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Gino Gulamhussene, M.Sc.Research ScientistFaculty of Computer ScienceOtto-von-Guericke University Magdeburg |
Scientific Publications
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| Gulamhussene, G., Bashkanov, O., Omari, J., Pech, M., Hansen, C., Rak, M. (2023) |
| Using Training Samples as Transitive Information Bridges in Predicted 4D MRI |
| MICCAI Workshop on Medical Image Learning with noisy and Limited Data (MILLanD), pp. 237-245 |
Paper 
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| Gulamhussene, G., Rak, M., Bashkanov, O., Joeres, F., Omari, J., Pech, M., Hansen, C. (2023) |
| Transfer-Learning is a Key Ingredient to Fast Deep Learning-Based 4D Liver MRI Reconstruction |
| Nature Scientific Reports, 13, pp. 11227 |
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| Gulamhussene, G., Meyer, A., Rak, M., Bashkanov, O., Omari, J., Pech, M., Hansen, C. (2022) |
| Predicting 4D Liver MRI for MR-guided Interventions |
| Computerized Medical Imaging and Graphics, 101, pp. 102122 |
Download test data set  |
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| Gulamhussene, G., Das, A., Spiegel, J., Punzet, D., Rak, M., Hansen, C. (2023) |
| Needle Tip Tracking during CT-guided Interventions using Fuzzy Segmentation |
| German Workshop on Medical Image Computing, pp. 285–291 |
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| Gulamhussene, G., Spiegel, J., Das, A., Rak, M., Hansen, C. (2023) |
| Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints |
| German Workshop on Medical Image Computing, pp. 292–298 |
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| Gulamhussene, G., Joeres, F., Rak, M., Pech, M., Hansen, C. (2020) |
| 4D MRI: Robust Sorting of Free Breathing MRI Slices for use in Interventional Settings |
| PLOS ONE, 15(6), pp. e0235175 |
| Download test data set |