| Towards patient-individual PI-RADS v2 sector map: CNN for automatic segmentation of prostatic zones from T2-weighted RI A Meyer, M Rak, D Schindele, S Blaschke, M Schostak, A Fedorov, ... IEEE International Symposium on Biomedical Imaging, 696-700, 2019 | 46 | 2019 |
| Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI A Meyer, G Chlebus, M Rak, D Schindele, M Schostak, B van Ginneken, ... Computer Methods and Programs in Biomedicine 200, 105821, 2021 | 43 | 2021 |
| Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI M Rak, J Steffen, A Meyer, C Hansen, KD Tönnies Computer Methods and Programs in Biomedicine (CMPB), 47-56, 2019 | 40 | 2019 |
| Automatic High Resolution Segmentation of the Prostate from Multi-Planar MRI A Meyer, A Mehrtash, M Rak, D Schindele, M Schostak, CM Tempany, ... IEEE International Symposium on Biomedical Imaging, 177-181, 2018 | 37 | 2018 |
| Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data. P Klemm, K Lawonn, M Rak, B Preim, KD Tönnies, K Hegenscheid, ... International Workshop on Vision, Modeling and Visualization, 121-128, 2013 | 32 | 2013 |
| Ultrasound texture-based CAD system for detecting neuromuscular diseases T König, J Steffen, M Rak, G Neumann, L von Rohden, KD Tönnies International journal of computer assisted radiology and surgery 10, 1493-1503, 2015 | 28 | 2015 |
| A deep learning approach for 2D ultrasound and 3D CT/MR image registration in liver tumor ablation W Wei, X Haishan, J Alpers, M Rak, C Hansen Computer Methods and Programs in Biomedicine (CMPB), to appear, 2021 | 26 | 2021 |
| On computerized methods for spine analysis in MRI: a systematic review M Rak, KD Tönnies International journal of computer assisted radiology and surgery 11, 1445-1465, 2016 | 26 | 2016 |
| Closed-form hierarchical finite element models for part-based object detection M Rak, K Engel, KD Tönnies International Workshop on Vision, Modeling and Visualization, 137-144, 2013 | 25 | 2013 |
| Uncertainty-aware temporal self-learning (UATS): semi-supervised learning for segmentation of prostate zones and beyond A Meyer, S Ghosh, D Schindele, M Schostak, S Stober, C Hansen, M Rak Artificial Intelligence in Medicine (AIM), 2021 | 20 | 2021 |
| Domain adaptation for segmentation of critical structures for prostate cancer therapy A Meyer, A Mehrtash, M Rak, B Langbein, A Ziaei, A Kibel, C Tempany, ... Nature Scientific Reports (NSR), to appear, 2021 | 14 | 2021 |
| Deformable part models for object detection in medical images K Toennies, M Rak, K Engel BioMedical Engineering OnLine 13, 1-25, 2014 | 14 | 2014 |
| A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations P Ernst, G Hille, C Hansen, KD Tönnies, M Rak Medical Image Computing and Computer Assisted Intervention (MICCAI), 3-11, 2019 | 11 | 2019 |
| Image analysis in epidemiological applications KD Toennies, O Gloger, M Rak, C Winkler, P Klemm, B Preim, H Völzke it-Information Technology 57 (1), 22-29, 2015 | 11 | 2015 |
| Fast registration for liver motion compensation in ultrasound-guided navigation W Wei, H Xu, J Alpers, T Zhang, M Rak, L Wang, C Hansen IEEE International Symposium on Biomedical Imaging, 1132-1136, 2019 | 10 | 2019 |
| A Learning-free Approach to Whole Spine Vertebra Localization in MRI M Rak, KD Tönnies International Conference on Medical Image Computing and Computer Assisted …, 2016 | 10 | 2016 |
| Interactive visual analysis of lumbar back pain-what the lumbar spine tells about your life P Klemm, S Glaßer, K Lawonn, M Rak, H Völzke, K Hegenscheid, B Preim International Conference on Information Visualization Theory and …, 2015 | 10 | 2015 |
| 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 |
| Towards fully automatic 2D US to 3D CT/MR registration: a novel segmentation-based strategy W Wei, M Rak, J Alpers, C Hansen IEEE International Symposium on Biomedical Imaging, 433-437, 2020 | 5 | 2020 |
| 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 | 4 | 2023 |
Christian HansenUniversity of Magdeburg在 isg.cs.uni-magdeburg.de 的电子邮件经过验证
