Texture-Based Detection of Myositis in Ultrasonographies. - Tim König; Marko Rak; Johannes Steffen; Grit Neumann; Ludwig von Rohden; Klaus D. Tönnies (Bildverarbeitung für die Medizin, 2013)

An Adaptive Subdivision Scheme for Quadratic Programming in Multi-Label Image Segmentation. - Marko Rak; Tim König; Klaus-Dietz Tönnies (BMVC, 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 (VMV, 2013)

Closed-Form Hierarchical Finite Element Models for Part-Based Object Detection. - Marko Rak; Karin Engel; Klaus D. Tönnies (VMV, 2013)

Measurement of the Aortic Diameter in Plain Axial Cardiac Cine MRI. - Marko Rak; Alena-Kathrin Schnurr; Julian Alpers; Klaus-Dietz Tönnies (Bildverarbeitung für die Medizin, 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 (IVAPP, 2015)

Density Difference Detection with Application to Exploratory Visualization. - Marko Rak; Tim König; Johannes Steffen; Dirk Joachim Lehmann; Klaus-Dietz Tönnies (ICPRAM (Selected Papers), 2015)

Spotting Differences Among Observations. - Marko Rak; Tim König; Klaus-Dietz Tönnies (ICPRAM (1), 2015)

Spinal Canal Centerline Extraction in MRI. - Stephan Fensky; Fabian Held; Marko Rak; Klaus-Dietz Tönnies (MIUA, 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)

Image analysis in epidemiological applications. - Klaus D. Tönnies; Oliver Gloger; Marko Rak; Charlotte Winkler; Paul Klemm; Bernhard Preim; Henry Völzke (it Inf. Technol., 2015)

Aorta Segmentation in Axial Cardiac Cine MRI via Graphical Models. - Marko Rak; Julian Alpers; Alena-Kathrin Schnurr; Klaus-Dietz Tönnies (Bildverarbeitung für die Medizin, 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 (ICPRAM, 2016)

A Learning-Free Approach to Whole Spine Vertebra Localization in MRI. - Marko Rak; Klaus-Dietz Tönnies (MICCAI (2), 2016)

On computerized methods for spine analysis in MRI: a systematic review. - Marko Rak; Klaus D. Tönnies (Int. J. Comput. Assist. Radiol. Surg., 2016)

Extracting the Aorta Centerline in Contrast-Enhanced MRI. - Marko Rak; Julian Alpers; Birger Mensel; Klaus-Dietz Tönnies (Bildverarbeitung für die Medizin, 2017)

Star Convex Cuts with Encoding Swaps for Fast Whole-Spine Vertebrae Segmentation in MRI. - Marko Rak; Klaus D. Tönnies (VMV, 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)

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 001 (ISBI, 2018)

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 001 (ISBI, 2019)

Fast Registration for Liver Motion Compensation in Ultrasound-Guided Navigation. - Wei Wei; Haishan Xu; Julian Alpers; Zhang Tianbao; Lei Wang 025; Marko Rak; Christian Hansen 001 (ISBI, 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 001; Klaus Tönnies; Marko Rak (MICCAI (4), 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 001; Klaus-Dietz Tönnies (Comput. Methods Programs Biomed., 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 001 (CoRR, 2019)

Towards Fully Automatic 2D Us to 3D CT/MR Registration: A Novel Segmentation-Based Strategy. - Wei Wei; Marko Rak; Julian Alpers; Christian Hansen 001 (ISBI, 2020)

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 001; Marko Rak (ISBI, 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 001; Marko Rak (Artif. Intell. Medicine, 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 005; Christian Hansen 001 (Comput. Methods Programs Biomed., 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 001 (Comput. Methods Programs Biomed., 2021)

Predicting 4D liver MRI for MR-guided interventions. - Gino Gulamhussene; Anneke Meyer; Marko Rak; Oleksii Bashkanov; Jazan Omari; Maciej Pech; Christian Hansen 001 (Comput. Medical Imaging Graph., 2022)

Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation. - Gino Gulamhussene; Arnab Das; Jonathan Spiegel; Daniel Punzet; Marko Rak; Christian Hansen 001 (Bildverarbeitung für die Medizin, 2023)

Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints. - Gino Gulamhussene; Jonathan Spiegel; Arnab Das; Marko Rak; Christian Hansen 001 (Bildverarbeitung für die Medizin, 2023)

Using Training Samples as Transitive Information Bridges in Predicted 4D MRI. - Gino Gulamhussene; Oleksii Bashkanov; Jazan Omari; Maciej Pech; Christian Hansen 001; Marko Rak (MILLanD@MICCAI, 2023)

Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data. - Oleksii Bashkanov; Marko Rak; Lucas Engelage; Christianus Hansen (MIDL, 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 001 (Comput. Methods Programs Biomed., 2023)

Augmenting Prostate MRI Dataset with Synthetic Volumetric Images from Zone-Conditioned Diffusion Generative Model. - Oleksii Bashkanov; Marko Rak; Lucas Engelage; Christian Hansen 001 (DGM4MICCAI@MICCAI, 2024)