Marko Rak

发表

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

Purang Abolmaesumi, Anneke Meyer, Alireza Mehrtash, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Aorta Segmentation in Axial Cardiac Cine MRI via Graphical Models

Klaus D. Tönnies, Marko Rak, Julian Alpers, 2016, Bildverarbeitung für die Medizin.

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

Klaus D. Tönnies, Marko Rak, 2016, International Journal of Computer Assisted Radiology and Surgery.

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

Kai Lawonn, Bernhard Preim, Sylvia Glaßer, 2015, IVAPP.

Spinal Canal Centerline Extraction in MRI

Klaus D. Tönnies, Marko Rak, Fabian Held, 2015, MIUA.

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

Klaus D. Tönnies, Marko Rak, Karin Engel, 2013, VMV.

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

Klaus D. Tönnies, Marko Rak, Georg Hille, 2019, MICCAI.

Extracting the Aorta Centerline in Contrast-Enhanced MRI

Klaus D. Tönnies, Marko Rak, Julian Alpers, 2017, Bildverarbeitung für die Medizin.

Deformable part models for object detection in medical images

Marko Rak, Karin Engel, Klaus Toennies, 2014, Biomedical engineering online.

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

Klaus D. Tönnies, Marko Rak, Jens Ricke, 2017, International Journal of Computer Assisted Radiology and Surgery.

Spotting Differences Among Observations

Klaus D. Tönnies, Marko Rak, Tim König, 2015, ICPRAM.

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

Klaus D. Tönnies, Marko Rak, 2017, VMV.

Image analysis in epidemiological applications

Bernhard Preim, Klaus D. Tönnies, Marko Rak, 2015, it Inf. Technol..

Fast Registration for Liver Motion Compensation in Ultrasound-Guided Navigation

Wei Wei, Marko Rak, Christian Hansen, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

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

Klaus D. Tönnies, Anneke Meyer, Marko Rak, 2019, Comput. Methods Programs Biomed..

Ultrasound texture-based CAD system for detecting neuromuscular diseases

Klaus D. Tönnies, Marko Rak, Johannes Steffen, 2015, International Journal of Computer Assisted Radiology and Surgery.

Density Difference Detection with Application to Exploratory Visualization

Klaus D. Tönnies, Dirk J. Lehmann, Marko Rak, 2015, ICPRAM.

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

Klaus D. Tönnies, Marko Rak, Johannes Steffen, 2016, ICPRAM.

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

Kai Lawonn, Bernhard Preim, Klaus D. Tönnies, 2013, VMV.

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

Hans Meine, Bram van Ginneken, Horst K. Hahn, 2020, Comput. Methods Programs Biomed..

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

Klaus D. Tönnies, Marko Rak, 2016, MICCAI.

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

Klaus D. Tönnies, Marko Rak, Tim König, 2013, BMVC.

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

Marko Rak, Christian Hansen, Gino Gulamhussene, 2019, PloS one.

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, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

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

Wei Wei, Marko Rak, Christian Hansen, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Texture-Based Detection of Myositis in Ultrasonographies

Klaus D. Tönnies, Marko Rak, Johannes Steffen, 2013, Bildverarbeitung für die Medizin.

Measurement of the Aortic Diameter in Plain Axial Cardiac Cine MRI

Klaus D. Tönnies, Marko Rak, Julian Alpers, 2015, Bildverarbeitung für die Medizin.

Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond

Marko Rak, Daniel Schindele, Martin Schostak, 2021, Artif. Intell. Medicine.

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

Hans Meine, Bram van Ginneken, Horst K. Hahn, 2020, Comput. Methods Programs Biomed..

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

Marko Rak, Julian Alpers, Christian Hansen, 2021, Comput. Methods Programs Biomed..

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

Klaus D. Tönnies, Marko Rak, Daniel Schindele, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).