| ENGLISH |
L'affiliation est "Génie logiciel et des technologies de l'information"Aller à Abdellatif, Manel | Abran, Alain | Aissaoui, Rachid | Andrews, Sheldon | Aïvodji, Ulrich | Ben Ayed, Ismail | Bouix, Sylvain | Cardinal, Patrick | Coti, Camille | Coulombe, Stéphane | Desrosiers, Christian | Dias De Assunção, Marcos | Dias de Assuncao, Marcos | Dolz, José | Drouin, Simon | Duong, Luc | Dziong, Zbigniew | Ebrahimi-Kahou, Samira | El boussaidi, Ghizlane | Gascon-Samson, Julien | Gervais, Sylvie | Granger, Éric | Gruson, Adrien | Jaafar, Waël | Kaddoum, Georges | Kara, Nadjia | Kpodjedo, Sègla Jean-Luc | Labbé, David | Lameiras Koerich, Alessandro | Langar, Rami | Leivadeas, Aris | Lombaert, Hervé | Menelau Cruz, Rafael | Moha, Naouel | Ménard, Pierre André | Naboulsi, Diala | Ouni, Ali | Paquette, Eric | Pedersoli, Marco | Petrillo, Fabio | Ratté, Sylvie | Sayagh, Mohammed | Sboui, Lokman | Talhi, Chamseddine | Vázquez, Carlos Nombre de documents archivés : 124. Abdellatif, Manel
Ghlissi, Hakim, Boukhatem, Mohamed El Hadi, Abdellatif, Manel et Moha, Naouel.
2026.
« A pattern-driven and LLM-assisted approach for decomposing monolithic ML-based systems into microservices ».
In Service-Oriented Computing: 23rd International Conference, ICSOC 2025, Proceedings, Part I (Shenzhen, China, Dec. 01-04, 2025)
Coll. « Lecture Notes in Computer Science », vol. 16320.
pp. 221-229.
Springer. Abran, Alain
Farahat, Mostafa, Soubra, Hassan, Moulla, Donatien Koulla et Abran, Alain.
2026.
« Enhancing handball analytics with computer vision and machine learning: An exploratory experiment ».
Future Internet, vol. 18, nº 4.
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.
Aissaoui, Rachid
Willaert, Iris, Aissaoui, Rachid, Vallageas, Valentin et Labbe, David R..
2026.
« Resisting the avatar: Motor responses to spatial distortions in upper- and lower-limb reaching without visual targets ».
IEEE Transactions on Visualization and Computer Graphics, vol. 32, nº 3.
pp. 2798-2811. 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, vol. 87.
Elmi, Hanad, Andrews, Sheldon, Miro, Joaquim, Gonzalez, Francisco, Segars, Paul, Vancoillie, Liesbeth, Samei, Ehsan et Duong, Luc.
2026.
« Designing patient-specific virtual phantoms for pediatric patients with congenital heart disease ».
In Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling (Vancouver, BC, Canada, Feb. 15-20, 2026)
Coll. « Proceedings of SPIE », vol. 13927.
SPIE.
Mercier-Aubin, A., Schneider, T., Kry, P. G. et Andrews, S..
2026.
« Affinification: A fine approximation of deformations ».
Computer Graphics Forum.
Aïvodji, Ulrich
Kenfack, Patrik, Kahou, Samira Ebrahimi et Aïvodji, Ulrich.
2026.
« Towards fair in-context learning with tabular foundation models ».
Transactions on Machine Learning Research, vol. 2026.
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.
Fillioux, Leo, Silva-Rodríguez, Julio, Ben Ayed, Ismail, Cournède, Paul-Henry, Vakalopoulou, Maria, Christodoulidis, Stergios et Dolz, Jose.
2026.
« Are foundation models for computer vision good conformal predictors? ».
Transactions on Machine Learning Research, vol. 2026.
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
Bricout, Charles, Ebrahimi Kahou, Samira et Bouix, Sylvain.
2026.
« Estimation of head motion in structural MRI and its impact on cortical morphometry ».
Frontiers in Neuroscience, vol. 20.
Dargahi, Sedigheh, Bouix, Sylvain et Desrosiers, Christian.
2026.
« Susceptibility distortion correction of diffusion MRI with a single phase-encoding direction ».
In Computational Diffusion MRI: 16th International Workshop, CDMRI 2025, Held in Conjunction with MICCAI 2025, Proceedings (Daejeon, South Korea, Sept. 27, 2025)
Coll. « Lecture Notes in Computer Science », vol. 16205.
pp. 69-80.
Springer.
Emanuel, Olivia M., Miner, Annalise E., Lee, Shannon Y., Matusz, Emily F., Tanner, Jared J., Marsiske, Michael, Holgerson, Allison, Ly, Monica T., Tuz-Zahra, Fatima, Tripodis, Yorghos, Adler, Charles H., Balcer, Laura J., Bernick, Charles, Zetterberg, Henrik, Blennow, Kaj, Ashton, Nicholas J., Peskind, Elaine R., Banks, Sarah J., Barr, William B., Wethe, Jennifer Voreis, Cantu, Robert C., Coleman, Michael J., Dodick, David W., McClean, Michael D., Mez, Jesse, Palmisano, Joseph, Martin, Brett, Lin, Alexander P., Pasternak, Ofer, Koerte, Inga K., Cummings, Jeffrey L., Reiman, Eric M., Shenton, Martha E., Stern, Robert A., Bouix, Sylvain, Alosco, Michael L. et Asken, Breton M..
2026.
« Inflammation, limbic white matter microstructure, and clinical symptoms in retired American football players with repetitive head impacts ».
Neurology, vol. 106, nº 6.
Groh, Jenna R., Miner, Annalise E., Alshikho, Mohamad J., Farris, Chad, Cui, Anna, Pettway, Erika, Labonte, Jacob, Mosaheb, Sydney, Tripodis, Yorghos, Adler, Charles H., Balcer, Laura J., Bernick, Charles, Cantu, Robert C., Coleman, Michael J., Dodick, David W., Ashton, Nicholas J., Zetterberg, Henrik, Blennow, Kaj, Peskind, Elaine R., Nowinski, Christopher, Ly, Monica, Altaras, Caroline, Lenio, Steven, Rabinovici, Gil D., Asken, Breton, Rosen, Howard, Cobigo, Yann, Blusztajn, Jan Krzysztof, Budson, Andrew E., Turk, Katherine, Qiu, Wei Qiao, Goldstein, Lee, Martin, Brett, Palmisano, Joseph N., Dixon, Diane, Schneider, Greta, Steinberg, Eric G., Su, Yi, Protas, Hillary, Pasternak, Ofer, Koerte, Inga, Bouix, Sylvain, Cummings, Jeffrey L., Reiman, Eric M., Shenton, Martha E., Stern, Robert A., McKee, Ann C., Stein, Thor D., Brickman, Adam M., Mez, Jesse et Alosco, Michael L..
2026.
« Imaging the later-life white matter pathologies of repetitive head impacts: A novel pattern revealed through T2 FLAIR MRI ».
Alzheimers & Dementia, vol. 22, nº 4.
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. Cardinal, Patrick
Praveen, R. Gnana, Cardinal, Patrick et Granger, Eric.
2026.
« Weakly supervised learning for facial affective behavior analysis: A review ».
IEEE Transactions on Affective Computing.
Coti, Camille
Jacquet, Pierre, Agusti, Maxime, Caron, Eddy, Coti, Camille, Dias De Assunção, Marcos, Lefèvre, Laurent et Orgerie, Anne-Cécile.
2026.
« Untangling GPU power consumption: Job-level inference in cloud shared settings ».
In EUROSYS 2026 - Proceedings of the 2026 European Conference on Computer Systems (Edinburgh, Scotland, Apr. 27-30, 2026)
624–640.
Association for Computing Machinery, Inc.
Jacquet, Pierre, Coti, Camille, Dias De Assunção, Marcos et Rouvoy, R..
2026.
« Cinergy: Deterministic power monitoring for carbon accounting in the cloud ».
IEEE Transactions on Cloud Computing.
Coulombe, Stéphane
Brochu, Olivier, Leivadeas, Aris et Coulombe, Stéphane.
2026.
« A comprehensive long-duration 8k dataset to benchmark hardware encoding for live 360° video tiled streaming ».
In MMSys '26: Proceedings of the ACM Multimedia Systems Conference 2026 (Hong Kong, China, Apr. 04-08, 2026)
388–394.
Association for Computing Machinery. 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.
Dargahi, Sedigheh, Bouix, Sylvain et Desrosiers, Christian.
2026.
« Susceptibility distortion correction of diffusion MRI with a single phase-encoding direction ».
In Computational Diffusion MRI: 16th International Workshop, CDMRI 2025, Held in Conjunction with MICCAI 2025, Proceedings (Daejeon, South Korea, Sept. 27, 2025)
Coll. « Lecture Notes in Computer Science », vol. 16205.
pp. 69-80.
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.
Zhang, Xinyue, Bahri, Ali, Desrosiers, Christian, Liu, Hui et Bao, Fangxun.
2026.
« M2 SegMamba: Mamba-based incomplete multimodal learning for brain tumor segmentation with few samples ».
IEEE Journal of Biomedical and Health Informatics, vol. 30, nº 3.
pp. 2455-2465. Dias De Assunção, Marcos
Jacquet, Pierre, Coti, Camille, Dias De Assunção, Marcos et Rouvoy, R..
2026.
« Cinergy: Deterministic power monitoring for carbon accounting in the cloud ».
IEEE Transactions on Cloud Computing.
Dias de Assuncao, Marcos
Jacquet, Pierre, Agusti, Maxime, Caron, Eddy, Coti, Camille, Dias De Assunção, Marcos, Lefèvre, Laurent et Orgerie, Anne-Cécile.
2026.
« Untangling GPU power consumption: Job-level inference in cloud shared settings ».
In EUROSYS 2026 - Proceedings of the 2026 European Conference on Computer Systems (Edinburgh, Scotland, Apr. 27-30, 2026)
624–640.
Association for Computing Machinery, Inc. 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.
Fillioux, Leo, Silva-Rodríguez, Julio, Ben Ayed, Ismail, Cournède, Paul-Henry, Vakalopoulou, Maria, Christodoulidis, Stergios et Dolz, Jose.
2026.
« Are foundation models for computer vision good conformal predictors? ».
Transactions on Machine Learning Research, vol. 2026.
Morales-Álvarez, Pablo, Christodoulidis, Stergios, Vakalopoulou, Maria, Piantanida, Pablo et Dolz, Jose.
2026.
« BayesAdapter: Enhanced uncertainty estimation in CLIP few-shot adaptation ».
International Journal of Computer Vision, vol. 134, nº 2.
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.
Duong, LucAbdolmanafi, Atefeh, Duong, Luc, Dahdah, Nagib et Ibrahim, Ragui (inventeurs) 5 mai 2026. « System and method for determining atherosclerotic pathological tissue types in a coronary artery OCT image using trained engines ». École de technologie supérieure (titulaire(s)). Brevet américain US 12616370 B2.
Brignol, Arnaud, Hachem, Bahe et Duong, Luc.
2026.
« Interpretation of model prediction using SHAP coefficients for spine surgery simulations based on finite element modeling and machine learning ».
In Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling (Vancouver, BC, Canada, Feb. 15-19, 2026)
Coll. « Proceedings of SPIE », vol. 13927.
SPIE.
Elmi, Hanad, Andrews, Sheldon, Miro, Joaquim, Gonzalez, Francisco, Segars, Paul, Vancoillie, Liesbeth, Samei, Ehsan et Duong, Luc.
2026.
« Designing patient-specific virtual phantoms for pediatric patients with congenital heart disease ».
In Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling (Vancouver, BC, Canada, Feb. 15-20, 2026)
Coll. « Proceedings of SPIE », vol. 13927.
SPIE.
Mlika, Eya, Hachem, Bahe, Al Habash, Yamen, Degueldre, Loic et Duong, Luc.
2026.
« Predicting facial deformation during respiratory mask fitting with semi-supervised graph neural networks ».
Medical engineering and physics, vol. 147, nº 2.
Dziong, Zbigniew
Boateng, Gordon Owusu, Sami, Hani, Alagha, Ahmed, Elmekki, Hanae, Hammoud, Ahmad, Mizouni, Rabeb, Mourad, Azzam, Otrok, Hadi, Bentahar, Jamal, Muhaidat, Sami, Talhi, Chamseddine, Dziong, Zbignew et Guizani, Mohsen.
2026.
« A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions ».
IEEE Communications Surveys and Tutorials, vol. 28.
pp. 527-566. Ebrahimi-Kahou, Samira
Bricout, Charles, Ebrahimi Kahou, Samira et Bouix, Sylvain.
2026.
« Estimation of head motion in structural MRI and its impact on cortical morphometry ».
Frontiers in Neuroscience, vol. 20.
Kenfack, Patrik, Kahou, Samira Ebrahimi et Aïvodji, Ulrich.
2026.
« Towards fair in-context learning with tabular foundation models ».
Transactions on Machine Learning Research, vol. 2026.
El boussaidi, Ghizlane
Darif, Ikram, El Boussaidi, Ghizlane, Kpodjedo, Segla et Politowski, Cristiano.
2026.
« Controlled natural language approaches for requirements specification: A systematic literature review ».
ACM Computing Surveys, vol. 58, nº 7.
Gascon-Samson, Julien
El Fellah, Yahia, Baptiste Minani, Jean, Moha, Naouel, Gascon-Samson, Julien et Guéhéneuc, Yann-Gaël.
2026.
« Analysis of microservices-based IoT systems: Deployment challenges, industry practices, and performance insights ».
Internet of Things, vol. 36.
Gervais, Sylvie
Mercier, Lucas, Cresson, Thierry, Mezghani, Neila, Gervais, Sylvie et Vazquez, Carlos.
2026.
« Effect of markers in training dataset for markerless applications in biomechanics ».
Journal of Biomechanics, vol. 203.
Granger, Éric
Alehdaghi, Mahdi, Bhattacharya, Rajarshi, Shamsolmoali, Pourya, Menelau Oliveira Cruz, Rafael, Heritier, Maguelonne et Granger, Eric.
2026.
« Beyond patches: Mining interpretable part-prototypes for explainable AI ».
In Fortieth AAAI Conference on Artificial Intelligence (Singapore, Jan. 20-27, 2026)
Coll. « Proceedings of the AAAI Conference on Artificial Intelligence », vol. 40, no 44.
pp. 37213-37221.
Association for the Advancement of Artificial Intelligence.
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 ».
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