Data-Driven Spine Detection for Multi-Sequence MRI. - Daniel Kottke; Gino Gulamhussene; Klaus D. Tönnies (Bildverarbeitung für die Medizin, 2015)

4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings. - Gino Gulamhussene; Fabian Joeres; Marko Rak; Maciej Pech; Christian Hansen 001 (CoRR, 2019)

Predicting 4D liver MRI for MR-guided interventions. - Gino Gulamhussene; Anneke Meyer; Marko Rak; Oleksii Bashkanov; Jazan Omari; Maciej Pech; Christian Hansen 001 (Comput. Medical Imaging Graph., 2022)

Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation. - Gino Gulamhussene; Arnab Das; Jonathan Spiegel; Daniel Punzet; Marko Rak; Christian Hansen 001 (Bildverarbeitung für die Medizin, 2023)

Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints. - Gino Gulamhussene; Jonathan Spiegel; Arnab Das; Marko Rak; Christian Hansen 001 (Bildverarbeitung für die Medizin, 2023)

Using Training Samples as Transitive Information Bridges in Predicted 4D MRI. - Gino Gulamhussene; Oleksii Bashkanov; Jazan Omari; Maciej Pech; Christian Hansen 001; Marko Rak (MILLanD@MICCAI, 2023)