S. Tayebi Arasteh

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

Jakob Nikolas Kather, J. Chang-Claude, M. Hoffmeister, 2022, medRxiv.

Conversion Between Cubic Bezier Curves and Catmull–Rom Splines

Adam Kalisz, Soroosh Tayebi Arasteh, A. Kalisz, 2020, SN Computer Science.

Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Scientific reports.

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images.

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Radiology.

Automatic Evaluation of Chest Radiographs – The Data Source Matters, But How Much Exactly?

S. Nebelung, D. Truhn, P. Isfort, 2023, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

Automated segmentation of 3D cine cardiovascular magnetic resonance imaging

R. J. van der Geest, D. Truhn, Danielle Frances Pace, 2023, Frontiers in cardiovascular medicine.

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers.

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Radiology.

Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization.

Firas Khader, M. Bode, T. Han, 2024, Radiology.