A Markov Chain Monte Carlo Approach to Stereovision. - Julien Sénégas (ECCV (3), 2002)

Monte Carlo Methods in Stereovision. - Julien Sénégas; Michel Schmitt; Philippe Nonin (JCIS, 2002)

Automatic cardiac region-of-interest computation in cine 3D structural MRI. - Chris A. Cocosco; Thomas Netsch; Julien Sénégas; Daniel Bystrov; Wiro J. Niessen; Max A. Viergever (CARS, 2004)

Segmentation of Medical Images with a Shape and Motion Model: A Bayesian Perspective. - Julien Sénégas; Thomas Netsch; Chris A. Cocosco; Gunnar Lund; Alexander Stork (ECCV Workshops CVAMIA and MMBIA, 2004)

Model-based segmentation of cardiac MRI cine sequences: a Bayesian formulation. - Julien Sénégas; Chris A. Cocosco; Thomas Netsch (Image Processing, 2004)

Iterative Off-Resonance and Signal Decay Estimation and Correction for Multi-Echo MRI. - Tobias Knopp 001; Holger Eggers; Hannes Dahnke; Jürgen Prestin; Julien Sénégas (IEEE Trans. Medical Imaging, 2009)

Automated anatomy detection in CT localizer images. - Axel Saalbach; Martin Bergtholdt; Thomas Netsch; Julien Sénégas (ISBI, 2015)

Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams. - Julien Sénégas; Axel Saalbach; Martin Bergtholdt; Sascha Jockel; Detlef Mentrup; Roman Fischbach (MICCAI (2), 2018)

Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. - Hrishikesh Deshpande; Martin Bergtholdt; Shlomo Gotman; Axel Saalbach; Julien Sénégas (ISBI, 2020)

Fundamentals of Camera-PPG Based Magnetic Resonance Imaging. - Wenjin Wang 002; Steffen Weiss 002; Albertus C. den Brinker; Jan Hendrik Wuelbern; Albert Garcia i Tormo; Ioannis Pappous; Julien Sénégas (IEEE J. Biomed. Health Informatics, 2022)