started
Author

Ayhan Can Erdur

Observed names: A.C. Erdur, Can Erdur, Erdur, Ayhan Can
ORCID: 0009-0006-0290-0434
Observed ORCID: 0009-0006-0290-0434
OpenAlex ID: A5041700318
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives
2024 · Ayhan Can Erdur, Daniel Rusche, et al. · Strahlentherapie und Onkologie · 70
Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis
2026 · Erdur, Ayhan Can, Scholz, Daniel, et al. · arXiv (Cornell University) · 6
PDF
MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis
2025 · Daniel Scholz, Ayhan Can Erdur, et al. · Lecture notes in computer science · 5
PDF
TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth
2026 · Valentin Biller, Niklas Bubeck, et al. · Lecture notes in computer science · 3
PDF
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder
2026 · Ayhan Can Erdur, Christian Beischl, et al. · Lecture notes in computer science · 3
PDF
Random Convolutions for Domain Generalization of Deep Learning–based Medical Image Segmentation Models
2025 · Daniel Scholz, Ayhan Can Erdur, et al. · Radiology Artificial Intelligence · 3
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
2025 · Daniel Scholz, Ayhan Can Erdur, et al. · Lecture notes in computer science · 3
PDF
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions
2024 · Ayhan Can Erdur, Daniel Scholz, et al. · Lecture notes in computer science · 3
PDF
Improving risk assessment of local failure in brain metastases patients using vision transformers − A multicentric development and validation study
2025 · Ayhan Can Erdur, Daniel Scholz, et al. · Radiotherapy and Oncology · 2
Interpretable 2D Vision Models for 3D Medical Images
2023 · Ziller, Alexander, Erdur, Ayhan Can, et al. · arXiv (Cornell University) · 2
PDF
SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data
2026 · Yavuz, Muhammet Sami, Erdur, Ayhan Can, et al. · arXiv (Cornell University) · 1
PDF
Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions
2025 · Aswathi Varma, Daniel Scholz, et al. · Pattern Recognition Letters · 1
The Clinical Usefulness of Modern Prompt-Based Foundation Models for 3D Segmentation
2025 · A.C. Erdur, D. Scholz, et al. · International Journal of Radiation Oncology*Biology*Physics · 1
PDF
Vision Foundation Models for Multi-Modal Medical Image Classification
2026 · Daniel Scholz, Ayhan Can Erdur, et al. · Research Square
PDF
A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
2026 · Abel, Simon Vincent, Hillenhagen, Heiko, et al. · arXiv (Cornell University)
PDF
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis
2026 · Valentin Biller, Lucas Zimmer, et al. · Lecture notes in computer science
PDF
Whole-Body Representation Learning For Competing Preclinical Disease Risk Assessment
2026 · Dmitrii Seletkov, Sophie Starck, et al. · Lecture notes in computer science
PDF
Response to commentary on “Improving risk assessment of local failure in brain metastases patients using vision transformers − A multicentric development and validation study” by Zhang et al
2025 · Ayhan Can Erdur, Jan C. Peeken · Radiotherapy and Oncology
Independent Benchmarking of Prompt-Based Medical Segmentation Models
2025 · Ayhan Can Erdur, Daniel Scholz, et al. · Research Square
533: Deep Learning based prediction of time to post-therapy local failure in brain metastasis patients
2024 · Ayhan Can Erdur, Daniel Scholz, et al. · Radiotherapy and Oncology
Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients
2023 · Alexander Ziller, Ayhan Can Erdur, et al. · IEEE International Symposium on Biomedical Imaging (ISBI)
PDF
Works count: 22
Citation count: 103
H-index: 3
I10-index: 1
Year
Topic
Type