L'affiliation est "Génie logiciel et des technologies de l'information"

2026

Dolz, José et Ben Ayed, Ismail et Desrosiers, Christian, éds. 2026. « Less-supervised segmentation with CNNs: Scenarios, models and optimization ». Elsevier. 330 p.

AlKhazi, Bader, Mkaouer, Mohamed Wiem, Ouni, Ali et Alrubaye, Hussein. 2026. « Tutorial: Third-party software libraries: From integration to transition ». Communication lors de la conférence : Service-Oriented Computing – ICSOC 2024 Workshops: ASOCA, AI-PA, WESOACS, GAISS, LAIS, AI on Edge, RTSEMS, SQS, SOCAISA, SOC4AI and Satellite Events, Revised Selected Papers, Part II (Tunis, Tunisia, Dec. 03-06, 2024).

Aslam, Muhammad Haseeb, Martinez, Clara, Pedersoli, Marco, Lameiras Koerich, Alessandro, Etemad, Ali et Granger, Eric. 2026. « Learning from stochastic teacher representations using student-guided knowledge distillation ». In Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2025, Proceedings, Part VI (Porto, Portugal, Sept. 15-19, 2025) Coll. « Lecture Notes in Computer Science », vol. 16018. pp. 235-253. Springer.

Baklouti, Ghassen, Silva-Rodríguez, Julio, Dolz, Jose, Bahig, Houda et Ben Ayed, Ismail. 2026. « Regularized low-rank adaptation for few-shot organ segmentation ». In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Coll. « Lecture Notes in Computer Science », vol. 15966. pp. 517-527. Springer.

Beizaee, Farzad, Hajimiri, Sina, Ben Ayed, Ismail, Lodygensky, Gregory, Desrosiers, Christian et Dolz, Jose. 2026. « Reflect: Rectified flows for efficient brain anomaly correction transport ». In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part IV (Daejeon, South Korea, Sept. 23-27, 2025) Coll. « Lecture Notes in Computer Science », vol. 15963. pp. 456-466. Springer.

Beizaee, Farzad, Lodygensky, Gregory, Desrosiers, Christian et Dolz, José. 2026. « MAD-AD: Masked diffusion for unsupervised brain anomaly detection ». In Information Processing in Medical Imaging: 29th International Conference, IPMI 2025, Proceedings, Part II (Kos, Greece, May 25-30, 2025) Coll. « Lecture Notes in Computer Science », vol. 15830. pp. 139-153. Springer.

Bessghaier, Narjes, Ouni, Ali, Sayagh, Mohammed et Mkaouer, Mohamed Wiem. 2026. « A search-based file recommendation approach for Infrastructure-as-Code evolution ». Journal of Systems and Software, vol. 234.

Delangle, Mathieu, Moïse-Richard, Anne, Leclercq, Anne-Lise, Labbé, David, Bouchard, Stéphane, Andrews, Sheldon et Ménard, Lucie. 2026. « Speaking face-to-face with a virtual avatar to reduce anxiety in students who stutter: Tool development and pilot study results ». Journal of Fluency Disorders.
(Sous presse)

Djuikom Foka, Gwladys Ornella, Mishra, Sachit, Stanica, Razvan et Naboulsi, Diala. 2026. « Hotspot analysis and prediction for mobile networking applications ». Annals of Telecommunications.
(Sous presse)

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « A unified view of learning from both labeled and unlabeled data ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 17-37. Elsevier.

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « Alternative learning scenarios ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 97-113. Elsevier.

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « General introduction ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 1-13. Elsevier.

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « Semi-supervised learning ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 39-71. Elsevier.

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « Weakly supervised segmentation ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 73-96. Elsevier.

Gaillochet, Melanie, Noori, Mehrdad, Dastani, Sahar, Desrosiers, Christian et Lombaert, Herve. 2026. « Prompt learning with bounding box constraints for medical image segmentation ». IEEE Transactions on Biomedical Engineering, vol. 73, nº 1. pp. 359-368.

Guzmán, Julián E., Mould, David et Paquette, Eric. 2026. « Adaptive multiresolution exemplar-based texture synthesis on animated fluids ». Computers and Graphics, vol. 134.

Mendes, Eduardo, Vasconcellos, Marcelo, Petrillo, Fabio et Hallé, Sylvain. 2026. « From description to prescription: Unraveling log severity adjustments in open-source software ». Journal of Systems and Software, vol. 231.

Moradkhani, Kaveh, Rushmore, R. Jarrett et Bouix, Sylvain. 2026. « SimCortex: Collision-free simultaneous cortical surfaces reconstruction ». In Shape in Medical Imaging: International Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Proceedings (Daejeon, South Korea, Sept. 23, 2025) Coll. « Lecture Notes in Computer Science », vol. 16171. pp. 347-359. Springer.

Olivares, Alejandro, Schuhler-Husson, Canelle, Zine, Yahia et Drouin, Simon. 2026. « Comparative evaluation of ultrasound-guided peripheral intravenous catheter insertion techniques in a virtual reality simulator ». Healthcare Technology Letters, vol. 13, nº 1.

Ouaziz, Mohammed Rida, Cheikhi, Laila, Idri, Ali et Abran, Alain. 2026. « Accessibility in e-government portals: a systematic mapping study ». International Journal of Electrical and Computer Engineering (IJECE), vol. 16, nº 1.

Peng, Jizong, Pedersoli, Marco et Desrosiers, Christian. 2026. « Boosting semi-supervised image segmentation with global and local mutual information regularization ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 147-175. Elsevier.

Shakeri, Fereshteh, Baklouti, Ghassen, Silva-Rodríguez, Julio, Zanella, Maxime, Bahig, Houda, Dolz, Jose et Ben Ayed, Ismail. 2026. « Test-time adaptation of medical vision-language models ». In Foundation Models for General Medical AI: Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Proceedings (Daejeon, South Korea, Sept. 27, 2025) Coll. « Lecture Notes in Computer Science », vol. 16112. pp. 181-191. Springer.

Silva-Rodríguez, Julio, Ben Ayed, Ismail et Dolz, Jose. 2026. « Trustworthy few-shot transfer of medical VLMs through split conformal prediction ». In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Coll. « Lecture Notes in Computer Science », vol. 15966. pp. 658-668. Springer.

Silva-Rodríguez, Julio, Dolz, José et Ben Ayed, Ismail. 2026. « A reality check of vision-language pre-training in radiology: Have we progressed using text? ». In Information Processing in Medical Imaging: 29th International Conference, IPMI 2025, Proceedings, Part II (Kos, Greece, May 25-30, 2025) Coll. « Lecture Notes in Computer Science », vol. 15830. pp. 294-309. Springer.

Silva-Rodríguez, Julio, Fillioux, Leo, Cournède, Paul-Henry, Vakalopoulou, Maria, Christodoulidis, Stergios, Ben Ayed, Ismail et Dolz, José. 2026. « Full conformal adaptation of medical vision-language models ». In Information Processing in Medical Imaging: 29th International Conference, IPMI 2025, Proceedings, Part II (Kos, Greece, May 25-30, 2025) Coll. « Lecture Notes in Computer Science », vol. 15830. pp. 278-293. Springer.

Silva-Rodríguez, Julio, Shakeri, Fereshteh, Bahig, Houda, Dolz, Jose et Ben Ayed, Ismail. 2026. « Few-shot, now for real: Medical VLMs adaptation without balanced sets or validation ». In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Coll. « Lecture Notes in Computer Science », vol. 15966. pp. 237-247. Springer.

Silva-Rodriguez, Julio-Jose, Dolz, Jose et Ben Ayed, Ismail. 2026. « Transductive few-shot adapters for medical image segmentation ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 295-309. Elsevier.

Violos, John, Voutsas, Fotios, Diou, Christos et Leivadeas, Aris. 2026. « Detecting application transitions and identifying application types for intent-based network assurance: A machine learning perspective ». Computer Networks, vol. 274.