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Marko Rak
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2020 – today
- 2024
- [c25]Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christian Hansen:
Augmenting Prostate MRI Dataset with Synthetic Volumetric Images from Zone-Conditioned Diffusion Generative Model. DGM4MICCAI@MICCAI 2024: 160-168 - 2023
- [j10]Oleksii Bashkanov
, Marko Rak, Anneke Meyer, Lucas Engelage, Agron Lumiani, Rolf Muschter
Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRI. Comput. Methods Programs Biomed. 239: 107624 (2023) - [c24]Gino Gulamhussene, Arnab Das
Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation. Bildverarbeitung für die Medizin 2023: 285-291 - [c23]Gino Gulamhussene, Jonathan Spiegel, Arnab Das
Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints. Bildverarbeitung für die Medizin 2023: 292-298 - [c22]Gino Gulamhussene
Using Training Samples as Transitive Information Bridges in Predicted 4D MRI. MILLanD@MICCAI 2023: 237-245 - [c21]Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christianus Hansen:
Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data. MIDL 2023: 1225-1238 - 2022
- [j9]Gino Gulamhussene
Predicting 4D liver MRI for MR-guided interventions. Comput. Medical Imaging Graph. 101: 102122 (2022) - [i5]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) - 2021
- [j8]Anneke Meyer
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond. Artif. Intell. Medicine 116: 102073 (2021) - [j7]Anneke Meyer, Grzegorz Chlebus
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. Comput. Methods Programs Biomed. 200: 105821 (2021) - [j6]Wei Wei
A deep learning approach for 2D ultrasound and 3D CT/MR image registration in liver tumor ablation. Comput. Methods Programs Biomed. 206: 106117 (2021) - [c20]Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus-Dietz Tönnies, Christian Hansen
Learning Multi-Modal Volumetric Prostate Registration With Weak Inter-Subject Spatial Correspondence. ISBI 2021: 1817-1821 - [i4]Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus Tönnies, Christian Hansen, Marko Rak:
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence. CoRR abs/2102.04938 (2021) - [i3]Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak:
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond. CoRR abs/2104.03840 (2021) - 2020
- [c19]Wei Wei, Marko Rak, Julian Alpers, Christian Hansen
Towards Fully Automatic 2D Us to 3D CT/MR Registration: A Novel Segmentation-Based Strategy. ISBI 2020: 433-437 - [i2]Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen:
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. CoRR abs/2009.11120 (2020)
2010 – 2019
- 2019
- [j5]Marko Rak, Johannes Steffen, Anneke Meyer, Christian Hansen
Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI. Comput. Methods Programs Biomed. 177: 47-56 (2019) - [c18]Anneke Meyer, Marko Rak, Daniel Schindele, Simon Blaschke, Martin Schostak, Andriy Fedorov
Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRI. ISBI 2019: 696-700 - [c17]Wei Wei, Haishan Xu, Julian Alpers, Zhang Tianbao, Lei Wang, Marko Rak, Christian Hansen
Fast Registration for Liver Motion Compensation in Ultrasound-Guided Navigation. ISBI 2019: 1132-1136 - [c16]Philipp Ernst
A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations. MICCAI (4) 2019: 3-11 - [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) - 2018
- [c15]Anneke Meyer, Alireza Mehrtash
Automatic high resolution segmentation of the prostate from multi-planar MRI. ISBI 2018: 177-181 - 2017
- [j4]Marko Rak, Tim König, Klaus D. Tönnies, Mathias Walke, Jens Ricke, Christian Wybranski:
Joint deformable liver registration and bias field correction for MR-guided HDR brachytherapy. Int. J. Comput. Assist. Radiol. Surg. 12(12): 2169-2180 (2017) - [c14]Marko Rak, Julian Alpers, Birger Mensel, Klaus-Dietz Tönnies:
Extracting the Aorta Centerline in Contrast-Enhanced MRI. Bildverarbeitung für die Medizin 2017: 31-36 - [c13]Marko Rak, Klaus D. Tönnies:
Star Convex Cuts with Encoding Swaps for Fast Whole-Spine Vertebrae Segmentation in MRI. VMV 2017: 145-152 - 2016
- [j3]Marko Rak, Klaus D. Tönnies:
On computerized methods for spine analysis in MRI: a systematic review. Int. J. Comput. Assist. Radiol. Surg. 11(8): 1445-1465 (2016) - [c12]Marko Rak, Julian Alpers, Alena-Kathrin Schnurr, Klaus-Dietz Tönnies:
Aorta Segmentation in Axial Cardiac Cine MRI via Graphical Models. Bildverarbeitung für die Medizin 2016: 218-223 - [c11]Johannes Steffen, Marko Rak, Tim König, Klaus-Dietz Tönnies:
Information Efficient Automatic Object Detection and Segmentation using Cosegmentation, Similarity based Clustering, and Graph Label Transfer. ICPRAM 2016: 397-406 - [c10]Marko Rak, Klaus-Dietz Tönnies:
A Learning-Free Approach to Whole Spine Vertebra Localization in MRI. MICCAI (2) 2016: 283-290 - 2015
- [j2]Tim König, Johannes Steffen, Marko Rak, Grit Neumann, Ludwig von Rohden, Klaus D. Tönnies:
Ultrasound texture-based CAD system for detecting neuromuscular diseases. Int. J. Comput. Assist. Radiol. Surg. 10(9): 1493-1503 (2015) - [j1]Klaus D. Tönnies, Oliver Gloger, Marko Rak, Charlotte Winkler, Paul Klemm, Bernhard Preim, Henry Völzke:
Image analysis in epidemiological applications. it Inf. Technol. 57(1): 22-29 (2015) - [c9]Marko Rak, Alena-Kathrin Schnurr
Measurement of the Aortic Diameter in Plain Axial Cardiac Cine MRI. Bildverarbeitung für die Medizin 2015: 293-298 - [c8]Paul Klemm
Interactive Visual Analysis of Lumbar Back Pain - What the Lumbar Spine Tells About Your Life. IVAPP 2015: 85-92 - [c7]Marko Rak, Tim König, Klaus-Dietz Tönnies:
Spotting Differences Among Observations. ICPRAM (1) 2015: 5-13 - [c6]Marko Rak, Tim König, Johannes Steffen, Dirk Joachim Lehmann, Klaus-Dietz Tönnies:
Density Difference Detection with Application to Exploratory Visualization. ICPRAM (Selected Papers) 2015: 17-34 - [c5]Stephan Fensky, Fabian Held, Marko Rak, Klaus-Dietz Tönnies:
Spinal Canal Centerline Extraction in MRI. MIUA 2015: 144-149 - 2013
- [c4]Tim König, Marko Rak, Johannes Steffen, Grit Neumann, Ludwig von Rohden, Klaus D. Tönnies:
Texture-Based Detection of Myositis in Ultrasonographies. Bildverarbeitung für die Medizin 2013: 81-86 - [c3]Marko Rak, Tim König, Klaus-Dietz Tönnies:
An Adaptive Subdivision Scheme for Quadratic Programming in Multi-Label Image Segmentation. BMVC 2013 - [c2]Paul Klemm
Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data. VMV 2013: 121-128 - [c1]Marko Rak, Karin Engel, Klaus D. Tönnies:
Closed-Form Hierarchical Finite Element Models for Part-Based Object Detection. VMV 2013: 137-144
Coauthor Index
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