Papier de conférence
Vanderhaeghen, J., Corbet, C., Duhoux, F., Pierreux, C., & Jodogne, S. (2026). Reproducible PINN Framework for Patient-Specific Modeling and Biophysical Parameter Inference in Glioblastoma. Published. 19th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC/BIOIMAGING), Marbella, Spain. https://doi.org/10.5220/0014299100004070
Roucoux, F., & Jodogne, S. (2026). Clinical Diagnosis of Rare Diseases using Leaky Noisy-OR Bayesian Networks. Accepted/in-press. Medical Informatics Europe (MIE 2026), Genova, Italy.
Jodogne, S., Wallemme, L., Leclercq, I., & Pierreux, C. (2026). Turning a PACS into a Teaching Platform: The Education Plugin for Orthanc. Accepted/in-press. SIIM Annual Meeting 2026, Pittsburgh.
Mulimbi, C., Fierens, A., Dierckx, L., Jodogne, S., & Nijssen, S. (2026). CACRC-Pan: A Concept Annotated Case Report Corpus and Processing Pipeline for Rare Pancreatic Diseases. Accepted/in-press. Medical Informatics Europe (MIE 2026), Genova, Italy.
Article de journal
Ward, B., Bindels, L. B., Balligand, J.-L., Bearzatto, B., Bommer, G., Cani, P. D., De Greef, J., Dewulf, J. P., Gatto, L., Haufroid, V., Jodogne, S., Kabamba, B., Pyr Dit Ruys, S., Vertommen, D., Yombi, J. C., Belkhir, L., & Elens, L. (2026). Association of nasopharyngeal and species with post-acute sequelae of SARS-CoV-2 in a longitudinal cohort. Microbiology Spectrum, e0231325. https://doi.org/10.1128/spectrum.02313-25 (Original work published 2026)
Papier de conférence
Fierens, A., Englebert, A., & Jodogne, S. (2025). Translating UMLS Concepts to Improve Medical Entity Linking in French: A SapBERT-Based Approach. Published. 35th Medical Informatics Europe Conference (MIE 2025), Glasgow, Scotland. https://doi.org/10.3233/SHTI250484
Langlois, Q., & Jodogne, S. (2025). Comparison between Machine Learning and Deep Learning on Multiple Motor Imagery Paradigms in a Low-Resource Context. Published. 18th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2025), Porto, Portugal.
Jodogne, S. (2025). Combining Languages to Set a PACS on FHIR. In Collectif d’auteurs (ed.), Biomedical Engineering Systems and Technologies: 17th International Joint Conference, BIOSTEC 2024, Revised Selected Papers (pp. 314-334). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-96899-0_18
Article de journal
Lemaréchal, Y., Couture, G., Pelletier, F., Lefol, R., Asselin, P.-L., Ouellet, S., Bernard, J., Ebrahimpour, L., Manem, V. S. K., Topalis, J., Schachtner, B., Jodogne, S., Joubert, P., Jeblick, K., Ingrisch, M., & Després, P. (2025). PARADIM: A Platform to Support Research at the Interface of Data Science and Medical Imaging. Journal of Imaging Informatics in Medicine. Accepted/in-press. https://doi.org/10.1007/s10278-025-01554-y (Original work published 2025)
Article de journal
Kirkove, D., Ben Mustapha, S., Jodogne, S., & Pétré, B. (2024). L’utilisation de l’imagerie médicale en tant qu’outil d’éducation thérapeutique du patient en radiothérapie : étude de faisabilité. Revue médicale de Liège, 79(S1), 100-106. (Original work published 2024)
Fierens, A., & Jodogne, S. (2024). BERTinchamps: Cost-Effective In-House Training of Language Models in French. Italian Journal of Computational Linguistics (IJCOL), 10(2), 131-146. https://doi.org/10.17454/IJCOL102.07 (Original work published 2024)
Ward, B., Pyr dit Ruys, S., Balligand, J.-L., Belkhir, L., Cani, P., Collet, J.-F., De Greef, J., Dewulf, J., Gatto, L., Haufroid, V., Jodogne, S., Kabamba-Mukadi, B., Lingurski, M., Yombi, J. C., Vertommen, D., & Elens, L. (2024). Deep Plasma Proteomics with Data-Independent Acquisition: Clinical Study Protocol Optimization with a COVID-19 Cohort. Journal of Proteome Research, 23(9), 3806-3822. https://doi.org/10.1021/acs.jproteome.4c00104 (Original work published 2024)
Jodogne, S. (2024). Apport du logiciel libre en imagerie médicale. Revue médicale de Liège, 79(S1), 75-83. (Original work published 2024)
Mathys, A., Pollet, Y., Gressin, A., Muth, X., Brecko, J., Dekoninck, W., Vandenspiegel, D., Jodogne, S., & Semal, P. (2024). Sphaeroptica: A tool for pseudo-3D visualization and 3D measurements on arthropods. PLOS ONE, 19(10), 1-32. https://doi.org/10.1371/journal.pone.0311887 (Original work published 2024)
Papier de conférence
Langlois, Q., & Jodogne, S. (2024). Embeddings for Motor Imagery Classification. Published. IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP 2024), London, UK. https://doi.org/10.1109/MLSP58920.2024.10734730
Langlois, Q., Szelagowski, N., Vanderdonckt, J., & Jodogne, S. (2024). Open Platform for the De-identification of Burned-in Texts in Medical Images using Deep Learning. Published. 11th International Conference on Bioimaging (BIOIMAGING 2024), Rome, Italy. https://doi.org/10.5220/0012430300003657
Jodogne, S. (2024). Plateforme libre, intégrée et interopérable pour la détection de masses en mammographie. Colloque International du Réseau d’Excellence des Sciences de l’Ingénieur de la Francophonie (RESCIF), Yaoundé, Cameroon.
Chatzopoulos, E., & Jodogne, S. (2024). Integrated and Interoperable Platform for Detecting Masses on Mammograms. Published. 34th Medical Informatics Europe Conference (MIE 2024), Athens, Greece. https://doi.org/10.3233/SHTI240603
Sadre, W., Huet-Dastarac, M., Deffet, S., Sterpin, E., Barragan Montero, A. M., Jodogne, S., & Lee, J. (2024). PARROT - A Versatile Platform for AI-Driven Image Segmentation and Dose Prediction. Published. 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024), Manchester, UK. https://doi.org/10.1007/978-981-96-3863-5_43
Chatzopoulos, E., & Jodogne, S. (2024). Assessing the Impact of Deep Learning Backbones for Mass Detection in Breast Imaging. Published. Artificial Intelligence in Healthcare (AIiH 2024), Swansea, United Kingdom. https://doi.org/10.1007/978-3-031-67285-9_3
Jodogne, S. (2024). Setting a PACS on FHIR. Published. 17th International Conference on Health Informatics (HEALTHINF 2024), Rome, Italy. https://doi.org/10.5220/0012384600003657
Papier de conférence
Jodogne, S. (2023). On the Use of WebAssembly for Rendering and Segmenting Medical Images. In Ana Cecília A. Roque, Denis Gracanin, Ronny Lorenz, Athanasios Tsanas, Nathalie Bier, Ana Fred, Hugo Gamboa (eds.) (ed.), Biomedical Engineering Systems and Technologies: 15th International Joint Conference, BIOSTEC 2022, Revised Selected Papers (p. p. 393-414). Springer. https://doi.org/10.1007/978-3-031-38854-5_20
Fierens, A., Gregoir, T., & Jodogne, S. (2023). Interoperable Encoding and 3D Printing of Anatomical Structures. Published. 10th International Conference on Bioinformatics Research and Applications (ICBRA 2023), Barcelona, Spain. https://doi.org/10.1145/3632047.3632051
Jodogne, S. (2023). Client-Side Application of Deep Learning Models Through Teleradiology. Published. Medical Informatics Europe 2023, Gothenburg, Sweden. https://doi.org/10.3233/shti230325
Fierens, A., & Jodogne, S. (2023). BERTinchamps: Cost-Effective Training of Large Language Models for Medical Tasks in French. Published. Workshop on Natural Language for Artificial Intelligence (NL4AI, 7th edition), Rome, Italy.
Jodogne, S. (2023). On the Use of DICOM as a Storage Layer for IIIF. DaSCHCon on IIIF, 3D & Interoperability, Basel, Switzerland.
Langlois, Q., & Jodogne, S. (2023). Practical Study of Deep Learning Models for Speech Synthesis. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, p. 700–706. https://doi.org/10.1145/3594806.3596536
Article de journal
Kirkove, D., Barthelemy, N., Coucke, P., Mievis, C., Ben Mustapha, S., Jodogne, S., Dardenne, N., Donneau, A.-F., & Pétré, B. (2022). Étude de faisabilité : l’utilisation de l’imagerie médicale en éducation thérapeutique en radiothérapie. Cancer radiothérapie, 26(8), 1034-1044. https://doi.org/10.1016/j.canrad.2022.04.004 (Original work published 2022)
Ward, B., Yombi, J. C., Balligand, J.-L., Cani, P., Collet, J.-F., De Greef, J., Dewulf, J., Gatto, L., Haufroid, V., Jodogne, S., Kabamba-Mukadi, B., Pyr dit Ruys, S., Vertommen, D., Elens, L., & Belkhir, L. (2022). HYGIEIA: HYpothesizing the Genesis of Infectious Diseases and Epidemics through an Integrated Systems Biology Approach. Viruses, 14(7), 1373 [1-17]. https://doi.org/10.3390/v14071373 (Original work published 2022)
Papier de conférence
Misonne, T., & Jodogne, S. (2022). Federated learning for heart segmentation. 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). Published. 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Nafplio, Greece. https://doi.org/10.1109/ivmsp54334.2022.9816345
Jodogne, S. (2022). Rendering Medical Images using WebAssembly. Proc. of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (Volume 2), 43-51. https://doi.org/10.5220/0000156300003123
Papier de conférence
Kirkove, D., Barthelemy, N., Coucke, P., Mievis, C., Ben Mustapha, S., Dardenne, N., Jodogne, S., & Pétré, B. (2021). Etude pilote : évaluation de l’impact de l’utilisation de l’imagerie médicale comme outil d’éducation thérapeutique du patient en radiothérapie. 8ème Congrès de la Société d’Education Thérapeutique Européenne.
Article de journal
Jodogne, S. (2018). The Orthanc Ecosystem for Medical Imaging. Journal of Digital Imaging, 31(3), 341-352. https://doi.org/10.1007/s10278-018-0082-y (Original work published 2018)
Vandaele, R., Aceto, J., Muller, M., Péronnet, F., Debat, V., Wang, C.-W., Huang, C.-T., Jodogne, S., Martinive, P., Geurts, P., & Marée, R. (2018). Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach. Scientific Reports, 8(1), 13. https://doi.org/10.1038/s41598-017-18993-5 (Original work published 2018)
Papier de conférence
Vandaele, R., Lallemand, F., Martinive, P., Gulyban, A., Jodogne, S., Coucke, P., Geurts, P., & Marée, R. (2017). Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection. Proc. of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, p. 333-340. https://doi.org/10.5220/0006153803330340
Jodogne, S., Lenaerts, É., Marquet, L., Erpicum, C., Greimers, R., Gillet, P., Hustinx, R., & Delvenne, P. (2017). Open Implementation of DICOM for Whole-Slide Microscopic Imaging. Proc. of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, p. 81-87. https://doi.org/10.5220/0006155100810087
Article de journal
Lovinfosse, P., Janvary, Z. L., Coucke, P., Jodogne, S., Bernard, C., Hatt, M., Visvikis, D., Jansen, N., Duysinx, B., & Hustinx, R. (2016). FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy. European Journal of Nuclear Medicine and Molecular Imaging, 43(8), 1453-1460. https://doi.org/10.1007/s00259-016-3314-8 (Original work published 2016)
Lovinfosse, P., Koopmansch, B., Lambert, F., Jodogne, S., Kustermans, G., Hatt, M., Visvikis, D., Seidel, L., Polus, M., Albert, A., Delvenne, P., & Hustinx, R. (2016). 18F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational status. British Journal of Radiology, 89(1063), 20160212. https://doi.org/10.1259/bjr.20160212 (Original work published 2016)
Article de journal
Wang, C.-W., Huang, C.-T., Hsieh, M.-C., Li, C.-H., Chang, S.-W., Li, W.-C., Vandaele, R., Maree, R., Jodogne, S., Geurts, P., Chen, C., Zheng, G., Chu, C., Mirzaalian, H., Hamarneh, G., Vrtovec, T., & Ibragimov, B. (2015). Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Transactions on Medical Imaging, 34(9), 1890-1900. https://doi.org/10.1109/tmi.2015.2412951 (Original work published 2015)
Vandaele, R., Marée, R., Coucke, P., Lenaerts, E., Gulyban, A., Lallemand, F., Geurts, P., Jodogne, S., & Martinive, P. (2015). Automated landmarks detection for rigid registration between the simulation-CT and the treatment CBCT. Radiotherapy & Oncology, 115(1), S834-S835. https://doi.org/10.1016/s0167-8140(15)41521-x (Original work published 2015)
Article de journal
Withofs, N., Bernard, C., Van der Rest, C., Martinive, P., Hatt, M., Jodogne, S., Visvikis, D., Lee, J., Coucke, P. A., & Hustinx, R. (2014). FDG PET/CT for rectal carcinoma radiotherapy treatment planning: comparison of functional volume delineation algorithms and clinical challenges. Journal of Applied Clinical Medical Physics, 15(5), 4696. https://doi.org/10.1120/jacmp.v15i5.4696 (Original work published 2014)
Lallemand, F., Lakosi, F., Hustinx, R., Withofs, N., Meunier, P., Tshibanda, L., Jodogne, S., Coucke, P., & Martinive, P. (2014). Utilisation de l’imagerie fonctionnelle en radiothérapie. Revue médicale de Liège, 69(S1), 20-28. (Original work published 2014)
Papier de conférence
Jodogne, S., Lenaerts, E., Coucke, P., & Hustinx, R. (2014). Orthanc - Logiciel libre pour l’imagerie médicale en milieu hospitalier. Conférence Francophone en Gestion et Ingénierie des Systèmes Hospitaliers (GISEH 2014).
Papier de conférence
Jodogne, S., Bernard, C., Devillers, M., Lenaerts, E., & Coucke, P. (2013). Orthanc - A lightweight, restful DICOM server for healthcare and medical research. Published. 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013), San Francisco, CA, USA. https://doi.org/10.1109/isbi.2013.6556444
Jodogne, S., Sobczak, S., Devillers, M., Lenaerts, E., & Coucke, P. (2013). Orthanc - Lightweight, scriptable DICOM server for image management in radiotherapy departments. Belgian Hospital Physicists Association Symposium (BHPA).
Bernard, C., Paulus, C., Jodogne, S., & Hustinx, R. (2013). Automated platform for the quality control of PET-CT scanners following AFCN/FANC recommendations. Belgian Hospital Physicists Association Symposium (BHPA).
Article de journal
Jodogne, S., Sobczak, S., Devillers, M., Lenaerts, E., Martinive, P., & Coucke, P. (2013). Orthanc - Lightweight, scriptable DICOM server for medical image management in radiotherapy. Radiotherapy & Oncology, 106(1), S491. https://doi.org/10.1016/s0167-8140(15)33607-0 (Original work published 2013)
Article de journal
Piater, J., Jodogne, S., Detry, R., Kraft, D., Krüger, N., Kroemer, O., & Peters, J. (2011). Learning visual representations for perception-action systems. International Journal of Robotics Research, 30(3), 294-307. https://doi.org/10.1177/0278364910382464 (Original work published 2010)
Papier de conférence
Piater, J., Jodogne, S., Detry, R., Kraft, D., Krüger, N., Krömer, O., & Peters, J. (2009). Learning Visual Representations for Interactive Systems. Springer Tracts in Advanced Robotics : Robotics Research, p. 399-416. https://doi.org/10.1007/978-3-642-19457-3_24
Article de journal
Briquet, C., Dalem, X., Jodogne, S., & de Marneffe, P.-A. (2009). P2P file sharing for P2P computing. Multiagent and Grid Systems, 5(2), 137-164. https://doi.org/10.3233/mgs-2009-0124 (Original work published 2009)
Papier de conférence
Briquet, C., Dalem, X., Jodogne, S., & de Marneffe, P.-A. (2007). Scheduling data-intensive bags of tasks in P2P grids with bittorrent-enabled data distribution. UPGRADE ’07: Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks, p. 39-48. https://doi.org/10.1145/1272980.1272990
Article de journal
Jodogne, S., & Piater, J. H. (2007). Closed-Loop Learning of Visual Control Policies. Journal of Artificial Intelligence Research, 28(1), 349-391. https://doi.org/10.1613/jair.2110 (Original work published 2007)
Papier de conférence
Jodogne, S., & Piater, J. H. (2006). Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions. Published. 17th European Conference on Machine Learning (ECML). https://doi.org/10.1007/11871842_24
Barnich, O., Jodogne, S., & Van Droogenbroeck, M. (2006). Robust Analysis of Silhouettes by Morphological Size Distributions. Published. Advanced Concepts for Intelligent Vision Systems (ACIVS). https://doi.org/10.1007/11864349_67
Jodogne, S., Briquet, C., & Piater, J. H. (2006). Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks. Published. European Conference on Machine Learning (ECML). https://doi.org/10.1007/11871842_23
Papier de conférence
Jodogne, S., & Piater, J. (2005). Learning, then Compacting Visual Policies. Published. 7th European Workshop on Reinforcement Learning.
Jodogne, S., & Piater, J. (2005). Apprentissage Interactif de Liaisons Directes entre Perceptions Visuelles et Actions. ORASIS′05 - Proceedings of the “Congrès des jeunes chercheurs en vision par ordinateur”.
Jodogne, S., & Piater, J. H. (2005). Interactive learning of mappings from visual percepts to actions. ICML ’05: Proceedings of the 22nd international conference on Machine learning, p. 393-400. https://doi.org/10.1145/1102351.1102401
Jodogne, S., & Piater, J. (2005). Reinforcement Learning of Perceptual Classes using Q Learning Updates. Published. IASTED International Conference on Artificial Intelligence and Applications.
Jodogne, S., Scalzo, F., & Piater, J. H. (2005). Task-Driven Learning of Spatial Combinations of Visual Features. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR′05) - Workshops. Published. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR′05), San Diego, CA, USA. https://doi.org/10.1109/cvpr.2005.539
Article de journal
Boigelot, B., Jodogne, S., & Wolper, P. (2005). An effective decision procedure for linear arithmetic over the integers and reals. ACM Transactions on Computational Logic, 6(3), 614-633. https://doi.org/10.1145/1071596.1071601 (Original work published 2005)
Papier de conférence
Jodogne, S., & Piater, J. (2004). Controlling an Agent by Focusing its Attention on Interactively Selected Patterns. URSI (International Union of Radio Science) Forum 2004.
Jodogne, S., & Piater, J. H. (2004). Interactive Selection of Visual Features through Reinforcement Learning. Research and Development in Intelligent Systems XXI, p. 285-298. https://doi.org/10.1007/1-84628-102-4_21
Papier de conférence
Boigelot, B., Herbreteau, F., & Jodogne, S. (2003). Hybrid Acceleration Using Real Vector Automata. Published. International Conference on Computer Aided Verification. https://doi.org/10.1007/978-3-540-45069-6_19
Papier de conférence
Jodogne, S. (2002). Automata-based Representations for the Verification of Hybrid Systems. Summer School Modelling and Verification of Parallel Processes (MOVEP).
Papier de conférence
Boigelot, B., Jodogne, S., & Wolper, P. (2001). On the Use of Weak Automata for Deciding Linear Arithmetic with Integer and Real Variables. Published. International Joint Conference on Automated Reasoning (IJCAR 2001). https://doi.org/10.1007/3-540-45744-5_50
