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Marko Rak
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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
552021
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
542019
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
442019
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
412018
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
332013
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
312021
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
312015
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
282016
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
252013
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
242021
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
152021
Deformable part models for object detection in medical images
K Toennies, M Rak, K Engel
BioMedical Engineering OnLine 13, 1-25, 2014
142014
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
132019
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
112019
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
112015
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
112015
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
102016
PROSTATEx zone segmentations [Dataset]
A Meyer, D Schindele, DF von Reibnitz, M Rak, M Schostak, C Hansen
The Cancer Imaging Archive, 131, 2020
82020
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
72023
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
62021
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