Ayhan Can Erdur

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Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Alexander ZillerTechnische Universität MünchenVerified email at tum.de
Jan C. PeekenGroup Leader "Artificial Intelligence and Radiomics in Radiation Oncology", Technical University of Munich and Institute of Radiation Medicine, Helmholtz Zentrum MünchenVerified email at tum.de
Daniel ScholzPhD Student, Technical University of MunichVerified email at mytum.de

Ayhan Can Erdur

Verified email at tum.de


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Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients A Ziller, AC Erdur, F Jungmann, D Rueckert, R Braren, G Kaissis 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023	1	2023
Imbalance-aware loss functions improve medical image classification D Scholz, AC Erdur, JA Buchner, JC Peeken, D Rueckert, B Wiestler Medical Imaging with Deep Learning, 2024		2024
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions AC Erdur, D Scholz, JA Buchner, SE Combs, D Rueckert, JC Peeken arXiv preprint arXiv:2310.02829, 2023		2023
Explainable 2D Vision Models for 3D Medical Data A Ziller, A Güvenir, AC Erdur, TT Mueller, P Müller, F Jungmann, J Brandt, ... arXiv preprint arXiv:2307.06614, 2023		2023

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