On the Use of Weak Automata for Deciding Linear Arithmetic with Integer and Real Variables. - Bernard Boigelot; Sébastien Jodogne; Pierre Wolper (IJCAR, 2001)

Hybrid Acceleration Using Real Vector Automata (Extended Abstract). - Bernard Boigelot; Frédéric Herbreteau; Sébastien Jodogne (CAV, 2003)

An Effective Decision Procedure for Linear Arithmetic with Integer and Real Variables - Bernard Boigelot; Sébastien Jodogne; Pierre Wolper (CoRR, 2003)

Interactive Selection of Visual Features through Reinforcement Learning. - Sébastien Jodogne; Justus H. Piater (SGAI Conf., 2004)

Reinforcement Learning of Perceptual Classes using Q Learning Updates. - Sébastien Jodogne; Justus H. Piater (Artificial Intelligence and Applications, 2005)

Task-Driven Learning of Spatial Combinations of Visual Features. - Sébastien Jodogne; Fabien Scalzo; Justus H. Piater (CVPR Workshops, 2005)

Interactive learning of mappings from visual percepts to actions. - Sébastien Jodogne; Justus H. Piater (ICML, 2005)

An effective decision procedure for linear arithmetic over the integers and reals. - Bernard Boigelot; Sébastien Jodogne; Pierre Wolper (ACM Trans. Comput. Log., 2005)

Robust Analysis of Silhouettes by Morphological Size Distributions. - Olivier Barnich; Sébastien Jodogne; Marc Van Droogenbroeck (ACIVS, 2006)

Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks. - Sébastien Jodogne; Cyril Briquet; Justus H. Piater (ECML, 2006)

Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions. - Sébastien Jodogne; Justus H. Piater (ECML, 2006)

Closed-Loop Learning of Visual Control Policies. - Sébastien Jodogne (2006)

Scheduling data-intensive bags of tasks in P2P grids with bittorrent-enabled data distribution. - Cyril Briquet; Xavier Dalem; Sébastien Jodogne; Pierre-Arnoul de Marneffe (UPGRADE-CN, 2007)

Closed-Loop Learning of Visual Control Policies. - Sébastien Jodogne; Justus H. Piater (J. Artif. Intell. Res., 2007)

Learning Visual Representations for Interactive Systems. - Justus H. Piater; Sébastien Jodogne; Renaud Detry; Dirk Kraft; Norbert Krüger; Oliver Krömer; Jan Peters 001 (ISRR, 2009)

P2P file sharing for P2P computing. - Cyril Briquet; Xavier Dalem; Sébastien Jodogne; Pierre-Arnoul de Marneffe (Multiagent Grid Syst., 2009)

Learning visual representations for perception-action systems. - Justus H. Piater; Sébastien Jodogne; Renaud Detry; Dirk Kraft; Norbert Krüger; Oliver Kroemer; Jan Peters 001 (Int. J. Robotics Res., 2011)

Orthanc - A lightweight, restful DICOM server for healthcare and medical research. - Sébastien Jodogne; Claire Bernard; Magali Devillers; Eric Lenaerts; Philippe Coucke (ISBI, 2013)

Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. - Ching-Wei Wang; Cheng-Ta Huang; Meng-Che Hsieh; Chung-Hsing Li; Sheng-Wei Chang; Wei-Cheng Li; Remy Vandaele; Raphaël Marée; Sébastien Jodogne; Pierre Geurts; Cheng Chen 022; Guoyan Zheng; et al. (IEEE Trans. Medical Imaging, 2015)

Open Implementation of DICOM for Whole-Slide Microscopic Imaging. - Sébastien Jodogne; Eric Lenaerts; Lara Marquet; Charlotte Erpicum; Roland Greimers; Pierre Gillet; Roland Hustinx; Philippe Delvenne (VISIGRAPP (6: VISAPP), 2017)

Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection. - Remy Vandaele; François Lallemand; Philippe Martinive; Akos Gulyban; Sébastien Jodogne; Philippe Coucke; Pierre Geurts; Raphaël Marée (VISIGRAPP (5: VISAPP), 2017)

The Orthanc Ecosystem for Medical Imaging. - Sébastien Jodogne (J. Digit. Imaging, 2018)

Rendering Medical Images using WebAssembly. - Sébastien Jodogne (BIOIMAGING, 2022)

On the Use of WebAssembly for Rendering and Segmenting Medical Images. - Sébastien Jodogne (BIOSTEC (Selected Papers), 2022)

Federated learning for heart segmentation. - Thibaud Misonne; Sébastien Jodogne (IVMSP, 2022)

Interoperable Encoding and 3D Printing of Anatomical Structures. - Amaury Fierens; Thibault Gregoir; Sébastien Jodogne (ICBRA, 2023)

Client-Side Application of Deep Learning Models Through Teleradiology. - Sébastien Jodogne (MIE, 2023)

BERTinchamps: Cost-effective Training of Large Language Models for Medical Tasks in French. - Amaury Fierens; Sébastien Jodogne (NL4AI@AI*IA, 2023)

Practical Study of Deep Learning Models for Speech Synthesis. - Quentin Langlois; Sébastien Jodogne (PETRA, 2023)

Assessing the Impact of Deep Learning Backbones for Mass Detection in Breast Imaging. - Edouard Chatzopoulos; Sébastien Jodogne (AIiH (2), 2024)

Setting a PACS on FHIR. - Sébastien Jodogne (BIOSTEC (2), 2024)

Open Platform for the De-identification of Burned-in Texts in Medical Images using Deep Learning. - Quentin Langlois; Nicolas Szelagowski; Jean Vanderdonckt; Sébastien Jodogne (BIOSTEC (1), 2024)

PARROT - A Versatile Platform for AI-Driven Image Segmentation and Dose Prediction. - Wei Zhao; Margerie Huet-Dastarac; Sylvain Deffet; Edmond Sterpin; Ana M. Barragan-Montero; Sébastien Jodogne; John A. Lee 001 (MICAD, 2024)

Integrated and Interoperable Platform for Detecting Masses on Mammograms. - Edouard Chatzopoulos; Sébastien Jodogne (MIE, 2024)

Embeddings for Motor Imagery Classification. - Quentin Langlois; Sébastien Jodogne (MLSP, 2024)

Comparison Between Machine Learning and Deep Learning on Multiple Motor Imagery Paradigms in a Low-Resource Context. - Quentin Langlois; Sébastien Jodogne (BIOSTEC (1), 2025)