Papier de conférence
Roucoux, F., & Jodogne, S. (2026). Clinical Diagnosis of Rare Diseases using Leaky Noisy-OR Bayesian Networks. Studies in Health Technology and Informatics, 336, 368-372. https://doi.org/10.3233/SHTI260179 (Original work published 2026)
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. Studies in Health Technology and Informatics, 336, 914-918. https://doi.org/10.3233/SHTI260312 (Original work published 2026)
Vanderhaeghen, J., Corbet, C., Duhoux, F., Pierreux, C., & Jodogne, S. (2026). Reproducible PINN Framework for Patient-Specific Modeling and Biophysical Parameter Inference in Glioblastoma. Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2, 342-349. https://doi.org/10.5220/0014299100004070 (Original work published 2026)
Jodogne, S., Wallemme, L., Leclercq, I., & Pierreux, C. (2026). Turning a PACS into a Teaching Platform: The Education Plugin for Orthanc. Proc. of SIIM Annual Meeting 2026. Accepted/in-press. SIIM Annual Meeting 2026, Pittsburgh. (Original work published 2026)
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. Studies in Health Technology and Informatics, 327, 870-871. https://doi.org/10.3233/SHTI250484 (Original work published 2025)
Langlois, Q., & Jodogne, S. (2025). Comparison between Machine Learning and Deep Learning on Multiple Motor Imagery Paradigms in a Low-Resource Context. Proc. the 18th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2025). Published. 18th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2025), Porto, Portugal. (Original work published 2025)
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. Machine Learning for Signal Processing, 1-6. https://doi.org/10.1109/MLSP58920.2024.10734730 (Original work published 2024)
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. Proc. of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2024), 1, 297-304. https://doi.org/10.5220/0012430300003657 (Original work published 2024)
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. Studies in Health Technology and Informatics, 316, 1103-1107. https://doi.org/10.3233/SHTI240603 (Original work published 2024)
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. Lecture Notes in Electrical Engineering, 1372, 474-483. https://doi.org/10.1007/978-981-96-3863-5_43 (Original work published 2024)
Chatzopoulos, E., & Jodogne, S. (2024). Assessing the Impact of Deep Learning Backbones for Mass Detection in Breast Imaging. Lecture Notes in Computer Science, 14976, 33-47. https://doi.org/10.1007/978-3-031-67285-9_3 (Original work published 2024)
Jodogne, S. (2024). Setting a PACS on FHIR. Proc. of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2024), 2, 123-131. https://doi.org/10.5220/0012384600003657 (Original work published 2024)
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. ICBRA ’23: Proceedings of the 10th International Conference on Bioinformatics Research and Applications, 20-26. https://doi.org/10.1145/3632047.3632051 (Original work published 2023)
Jodogne, S. (2023). Client-Side Application of Deep Learning Models Through Teleradiology. Studies in Health Technology and Informatics, 302(1), 997-1001. https://doi.org/10.3233/shti230325 (Original work published 2023)
Fierens, A., & Jodogne, S. (2023). BERTinchamps: Cost-Effective Training of Large Language Models for Medical Tasks in French. CEUR Workshop Proceedings, 3551. (Original work published 2023)
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., 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).
Jodogne, S., Bernard, C., Devillers, M., Lenaerts, E., & Coucke, P. (2013). Orthanc - A lightweight, restful DICOM server for healthcare and medical research. International Symposium on Biomedical Imaging. Proceedings, 1(1), 190-193. https://doi.org/10.1109/isbi.2013.6556444 (Original work published 2013)
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. Lecture Notes in Computer Science, 4212(1), 222-233. https://doi.org/10.1007/11871842_24 (Original work published 2006)
Barnich, O., Jodogne, S., & Van Droogenbroeck, M. (2006). Robust Analysis of Silhouettes by Morphological Size Distributions. Lecture Notes in Computer Science, 4179(1), 734-745. https://doi.org/10.1007/11864349_67 (Original work published 2006)
Jodogne, S., Briquet, C., & Piater, J. H. (2006). Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks. Lecture Notes in Computer Science, 4212(1), 210-221. https://doi.org/10.1007/11871842_23 (Original work published 2006)
Papier de conférence
Jodogne, S., & Piater, J. (2005). Learning, then Compacting Visual Policies. Proc. of the 7th European Workshop on Reinforcement Learning. Published. 7th European Workshop on Reinforcement Learning. (Original work published 2005)
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. Proc. of the 23rd IASTED International Conference on Artificial Intelligence and Applications, 445-450. (Original work published 2005)
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
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”.
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. Lecture Notes in Computer Science, 2725(1), 193-205. https://doi.org/10.1007/978-3-540-45069-6_19 (Original work published 2003)
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. Lecture Notes in Computer Science, 2083(1), 611-625. https://doi.org/10.1007/3-540-45744-5_50 (Original work published 2001)
