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2020 – today
- 2022
[j2]Wenjin Wang
, Steffen Weiss, Albertus C. den Brinker, Jan Hendrik Wuelbern, Albert Garcia i Tormo, Ioannis Pappous, Julien Sénégas:
Fundamentals of Camera-PPG Based Magnetic Resonance Imaging. IEEE J. Biomed. Health Informatics 26(9): 4378-4389 (2022)- 2020
- [c8]Hrishikesh Deshpande, Martin Bergtholdt, Shlomo Gotman, Axel Saalbach, Julien Sénégas:
Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. ISBI 2020: 1130-1133
2010 – 2019
- 2018
- [c7]Julien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, Roman Fischbach:
Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams. MICCAI (2) 2018: 571-579 - 2015
- [c6]Axel Saalbach, Martin Bergtholdt, Thomas Netsch, Julien Sénégas:
Automated anatomy detection in CT localizer images. ISBI 2015: 1151-1154
2000 – 2009
- 2009
- [j1]Tobias Knopp, Holger Eggers, Hannes Dahnke, Jürgen Prestin, Julien Sénégas:
Iterative Off-Resonance and Signal Decay Estimation and Correction for Multi-Echo MRI. IEEE Trans. Medical Imaging 28(3): 394-404 (2009) - 2004
- [c5]Chris A. Cocosco, Thomas Netsch, Julien Sénégas, Daniel Bystrov, Wiro J. Niessen, Max A. Viergever:
Automatic cardiac region-of-interest computation in cine 3D structural MRI. CARS 2004: 1126-1131 - [c4]Julien Sénégas, Thomas Netsch, Chris A. Cocosco, Gunnar Lund, Alexander Stork:
Segmentation of Medical Images with a Shape and Motion Model: A Bayesian Perspective. ECCV Workshops CVAMIA and MMBIA 2004: 157-168 - [c3]Julien Sénégas, Chris A. Cocosco, Thomas Netsch:
Model-based segmentation of cardiac MRI cine sequences: a Bayesian formulation. Medical Imaging: Image Processing 2004 - 2002
- [c2]Julien Sénégas:
A Markov Chain Monte Carlo Approach to Stereovision. ECCV (3) 2002: 97-111 - [c1]Julien Sénégas, Michel Schmitt, Philippe Nonin:
Monte Carlo Methods in Stereovision. JCIS 2002: 885-889
Coauthor Index
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