Marko Rak

According to our database, Marko Rak authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Augmenting Prostate MRI Dataset with Synthetic Volumetric Images from Zone-Conditioned Diffusion Generative Model.

Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christian Hansen

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

2023

Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRI.

Oleksii Bashkanov, Marko Rak, Anneke Meyer, Lucas Engelage, Agron Lumiani, Rolf Muschter, Christian Hansen

Comput. Methods Programs Biomed., September, 2023

Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data.

Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christianus Hansen

Proceedings of the Medical Imaging with Deep Learning, 2023

Using Training Samples as Transitive Information Bridges in Predicted 4D MRI.

Gino Gulamhussene, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen, Marko Rak

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints.

Gino Gulamhussene, Jonathan Spiegel, Arnab Das, Marko Rak, Christian Hansen

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation.

Gino Gulamhussene, Arnab Das, Jonathan Spiegel, Daniel Punzet, Marko Rak, Christian Hansen

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Predicting 4D liver MRI for MR-guided interventions.

Gino Gulamhussene, Anneke Meyer, Marko Rak, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen

Comput. Medical Imaging Graph., 2022

2021

A deep learning approach for 2D ultrasound and 3D CT/MR image registration in liver tumor ablation.

Wei Wei, Haishan Xu, Julian Alpers, Marko Rak, Christian Hansen

Comput. Methods Programs Biomed., 2021

Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI.

Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen

Comput. Methods Programs Biomed., 2021

Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond.

Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak

Artif. Intell. Medicine, 2021

Learning Multi-Modal Volumetric Prostate Registration With Weak Inter-Subject Spatial Correspondence.

Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus-Dietz Tönnies, Christian Hansen, Marko Rak

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Towards Fully Automatic 2D Us to 3D CT/MR Registration: A Novel Segmentation-Based Strategy.

Wei Wei, Marko Rak, Julian Alpers, Christian Hansen

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings.

Gino Gulamhussene, Fabian Joeres, Marko Rak, Maciej Pech, Christian Hansen

CoRR, 2019

Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI.

Marko Rak, Johannes Steffen, Anneke Meyer, Christian Hansen, Klaus-Dietz Tönnies

Comput. Methods Programs Biomed., 2019

A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations.

Philipp Ernst, Georg Hille, Christian Hansen, Klaus Tönnies, Marko Rak

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Fast Registration for Liver Motion Compensation in Ultrasound-Guided Navigation.

Wei Wei, Haishan Xu, Julian Alpers, Zhang Tianbao, Lei Wang, Marko Rak, Christian Hansen

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRI.

Anneke Meyer, Marko Rak, Daniel Schindele, Simon Blaschke, Martin Schostak, Andriy Fedorov, Christian Hansen

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Automatic high resolution segmentation of the prostate from multi-planar MRI.

Anneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare M. Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Joint deformable liver registration and bias field correction for MR-guided HDR brachytherapy.

Marko Rak, Tim König, Klaus D. Tönnies, Mathias Walke, Jens Ricke, Christian Wybranski

Int. J. Comput. Assist. Radiol. Surg., 2017

Star Convex Cuts with Encoding Swaps for Fast Whole-Spine Vertebrae Segmentation in MRI.

Marko Rak, Klaus D. Tönnies

Proceedings of the 22nd International Symposium on Vision, Modeling, and Visualization, 2017

Extracting the Aorta Centerline in Contrast-Enhanced MRI.

Marko Rak, Julian Alpers, Birger Mensel, Klaus-Dietz Tönnies

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

On computerized methods for spine analysis in MRI: a systematic review.

Marko Rak, Klaus D. Tönnies

Int. J. Comput. Assist. Radiol. Surg., 2016

A Learning-Free Approach to Whole Spine Vertebra Localization in MRI.

Marko Rak, Klaus-Dietz Tönnies

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Information Efficient Automatic Object Detection and Segmentation using Cosegmentation, Similarity based Clustering, and Graph Label Transfer.

Johannes Steffen, Marko Rak, Tim König, Klaus-Dietz Tönnies

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Aorta Segmentation in Axial Cardiac Cine MRI via Graphical Models.

Marko Rak, Julian Alpers, Alena-Kathrin Schnurr, Klaus-Dietz Tönnies

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015

Image analysis in epidemiological applications.

Klaus D. Tönnies, Oliver Gloger, Marko Rak, Charlotte Winkler, Paul Klemm, Bernhard Preim, Henry Völzke

it Inf. Technol., 2015

Ultrasound texture-based CAD system for detecting neuromuscular diseases.

Tim König, Johannes Steffen, Marko Rak, Grit Neumann, Ludwig von Rohden, Klaus D. Tönnies

Int. J. Comput. Assist. Radiol. Surg., 2015

Spinal Canal Centerline Extraction in MRI.

Stephan Fensky, Fabian Held, Marko Rak, Klaus-Dietz Tönnies

Proceedings of the Medical Image Understanding and Analysis, 2015

Spotting Differences Among Observations.

Marko Rak, Tim König, Klaus-Dietz Tönnies

Proceedings of the ICPRAM 2015, 2015

Density Difference Detection with Application to Exploratory Visualization.

Marko Rak, Tim König, Johannes Steffen, Dirk Joachim Lehmann, Klaus-Dietz Tönnies

Proceedings of the Pattern Recognition Applications and Methods, 2015

Interactive Visual Analysis of Lumbar Back Pain - What the Lumbar Spine Tells About Your Life.

Paul Klemm, Sylvia Glaßer, Kai Lawonn, Marko Rak, Henry Völzke, Katrin Hegenscheid, Bernhard Preim

Proceedings of the IVAPP 2015, 2015

Measurement of the Aortic Diameter in Plain Axial Cardiac Cine MRI.

Marko Rak, Alena-Kathrin Schnurr, Julian Alpers, Klaus-Dietz Tönnies

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2013

Closed-Form Hierarchical Finite Element Models for Part-Based Object Detection.

Marko Rak, Karin Engel, Klaus D. Tönnies

Proceedings of the 18th International Workshop on Vision, Modeling, and Visualization, 2013

Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data.

Paul Klemm, Kai Lawonn, Marko Rak, Bernhard Preim, Klaus D. Tönnies, Katrin Hegenscheid, Henry Völzke, Steffen Oeltze

Proceedings of the 18th International Workshop on Vision, Modeling, and Visualization, 2013

An Adaptive Subdivision Scheme for Quadratic Programming in Multi-Label Image Segmentation.

Marko Rak, Tim König, Klaus-Dietz Tönnies

Proceedings of the British Machine Vision Conference, 2013

Texture-Based Detection of Myositis in Ultrasonographies.

Tim König, Marko Rak, Johannes Steffen, Grit Neumann, Ludwig von Rohden, Klaus D. Tönnies

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013