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Jens von Berg
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2020 – today
- 2022
- [c37]Sven Krönke, Jens von Berg, Matthias Brück, Daniel Bystrov, André Gooßen, Tim Harder, Bernd Lundt, Jan Marek May, Nataly Wieberneit, Tobias Wissel, Omar Hertgers, Hildo J. Lamb, Stewart Young:
CNN-based pose estimation for assessing quality of ankle-joint X-ray images. Image Processing 2022 - 2020
- [c36]Jens von Berg, Sven Krönke, André Gooßen, Daniel Bystrov, Matthias Brück, Tim Harder, Nataly Wieberneit, Stewart Young:
Robust chest x-ray quality assessment using convolutional neural networks and atlas regularization. Image Processing 2020: 113131L - [c35]Christian Bürger, Jens von Berg, Astrid Franz, Tobias Klinder, Cristian Lorenz, Matthias Lenga:
Combining deep learning and model-based segmentation for labeled spine CT segmentation. Image Processing 2020: 113131C
2010 – 2019
- 2019
- [c34]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification? Bildverarbeitung für die Medizin 2019: 184 - [c33]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? ISBI 2019: 1362-1366 - [c32]Alexander Oliver Mader, Cristian Lorenz, Jens von Berg, Carsten Meyer:
Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging. MICCAI (6) 2019: 384-392 - 2018
- [j8]Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer:
Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field. Comput. Vis. Image Underst. 176-177: 45-53 (2018) - [c31]Matthias Lenga, Tobias Klinder, Christian Bürger, Jens von Berg, Astrid Franz, Cristian Lorenz:
Deep Learning Based Rib Centerline Extraction and Labeling. MSKI@MICCAI 2018: 99-113 - [c30]Alexander Oliver Mader, Jens von Berg, Alexander Fabritz, Cristian Lorenz, Carsten Meyer:
Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement. MICCAI (2) 2018: 562-570 - [c29]Jens von Berg, Tobias Klinder, Cristian Lorenz:
Model based rib-cage unfolding for trauma CT. Image Processing 2018: 105742E - [c28]Alexander Oliver Mader, Jens von Berg, Cristian Lorenz, Carsten Meyer:
A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets. PGM 2018: 249-259 - [i2]Matthias Lenga, Tobias Klinder, Christian Bürger, Jens von Berg, Astrid Franz, Cristian Lorenz:
Deep Learning Based Rib Centerline Extraction and Labeling. CoRR abs/1809.07082 (2018) - [i1]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification? CoRR abs/1810.07500 (2018) - 2017
- [c27]Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer:
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field. GRAIL/MFCA/MICGen@MICCAI 2017: 64-75 - 2016
- [j7]Jens von Berg, Stewart Young, Heike Carolus, Robin Wolz, Axel Saalbach, Alberto Hidalgo, Ana Giménez, Tomás Franquet:
A novel bone suppression method that improves lung nodule detection. Int. J. Comput. Assist. Radiol. Surg. 11(4): 641-655 (2016) - [c26]Jens von Berg, Claire Levrier, Heike Carolus, Stewart Young, Axel Saalbach, Patrick Laurent, Raoul Florent:
Decomposing the bony thorax in X-ray images. ISBI 2016: 1068-1071 - 2012
- [c25]Heike Ruppertshofen, Thomas Bülow, Jens von Berg, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
A multi-dimensional model for localization of highly variable objects. Image Processing 2012: 83142L - 2011
- [j6]Olivier Ecabert, Jochen Peters, Matthew J. Walker, Thomas Ivanc, Cristian Lorenz, Jens von Berg, Jonathan Lessick, Mani Vembar, Jürgen Weese:
Segmentation of the heart and great vessels in CT images using a model-based adaptation framework. Medical Image Anal. 15(6): 863-876 (2011) - [c24]Jens von Berg, Jalda Dworzak, Tobias Klinder, Dirk Manke, Adrian Kreth, Hans Lamecker, Stefan Zachow, Cristian Lorenz:
Temporal subtraction of chest radiographs compensating pose differences. Image Processing 2011: 79620U - 2010
- [j5]Jalda Dworzak, Hans Lamecker, Jens von Berg, Tobias Klinder, Cristian Lorenz, Dagmar Kainmüller, Heiko Seim, Hans-Christian Hege, Stefan Zachow:
3D reconstruction of the human rib cage from 2D projection images using a statistical shape model. Int. J. Comput. Assist. Radiol. Surg. 5(2): 111-124 (2010) - [c23]Sven Kabus, Tobias Klinder, Jens von Berg, Cristian Lorenz:
Functional Non-rigid Registration Validation: A CT Phantom Study. WBIR 2010: 116-127
2000 – 2009
- 2008
- [j4]Olivier Ecabert, Jochen Peters, Hauke Schramm, Cristian Lorenz, Jens von Berg, Matthew J. Walker, Mani Vembar, Mark E. Olszewski, Krishna Subramanyan, Guy Lavi, Jürgen Weese:
Automatic Model-Based Segmentation of the Heart in CT Images. IEEE Trans. Medical Imaging 27(9): 1189-1201 (2008) - [c22]Thomas Blaffert, Hans Barschdorf, Jens von Berg, Sebastian P. M. Dries, Astrid Franz, Tobias Klinder, Cristian Lorenz, Steffen Renisch, Rafael Wiemker:
Lung lobe modeling and segmentation with individualized surface meshes. Image Processing 2008: 69141I - [c21]Tobias Klinder, Cristian Lorenz, Jens von Berg, Steffen Renisch, Thomas Blaffert, Jörn Ostermann:
4DCT image-based lung motion field extraction and analysis. Image Processing 2008: 69141L - [c20]Torbjørn Vik, Sven Kabus, Jens von Berg, Konstantin Ens, Sebastian P. M. Dries, Tobias Klinder, Cristian Lorenz:
Validation and comparison of registration methods for free-breathing 4D lung CT. Image Processing 2008: 69142P - [c19]Konstantin Ens, Jens von Berg, Sven Kabus, Cristian Lorenz, Bernd Fischer:
A unified framework for joint registration and segmentation. Image Processing 2008: 691406 - [c18]Jochen Peters, Olivier Ecabert, Cristian Lorenz, Jens von Berg, Matthew J. Walker, Thomas Ivanc, Mani Vembar, Mark E. Olszewski, Jürgen Weese:
Segmentation of the heart and major vascular structures in cardiovascular CT images. Image Processing 2008: 691417 - 2007
- [c17]Tobias Klinder, Cristian Lorenz, Jens von Berg, Sebastian P. M. Dries, Thomas Bülow, Jörn Ostermann:
Automated Model-Based Rib Cage Segmentation and Labeling in CT Images. MICCAI (2) 2007: 195-202 - [c16]Olivier Ecabert, Jochen Peters, Matthew J. Walker, Jens von Berg, Cristian Lorenz, Mani Vembar, Mark E. Olszewski, Jürgen Weese:
Automatic whole heart segmentation in CT images: method and validation. Image Processing 2007: 65120G - 2006
- [j3]Cristian Lorenz, Jens von Berg:
A comprehensive shape model of the heart. Medical Image Anal. 10(4): 657-670 (2006) - [c15]Jens von Berg, Cristian Lorenz:
A Statistical Geometric Model of the Heart. Bildverarbeitung für die Medizin 2006: 116-120 - [c14]Cristian Lorenz, Jens von Berg:
Generation of a cardiac shape model from CT Data. EMBC 2006: 1548-1551 - [c13]Jens von Berg, Philipp Begemann, Felix Stahmer, Gerhard Adam, Cristian Lorenz:
Automatic LV volume measurement in low dose multi-phase CT by shape tracking. Image Processing 2006: 61443O - 2005
- [c12]Jens von Berg, Cristian Lorenz:
Multi-surface Cardiac Modelling, Segmentation, and Tracking. FIMH 2005: 1-11 - [c11]Cristian Lorenz, Jens von Berg:
Towards a Comprehensive Geometric Model of the Heart. FIMH 2005: 102-112 - [c10]Jens von Berg, Cristian Lorenz:
Accurate left atrium segmentation in multislice CT images using a shape model. Image Processing 2005 - 2004
- [j2]Michael Kaus, Jens von Berg, Jürgen Weese, Wiro J. Niessen, Vladimir Pekar:
Automated segmentation of the left ventricle in cardiac MRI. Medical Image Anal. 8(3): 245-254 (2004) - [c9]Jens von Berg, Jochen Kruecker, Heinrich Schulz, Kirsten Meetz, Jörg Sabczynski:
A hybrid method for registration of interventional CT and ultrasound images. CARS 2004: 492-497 - [c8]Cristian Lorenz, Jens von Berg, Thomas Bülow, Steffen Renisch, Sven Wergandt:
Modeling the Coronary Artery Tree. SMI 2004: 354-357 - [c7]Cristian Lorenz, Jens von Berg, Thomas Bülow, Steffen Renisch, Sven Wergandt:
Modeling the Coronary Artery Tree (Figures 1, 2, 4, and 5). SMI 2004: 399 - 2003
- [c6]Holger Timinger, Vladimir Pekar, Jens von Berg, Klaus Dietmayer, Michael Kaus:
Integration of Interactive Corrections to Model-Based Segmentation Algorithms. Bildverarbeitung für die Medizin 2003: 171-175 - [c5]Jens von Berg:
A grammar-based speech user interface generator for structured reporting. CARS 2003: 887-892 - [c4]Michael Kaus, Jens von Berg, Wiro J. Niessen, Vladimir Pekar:
Automated Segmentation of the Left Ventricle in Cardiac MRI. MICCAI (1) 2003: 432-439 - [c3]Jens von Berg, Vladimir Pekar, Roel Truyen, Steven Lobregt, Michael R. Kaus:
Improving specificity of image features for segmentation with deformable models. Image Processing 2003 - [c2]Kirsten Meetz, Jens von Berg, Thomas Netsch, Vladimir Pekar, Steven Lobregt, Roel Truyen, Miriam Siers, Wiro J. Niessen, Michael R. Kaus:
Coupled deformable models with spatially varying features for quantitative assessment of left ventricular function from cardiac MRI. Image Processing 2003 - 2001
- [c1]Jens von Berg, Joachim D. Schmidt, Thomas Wendler:
Business Process Integration for Distributed Applications in Radiology. DOA 2001: 10-19
1990 – 1999
- 1999
- [b1]Jens von Berg:
Kortikale Karten und präattentive Wahrnehmung - über Segmentierungsleistungen und die Geometrie der Reizrepräsentation. University of Hamburg, Germany, DISKI 223, Infix 1999, ISBN 978-3-89601-223-4, pp. I-XIV, 1-211 - [j1]Jens von Berg:
Kortikale Karten und Textursegmentierung. Künstliche Intell. 13(3): 43-45 (1999)
Coauthor Index
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