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

Abran, Alain

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.

Andrews, Sheldon

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)

Ben Ayed, Ismail

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

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.

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.

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.

Bouix, Sylvain

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.

Desrosiers, Christian

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

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.

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.

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.

Dolz, José

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

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.

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.

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.

Drouin, Simon

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.

Granger, Éric

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.

Labbé, David

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)

Lameiras Koerich, Alessandro

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.

Leivadeas, Aris

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.

Lombaert, Hervé

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.

Naboulsi, Diala

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)

Ouni, Ali

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).

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.

Paquette, Eric

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

Pedersoli, Marco

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.

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.

Petrillo, Fabio

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.

Sayagh, Mohammed

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.