| Domain adaptation for segmentation of critical structures for prostate cancer therapy A Meyer, A Mehrtash, M Rak, O Bashkanov, B Langbein, A Ziaei, AS Kibel, ... Scientific reports 11 (1), 11480, 2021 | 15 | 2021 |
| Exploiting OpenStreetMap-data for outdoor robotic applications O Bashkanov, M Seidel, M Yakymets, N Daupayev, Y Sharonov, ... 2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE …, 2019 | 10 | 2019 |
| VR multi-user conference room for surgery planning O Bashkanov, P Saalfeld, H Gunasekaran, M Jabaraj, B Preim, T Huber, ... Proceedings of the annual meeting of the German Society of Computer-and …, 2019 | 8 | 2019 |
| Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRI O Bashkanov, M Rak, A Meyer, L Engelage, A Lumiani, R Muschter, ... Computer Methods and Programs in Biomedicine 239, 107624, 2023 | 6 | 2023 |
| 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 | 6 | 2023 |
| Learning Multi-Modal Volumetric Prostate Registration With Weak Inter-Subject Spatial Correspondence O Bashkanov, A Meyer, D Schindele, M Schostak, KD Tönnies, C Hansen, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1817-1821, 2021 | 6 | 2021 |
| 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 | 4 | 2022 |
| Augmenting Prostate MRI Dataset with Synthetic Volumetric Images from Zone-Conditioned Diffusion Generative Model O Bashkanov, M Rak, L Engelage, C Hansen MICCAI Workshop on Deep Generative Models, 160-168, 2024 | | 2024 |
| Enhancing Prostate Cancer Grading by including Chronic Prostatitis Target for Deep Learning Inference on MRI L Engelage, O Bashkanov, A Lumiani, R Muschter, N Behnel, ... European Congress of Radiology-ECR 2024, 2024 | | 2024 |
| 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 |
| Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data O Bashkanov, M Rak, L Engelage, C Hansen Medical Imaging with Deep Learning, 10-12 July 2023, Nashville, TN, USA 227 …, 2023 | | 2023 |
Christian HansenProfessor of Computer Science, University of MagdeburgVerified email at isg.cs.uni-magdeburg.de