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International Journal of Computer Assisted Radiology and Surgery|June 5, 2026
Dynamic uncertainty-level assessment framework for real-time needle tracking in CT-guided surgical environmentsMax Steiger, Mohammad Rezapourian, Marko Rak, et al.
International Journal of Computer Assisted Radiology and Surgery|April 25, 2026
Real-time marker-less needle tracking for CT-guided interventions using multiple RGB camerasMax Steiger, Tonia Mielke, Oleksii Bashkanov, et al.
Computer Methods and Programs in Biomedicine|May 22, 2021
A deep learning approach for 2D ultrasound and 3D CT/MR image registration in liver tumor ablationWei Wei, Xu Haishan, Julian Alpers, et al.
Plos One|June 23, 2020
4D MRI: Robust sorting of free breathing MRI slices for use in interventional settingsGino Gulamhussene, Fabian Joeres, Marko Rak, et al.
Computer Methods and Programs in Biomedicine|July 20, 2019
Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRIMarko Rak, Johannes Steffen, Anneke Meyer, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|August 17, 2025
Multimodal data fusion with irregular PSA kinetics for automated prostate cancer gradingOleksii Bashkanov, Lucas Engelage, Niklas Behnel, et al.
Computer Methods and Programs in Biomedicine|June 4, 2023
Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRIOleksii Bashkanov, Marko Rak, Anneke Meyer, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 19, 2022
Predicting 4D liver MRI for MR-guided interventionsGino Gulamhussene, Anneke Meyer, Marko Rak, et al.
Artificial Intelligence in Medicine|May 22, 2021
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyondAnneke Meyer, Suhita Ghosh, Daniel Schindele, et al.
Scientific Reports|July 11, 2023
Transfer-learning is a key ingredient to fast deep learning-based 4D liver MRI reconstructionGino Gulamhussene, Marko Rak, Oleksii Bashkanov, et al.
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