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Hendrik von Tengg-Kobligk
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2020 – today
- 2023
- [c20]Saied Ramedani, Majid Ramedani, Hendrik von Tengg-Kobligk, Keivan Daneshvar Ghorbani:
A Deep Learning-based Fully Automated Approach for Body Composition Analysis in 3D Whole Body Dixon MRI. ICCP 2023: 287-292
2010 – 2019
- 2019
- [j7]Behzad Bozorgtabar
, Dwarikanath Mahapatra, Hendrik von Teng
, Alexander Pollinger, Lukas Ebner
, Jean-Philippe Thiran
, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. Comput. Vis. Image Underst. 184: 57-65 (2019) - [i1]Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. CoRR abs/1904.10781 (2019) - 2017
- [c19]Fernando García-García
, Eleni Metaxa, Stergios Christodoulidis
, Marios Anthimopoulos, Nikolaos Kontopodis
, Martina Correa-Londono, Thomas R. Wyss, Yannis Papaharilaou
, Christos V. Ioannou, Hendrik von Tengg-Kobligk
, Stavroula G. Mougiakakou:
Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information. CBMS 2017: 463-468 - 2016
- [j6]Marius Schwalbe
, Axel Haine, Marc Schindewolf
, Hendrik von Tengg-Kobligk
, Tom M. Williamson, Stefan Weber
, Iris Baumgartner, Torsten Fuss:
Feasibility of stereotactic MRI-based image guidance for the treatment of vascular malformations: a phantom study. Int. J. Comput. Assist. Radiol. Surg. 11(12): 2207-2215 (2016) - [c18]Stefan Wörz, Philipp Hoegen, Wei Liao, Matthias Müller-Eschner, Hans-Ulrich Kauczor, Hendrik von Tengg-Kobligk
, Karl Rohr:
Framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms in conjunction with 3D landmark localization and registration. Medical Imaging: Image Processing 2016: 978419 - 2015
- [c17]Andreas Biesdorf
, Stefan Wörz, Hendrik von Tengg-Kobligk
, Karl Rohr, Christoph Schnörr:
3D segmentation of vessels by incremental implicit polynomial fitting and convex optimization. ISBI 2015: 1540-1543 - [c16]Stefan Wörz, Hendrik von Tengg-Kobligk
, Karl Rohr:
3D statistical models of the aorta and the supra-aortic branches. ISBI 2015: 1572-1575 - [c15]Michael Delles, Fabian Rengier, Yoo-Jin Azad, Sebastian Bodenstedt
, Hendrik von Tengg-Kobligk
, Sebastian Ley
, Roland Unterhinninghofen, Hans-Ulrich Kauczor, Rüdiger Dillmann:
Non-invasive pulmonary blood flow analysis and blood pressure mapping derived from 4D flow MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172G - 2014
- [c14]Stefan Wörz, Abdulsattar Alrajab, Raoul Arnold, Joachim Eichhorn, Hendrik von Tengg-Kobligk
, Jens-Peter Schenk, Karl Rohr:
Quantification of the Aortic Morphology in Follow-Up 3D-MRA Images of Children. Bildverarbeitung für die Medizin 2014: 192-197 - [c13]Stefan Wörz, Abdulsattar Alrajab, Raoul Arnold, Joachim Eichhorn, Hendrik von Tengg-Kobligk
, Jens-Peter Schenk, Karl Rohr:
3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data. Medical Imaging: Image Processing 2014: 90340K - 2013
- [c12]Michael Delles, Fabian Rengier
, Yoo-Jin Jeong, Hendrik von Tengg-Kobligk
, Sebastian Ley
, Hans-Ulrich Kauczor, Rüdiger Dillmann, Roland Unterhinninghofen:
Estimation of aortic pressure waveforms from 4D phase-contrast MRI. EMBC 2013: 731-734 - 2012
- [j5]Andreas Biesdorf
, Karl Rohr, Duan Feng, Hendrik von Tengg-Kobligk
, Fabian Rengier
, Dittmar Böckler, Hans-Ulrich Kauczor, Stefan Wörz:
Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration. Medical Image Anal. 16(6): 1187-1201 (2012) - 2011
- [j4]Nenad Filipovic, Danko Z. Milasinovic
, Nebojsa Zdravkovic
, Dittmar Böckler, Hendrik von Tengg-Kobligk
:
Impact of aortic repair based on flow field computer simulation within the thoracic aorta. Comput. Methods Programs Biomed. 101(3): 243-252 (2011) - [c11]Stefan Wörz, Hendrik von Tengg-Kobligk
, Karl Rohr:
Model-Based Quantification of Small Tubular Structures in 3D Vascular Images. Bildverarbeitung für die Medizin 2011: 23-27 - [c10]Andreas Biesdorf
, Karl Rohr, Hendrik von Tengg-Kobligk
, Stefan Wörz:
Aortic Arch Quantification using Efficient Joint Segmentation and Registration. Bildverarbeitung für die Medizin 2011: 279-283 - [c9]Sebastian Schalck, Tobias Müller, Roland Unterhinninghofen, Hendrik von Tengg-Kobligk, Hans-Ulrich Kauczor, Rüdiger Dillmann:
Simulation von Aortenerkrankungen für die Therapieplanung basierend auf 4D MRT- und Phasenkontrastbildgebung. CURAC 2011: 185 - [c8]Michael Delles, Fabian Rengier
, Sebastian Ley, Hendrik von Tengg-Kobligk
, Hans-Ulrich Kauczor, Rüdiger Dillmann, Roland Unterhinninghofen:
Polynomial regularization for robust MRI-based estimation of blood flow velocities and pressure gradients. EMBC 2011: 6829-6832 - [c7]Andreas Biesdorf
, Stefan Wörz, Tobias Müller, Tim Frederik Weber, Tobias Heye
, Waldemar Hosch, Hendrik von Tengg-Kobligk
, Karl Rohr:
Model-Based Segmentation and Motion Analysis of the Thoracic Aorta from 4D ECG-Gated CTA Images. MICCAI (1) 2011: 589-596 - 2010
- [j3]Fabian Rengier
, Amit Mehndiratta, Hendrik von Tengg-Kobligk
, Christian M. Zechmann
, Roland Unterhinninghofen, Hans-Ulrich Kauczor, Frederik L. Giesel:
3D printing based on imaging data: review of medical applications. Int. J. Comput. Assist. Radiol. Surg. 5(4): 335-341 (2010) - [j2]Stefan Wörz, Hendrik von Tengg-Kobligk
, Verena Henninger, Fabian Rengier
, Hardy Schumacher, Dittmar Böckler, Hans-Ulrich Kauczor, Karl Rohr:
3-D Quantification of the Aortic Arch Morphology in 3-D CTA Data for Endovascular Aortic Repair. IEEE Trans. Biomed. Eng. 57(10): 2359-2368 (2010) - [c6]Andreas Biesdorf
, Karl Rohr, Hendrik von Tengg-Kobligk
, Stefan Wörz:
Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch. MICCAI (1) 2010: 444-451 - [c5]Stefan Wörz, Hendrik von Tengg-Kobligk
, Karl Rohr:
A new 3D tubular intensity model for quantification of thin vessels in 3D tomographic images. Medical Imaging: Image Processing 2010: 76230P
2000 – 2009
- 2009
- [j1]Amit Mehndiratta, Michael V. Knopp, Christian M. Zechmann
, M. Owsijewitsch, Hendrik von Tengg-Kobligk
, P. Zamecnik, Hans-Ulrich Kauczor, Peter L. Choyke, Frederik L. Giesel:
Comparison of diagnostic quality and accuracy in color-coded versus gray-scale DCE-MR imaging display. Int. J. Comput. Assist. Radiol. Surg. 4(5): 457-462 (2009) - [c4]Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Dittmar Böckler, Hans-Ulrich Kauczor, Karl Rohr:
3D Segmentation and Quantification of the Aortic Arch for Endovascular Aortic Repair. Bildverarbeitung für die Medizin 2009: 162-166 - [c3]Andreas Biesdorf
, Stefan Wörz, Hendrik von Tengg-Kobligk
, Karl Rohr:
Automatic Detection of Supraaortic Branches and Model-Based Segmentation of the Aortic Arch from 3D CTA Images. ISBI 2009: 486-489 - 2008
- [c2]Stefan Wörz, Hendrik von Tengg-Kobligk
, Verena Henninger, Dittmar Böckler, Hans-Ulrich Kauczor, Karl Rohr:
Quantification of the aortic arch morphology in 3D CTA images for endovascular aortic repair (EVAR). Medical Imaging: Image-Guided Procedures 2008: 69181H - [c1]Daniel Maleike, Michael Fabel, Ralf Tetzlaff, Hendrik von Tengg-Kobligk
, Tobias Heimann, Hans-Peter Meinzer, Ivo Wolf
:
Lymph node segmentation on CT images by a shape model guided deformable surface methodh. Medical Imaging: Image Processing 2008: 69141S
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