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ORCIDGino Gulamhussene
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Journal Articles
- 2022
[j1]Gino Gulamhussene
, Anneke Meyer, Marko Rak, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen:
Predicting 4D liver MRI for MR-guided interventions. Comput. Medical Imaging Graph. 101: 102122 (2022)
Conference and Workshop Papers
- 2023
- [c4]Gino Gulamhussene, Arnab Das, Jonathan Spiegel, Daniel Punzet, Marko Rak, Christian Hansen:
Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation. Bildverarbeitung für die Medizin 2023: 285-291 - [c3]Gino Gulamhussene, Jonathan Spiegel, Arnab Das, Marko Rak, Christian Hansen:
Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints. Bildverarbeitung für die Medizin 2023: 292-298 - [c2]Gino Gulamhussene, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen, Marko Rak:
Using Training Samples as Transitive Information Bridges in Predicted 4D MRI. MILLanD@MICCAI 2023: 237-245 - 2015
- [c1]Daniel Kottke, Gino Gulamhussene, Klaus D. Tönnies:
Data-Driven Spine Detection for Multi-Sequence MRI. Bildverarbeitung für die Medizin 2015: 5-10
Informal and Other Publications
- 2022
- [i2]Gino Gulamhussene, Anneke Meyer, Marko Rak, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen:
Predicting 4D Liver MRI for MR-guided Interventions. CoRR abs/2202.12628 (2022) - 2019
- [i1]Gino Gulamhussene, Fabian Joeres, Marko Rak, Maciej Pech, Christian Hansen:
4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings. CoRR abs/1910.01902 (2019)
Coauthor Index
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