| 4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings G Gulamhussene, F Joeres, M Rak, M Pech, C Hansen PloS one 15 (6), e0235175, 2020 | 4 | 2020 |
| 2D MRI liver slices with navigator frames. A test data set for image based 4D MRI reconstruction G Gulamhussene, F Joeres, M Rak, C Lübeck, M Pech, C Hansen https://doi. org/10.1371/journal. pone. 0235175, 2019 | 4 | 2019 |
| Transfer-learning is a key ingredient to fast deep learning-based 4D liver MRI reconstruction G Gulamhussene, M Rak, O Bashkanov, F Joeres, J Omari, M Pech, ... Scientific Reports 13 (1), 11227, 2023 | 3 | 2023 |
| Predicting 4D liver MRI for MR-guided interventions G Gulamhussene, A Meyer, M Rak, O Bashkanov, J Omari, M Pech, ... Computerized Medical Imaging and Graphics 101, 102122, 2022 | 3 | 2022 |
| Using Training Samples as Transitive Information Bridges in Predicted 4D MRI G Gulamhussene, O Bashkanov, J Omari, M Pech, C Hansen, M Rak Workshop on Medical Image Learning with Limited and Noisy Data, 237-245, 2023 | | 2023 |
| Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints G Gulamhussene, J Spiegel, A Das, M Rak, C Hansen BVM Workshop, 292-298, 2023 | | 2023 |
| Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation G Gulamhussene, A Das, J Spiegel, D Punzet, M Rak, C Hansen BVM Workshop, 285-291, 2023 | | 2023 |
| Automatically producing an optical blend mask individually adapted to a projector and its position to a projection surface of the projection system D Beier, D Gulamhussene, C Bode, G Gulamhussene, C Steinmann US Patent 10,944,944, 2021 | | 2021 |
| Method for Automatically Producing an Optical Blend Mask D Beier, D Gulamhussene, C Bode, G Gulamhussene, C Steinmann US Patent App. 16/462,369, 2019 | | 2019 |
| Data-Driven Spine Detection for Multi-Sequence MRI D Kottke, G Gulamhussene, K Tönnies Bildverarbeitung für die Medizin 2015: Algorithmen-Systeme-Anwendungen …, 2015 | | 2015 |
Marko RakOtto-von-Guericke UniversityVerified email at isg.cs.ovgu.de
