Christian Desrosiers

• Co-directed by: Desrosiers, Christian
  Modèle stochastique de compensation du mouvement cardiaque lors d'interventions percutanées des artères coronaires, by Hadida,Jonathan.
  Winter 2012
  
• Co-directed by: Vouligny, Luc
  Système de réalité augmentée pour la détection et l'analyse temps-réel d'équipement de réseau électrique, by Beaudoin,Olivier.
  Winter 2020
  
• Co-directed by: Vàzquez, Carlos
  Estimation du champ dense de mouvement pour la génération semi-automatique de cartes de profondeur, by Rocheleau,Etienne.
  Winter 2017
  
• Co-directed by: Desrosiers, Christian
  Évaluation d'une nouvelle technique de compensation du mouvement des artères coronaires à partir d'une angiographie, by Martin,Jean-Philippe.
  Fall 2015
  
• Co-directed by: Desrosiers, Christian
  Synthèse de diffusion sur variété riemannienne à partir d’imagerie structurelle en haute-résolution, by Anctil-Robitaille,Benoit.
  Fall 2021
  
• Co-directed by: Tremblay, Christine
  Approches d'apprentissage automatique pour la prédiction de la qualité de performance dans les réseaux optiques opérationnels, by Mezni,Ameni.
  Fall 2020
  
• Co-directed by: Desrosiers, Christian
  Improving Robustness in Scale-Invariant Deep Learning with Adaptive Step Decay Learning Rate Schedule, by Ashrafnejad,Arash.
  Fall 2023
  
• Co-directed by: Desrosiers, Christian
  Forecasting Lightpath Quality of Transmission and Implementing Uncertainty in the Forecast Models, by Yousefi,Somaiieh.
  Fall 2021
  
• Co-directed by: Desrosiers, Christian
  Fault Analysis and Multivariate Forecasting Study of Field Lightpath Data, by Mahmoudialami,Ali.
  Summer 2022
  
• Co-directed by: Desrosiers, Christian
  Normalisation réaliste d’images médicales pour de la segmentation multi-domaine, by Delisle,Pierre-Luc.
  Winter 2021
  
• Co-directed by: Desrosiers, Christian
  On Domain-Incremental Learning Methods and its Applications to Forgery Detection, by Nicolas,Julien.
  Summer 2023
  
• Co-directed by: Desrosiers, Christian
  Detection of Anomalies in Optical Time-Domain Reflectometer (OTDR) Traces, by Tabatabaei,Mina.
  Fall 2023
  

• Étude préliminaire et recommandations pour l'implantation d'un système d'intelligence d'affaires à l'École de technologie supérieure, by Le,Christophe.
  Summer 2011
  
• Programme de détection d'émotions sur des séquences vidéos, by Bouka,Badr.
  Fall 2011
  
• Développement de techniques pour l'optimisation d'entrepôts de données RFID temps réel, by Lamarre,Charles Smith.
  Fall 2013
  
• Co-directed by: Langheit, Christian
  Mise en place d'un environnement d'intelligence d'affaires pour la gestion des actifs d'Hydro-Québec, by Atif,Adil.
  Fall 2013
  
• Co-directed by: Desharnais, Jean-Marc
  Analyse partielle de la qualité des informations pour les modèles d'estimation et de productivité des logiciels dans l'industrie, by Gakuba,Nicole.
  Fall 2013
  
• Mineral 0.2 : Prototype d'un moteur de recherche intelligent basé sur les technique de forage de textes, by Quemener,Christopher.
  Summer 2013
  
• Analyse et amélioration de la performance des services du soutien à domicile (SAD) au CSSS Dorval-Lachine-Lasalle, by Houetognon,Akossiwa.
  Summer 2013
  
• Co-directed by: April, Alain
  Implémentation d'une solution de BI pour optimiser la gestion des heures de travail au département de médecine de diagnostique de l'Hôpital Juif de Montréal, by Savoiu,Luise-Mariana.
  Winter 2014
  
• Co-directed by: Desrosiers, Christian
  Développement d'outils logiciels et d'algorithmes pour prédire les performances des réseaux optiques, by Parmelan,Paul-Louis.
  Summer 2021
  
• Projet d'intelligence d'affaires pour la Sûreté du Québec, by Mangeot,Benjamin.
  Fall 2018
  
• Co-directed by: Tremblay, Christine
  Development of Software Tools and Algorithms for Prediction of Anomalies in Optical Network Equipment, by Ngani Sigue,Philippe Alain.
  Winter 2021
  

• Co-directed by: Piéraut, Francis
  Optimisation d'un service temps-réel de fouille de données dans le nuage, by Yanez Hoyos,David Alejandro.
  Winter 2014
  

• Co-directed by: Desrosiers, Christian
  Motion Estimation Algorithms for Video Compression Through Successive Elimination, by Trudeau,Luc.
  Winter 2017
  
• Co-directed by: Desrosiers, Christian
  Nouvelle approche d'adaptation de modèle et d'intégration des données pour les recherches de médecine de précision, by Belghait,Fodil.
  Fall 2020
  
• Sparse and Low-Rank Techniques for the Efficient Restoration of Images, by Zhang,Mingli.
  Winter 2018
  
• Data-driven Methods for Characterizing Individual Differences in Brain MRI, by Kumar,Kuldeep.
  Winter 2018
  
• Co-directed by: Desrosiers, Christian
  Apprentissage profond de formes manuscrites pour la reconnaissance et le repérage efficace de l'écriture dans les documents numérisés, by Mhiri,Mohamed.
  Fall 2018
  
• Co-directed by: Jodoin, Pierre-Marc
  Privacy Preservation in Medical Image Analysis, by Kim,Ngoc Bach.
  Fall 2023
  
• Co-directed by: Vouligny, Luc
  Méthodologie de génération d'applications auto-adaptatives grâce à un cadre de développement dirigé par les ontologies, by Bhérer,Louis.
  Fall 2020
  
• Co-directed by: Pedersoli, Marco
  Reduced Supervision Methods for Medical Image Segmentation, by Peng,Jizong.
  Summer 2022
  
• Co-directed by: Desrosiers, Christian
  Geometrical Learning of Brain Surface Data, by Gopinath,Karthik.
  Fall 2021
  
• Co-directed by: Desrosiers, Christian
  Real-Time Video QoS/QoE Prediction and Optimization, by Kossi,Koffi Ségnédji.
  Fall 2023
  
• Co-directed by: Lodygensky, Gregory A.
  Noenatal brain assessment from brain MRI, by Beizaee,Farzad.
  Fall 2023
  
• Co-directed by: Desrosiers, Christian
  Realistic Few-Shot Learning for Computer Vision, by Vargas Hakim,Gustavo Adolfo.
  Fall 2023
  
• Co-directed by: Desrosiers, Christian
  Failure Detection and Fault Management in the Optical Line System, by Hedayatnejad,Maryam.
  Fall 2023
  
• Co-directed by: Ben Ayed, Ismail
  6D Object Pose Estimation Based on Deep Learning, by Bahri,Ali.
  Fall 2023
  
• Co-directed by: Zhang, Caiming
  Medical Image Segmentation Under Challenging Scenarios, by Wang,Ping.
  Fall 2023
  
• Co-directed by: Ben Ayed, Ismail
  Computer Vision Methods Adapting to New Domains with few Samples, by Osowiechi,David.
  Fall 2023
  
• Co-directed by: Ben Ayed, Ismail
  Vision-Based Unseen Domain Generalization using Deep Learning, by Noori,Mehrdad.
  Fall 2023
  
• Co-directed by: Desrosiers, Christian
  Apprentissage géométrique actif pour la segmentation d'images médicales sous incertitude, by Gaillochet,Mélanie.
  Fall 2023
  

• Co-directed by: Vouligny, Luc
  Mise en place d'une infrastructure logicielle permettant d'intégrer l'information de différents systèmes hétérogènes dans une ontologie d'entreprise, by Findji Fwimbia,Gabriel.
  Winter 2013
  
• Conception et intégration d'un projet BI, by Barrou,Rémi.
  Summer 2014
  
• Co-directed by: Laberge, Sylvie
  Système analytique de données GPS pour assister les enquêteurs de la Sûreté du Québec, by Lima,Danilo.
  Fall 2015
  
• Co-directed by: Galiana, Isabel
  Implémentation d'un système de diagnostic intelligent à partir de mesures du mouvement des yeux, by Diot,Tiphaine.
  Summer 2020
  
• Co-directed by: Tremblay, Christine
  Développement d'outils logiciels et d'algorithmes pour la prédiction d'anomalies dans les équipements de réseau optique, by Ngongang Somen,Bill Diego.
  Fall 2019
  
• Co-directed by: Seye, Cheikh Abdou
  Architecture de données dans un contexte de migration technologique, by Honou,Senan Loïc.
  Fall 2022
  
• Gestion de la résilience et des performances de l'application, by Nahhas,Badreddine.
  Summer 2022
  
• Gestion d'un projet d'ingénierie, d'approvisionnement et de construction chez EDF renouvelables pour la prévention du givrage des pâles au parc éolien Mont-Rothey, by Osorio Urrea,Diana Alexandra.
  Fall 2022
  
• Co-directed by: Porto, Veronica
  Fiabilisation des données médico-cliniques de l'endoscopie et du bloc opératoire du CIUSSS de l'ouest-de-l'île de Montréal, by Matsi Talla,Vanelle Cindy.
  Summer 2021
  
• Co-directed by: Ménard, Bruno
  Apprentissage continu supervisé et semi-supervisé pour réseaux neuronaux, by Menetrier,Rhys-Sylvain.
  Summer 2021
  
• Co-directed by: Gervais, Alexandre
  Implémentation d'un algorithme de machine learning pour la détection et la classification de défauts dans un contexte industriel, by Hillairet,Kevin.
  Winter 2021
  

• Rapport de stage STA802, by Toko,Jean Pierre.
  Fall 2014
  
• Rapport de stage - Caisse de dépôt et placement du Québec, by Faivre,Hugo.
  Summer 2019
  
• Stagiaire spécialiste d'intégration, by Chapelet,Alexis.
  Summer 2021
  
• Rapport technique de stage chez Poka, by Nahhas,Badreddine.
  Summer 2022
  
• Développement d'un projet d'application permettant de faire la fusion d'information dans un contexte opérationnel en extrayant et exploitant efficacement les produits de l'information Open Intelligence (OSINT), by Colas,Ezéchiel.
  Fall 2018
  
• Mise en place d'un système de génération des listes d'appels de clients pour le système SERTI à l'aide d'un ETL, by Tenekeu Chibemen,Armelle.
  Fall 2017
  
• Gestion de l'information et tableau de bord, by Matsi Talla,Vanelle Cindy.
  Summer 2021
  

• Découverte de connaissance dans des bases de données de marketing pour prédire la loyauté des clients, by Bisson,Tommy.
  Summer 2015
  
• Co-directed by: Tremblay, Christine
  Tableau de bord pour l'analyse de performance de liaisons optiques, by Djeukui Nana,Claude Michelle.
  Fall 2017
  

• Co-directed by: Happy, Lyne
  Moteur de recommandations, by Deslandes,Antoine.
  Summer 2020
  

• Uniformisation des transformations ETL de différents systèmes en une seule transformation générique, by Tenekeu Chibemen,Armelle.
  Fall 2017
  

Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz. 2023. « Harmonizing flows: Unsupervised MR harmonization based on normalizing flows ». Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) p. 347-359. Springer.

David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers. 2023. « TTTFlow: Unsupervised Test-Time Training with Normalizing Flow ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) p. 2125-2133. Institute of Electrical and Electronics Engineers Inc..

Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers. 2023. « Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation ». Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) p. 717-729. Springer.

Yujie Li, Benying Tan, Shuxue Ding, Christian Desrosiers, Ahmad Chaddad. 2023. « Symmetry structured analysis sparse coding for key frame extraction ». Machine Learning for Cyber Security : 4th International Conference, ML4CS (Guangzhou, China, Dec. 02-04, 2022) p. 568-585. Springer Science and Business Media.

Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger. 2023. « Camera alignment and weighted contrastive learning for domain adaptation in video person ReID ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) p. 1624-1633. Institute of Electrical and Electronics Engineers Inc..

M. Yazdanpanah, A. A. Rahman, M. Chaudhary, C. Desrosiers, M. Havaei, E. Belilovsky, S. E. Kahou. 2022. « Revisiting learnable affines for batch norm in few-shot transfer learning ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022) p. 9099-99108. Piscataway, NJ, USA : IEEE.

Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert. 2022. « TAAL: Test-time augmentation for active learning in medical image segmentation ». Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 22, 2022) p. 43-53. Springer.

H. Kervadec, J. Dolz, J. Yuan, C. Desrosiers, E. Granger, I. Ben Ayed. 2022. « Constrained deep networks: Lagrangian optimization via Log-barrier extensions ». 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022) p. 962-966. European Signal Processing Conference, EUSIPCO.

Xuan Li, Christian Desrosiers, Xue Liu. 2022. « Symmetric contrastive loss for out-of-distribution skin lesion detection ». 19th IEEE International Symposium on Biomedical Imaging (ISBI) (Kolkata, India, Mar. 28-31, 2022) IEEE Computer Society.

Jinhua Liu, Christian Desrosiers, Yuanfeng Zhou. 2022. « Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings VIII (Singapore, Singapore, Sept. 18-22, 2022) p. 140-150. Springer Science and Business Media Deutschland GmbH.

Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert. 2021. « Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ». Computational Diffusion MRI : International MICCAI Workshop 2020 (Lima, Peru - En ligne, Oct. 08, 2020) p. 213-224. Springer Science and Business Media.

Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli. 2021. « Self-paced contrastive learning for semi-supervised medical image segmentation with meta-labels ». Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (En ligne, Dec. 06-14, 2021) p. 16686-16699. Neural information processing systems foundation.

Hussein Chouman, Petar Djukic, Christine Tremblay, Christian Desrosiers. 2021. « Forecasting lightpath QoT with deep neural networks ». Optical Fiber Communications Conference and Exhibition (OFC) - Proceedings (San Francisco, CA, USA, June 06-10, 2021) IEEE.

Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers. 2021. « Context-aware virtual adversarial training for anatomically-plausible segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I (Strasbourg, France, Sept. 27-Oct. 01, 2021) p. 304-314. Springer Science and Business Media Deutschland GmbH.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2021. « Teach me to segment with mixed supervision: Confident students become masters ». 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, Virtual, Online, 28 June 2021 - 30 June 2021 (En ligne, June 28-20, 2021) p. 517-529. Springer.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2021. « SegRecon : Learning joint brain surface reconstruction and segmentation from images ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII (Strasbourg, France, Sept. 27-Oct. 01, 2021) p. 650-659. Springer Science and Business Media.

Jie Mei, Cecilia Tremblay, Nikola Stikov, Christian Desrosiers, Johannes Frasnelli. 2021. « Differentiation of Parkinson's disease and non-Parkinsonian olfactory dysfunction with structural MRI data ». Medical Imaging : Image Processing : Progress in Biomedical Optics and Imaging (En ligne, Feb. 15-19, 2021) SPIE.

Ameni Mezni, Douglas W. Charlton, Christine Tremblay, Christian Desrosiers. 2020. « Deep learning for multi-step performance prediction in operational optical networks ». Conference on Lasers and Electro-Optics (CLEO) (San Jose, CA, USA, May 10-15, 2020) IEEE.

A. Chaddad, M. Zhang, C. Desrosiers, T. Niazi. 2020. « Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma ». 1st International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, October 13, 2019 - October 13, (Shenzen, China, Oct. 13, 2019) p. 36-43. Springer.

Benoit Anctil-Robitaille, Christian Desrosiers, Hervé Lombaert. 2020. « Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ». MICCAI 2020 Workshop on Computational Diffusion MRI (En ligne, Oct. 08, 2020)

Jizong Peng, Marco Pedersoli, Christian Desrosiers. 2020. « Mutual information deep regularization for semi-supervised segmentation ». Proceedings of the Third Conference on Medical Imaging with Deep Learning (Montreal, QC, Canada, July 06-08, 2020) p. 601-613. PMLR.

He Ran, Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2020. « Spectral graph transformer networks for brain surface parcellation ». IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020) p. 372-376. Piscataway, NJ, USA : IEEE.

Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Hervé Lombaert. 2020. « Adversarial normalization for multi domain image segmentation ». IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020) p. 849-853. IEEE.

Firouzeh Golaghazadeh, Petar Djukic, Christine Tremblay, Christian Desrosiers. 2020. « Forecasting SNR margins has low-complexity ». Proceedings OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF) (Washington, DC, USA, July 13-16, 2020) OSA - The Optical Society.

Karthik Gopinath, Christian Desrosiers, Hervé Lombaert. 2020. « Graph domain adaptation for alignment-invariant brain surface segmentation ». Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, (Lima, Peru, Oct. 08, 2020) p. 152-163. Springer.

Kaveh Kamali, Ilian A. Bonev, Christian Desrosiers. 2020. « Real-time motion planning for robotic teleoperation using dynamic-goal deep reinforcement learning ». 17th Conference on Computer and Robot Vision (CRV) (Ottawa, ON, Canada, May 13, 2020 - May 15, 2020) p. 182-189. Institute of Electrical and Electronics Engineers Inc..

Fodil Belghait, Alain April, Pavel Hamet, Johanne Tremblay, Christian Desrosiers. 2019. « A large-scale and extensible platform for precision medicine research ». 9th International Conference on Digital Public Health (DPH) (Marseille, France, Nov. 20-23, 2019) p. 47-54. Association for Computing Machinery.

Nicolas Tremblay, Kaveh Kamali, Philippe Cardou, Christian Desrosiers, Marc Gouttefarde, Martin J.-D. Otis. 2019. « Eye-on-hand calibration method for cable-driven parallel robots ». Cable-Driven Parallel Robots: 4th International Conference on Cable-Driven Parallel Robots (Krakow, Poland, June 30-July 04, 2019) p. 345-356. Springer Netherlands.

Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques De Guise, William Wells, Matthew Toews. 2019. « Analyzing brain morphology on the bag-of-features manifold ». Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019) p. 45-56. Springer Verlag.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2019. « Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities ». Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I (Granada, Spain, Sept. 16, 2018) p. 271-282. Cham, Switzerland : Springer.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2019. « IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet ». Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers (Granada, Spain, Sept. 16, 2018) p. 130-143. Springer Verlag.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2019. « Adaptive graph convolution pooling for brain surface analysis ». Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019) p. 86-98. Springer Verlag.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed. 2019. « Boundary loss for highly unbalanced segmentation ». Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR) (London, England, July 08-10, 2019) p. 285-296. PMLR.

Zhang Mingli, Christian Desrosiers, Guo Yuhong, Zhang Caiming, Budhachandra Khundrakpam, Alan Evans. 2018. « Brain status prediction with non-negative projective dictionary learning ». Machine Learning in Medical Imaging. 9th International Workshop (MLMI 2018) held in conjunction with MICCAI 2018, 16 Sept. 2018 (Granada, Spain, Sept. 16, 2018) p. 152-160. Cham, Switzerland : Springer International Publishing.

Jizong Peng, Christian Desrosiers, Marco Pedersoli. 2018. « DC-SegNet: a discretely constrained deep network for weakly supervised segmentation ». 32nd Conference on Neural Information Processing Systems (NIPS 2018) - Medical Imaging Meets NIPS Workshop (MED-NEURIPS 2018) (Montreal, QC, Canada, Dec. 08, 2018)

Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques de Guise, Matthew Toews. 2018. « Diffusion Orientation Histograms (DOH) for diffusion weighted image analysis ». Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Montreal, QC, Canada, Sept. 10, 2017) p. 91-99. Springer International Publishing.

Jose Dolz, Ismail Ben Ayed, Yuan Jing, Christian Desrosiers. 2018. « Isointense infant brain segmentation with a hyper-dense connected convolutional neural network ». IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Washington, DC, USA, Apr. 04-07, 2018) p. 616-620. Piscataway, NJ, USA : IEEE.

Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers. 2018. « Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI ». Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Québec, QC, Canada, 10 sept. 2017) p. 219-228. Springer International Publishing.

Prasun Lala, Félix Langevin Harnois, Ghizlaine El Boussaidi, Christian Desrosiers, Catherine Laporte. 2018. « Providing sustainable scientific writing support for graduate engineering students by creating a local scientific learning community ». 2018 ASEE Annual Conference & Exposition (Salt Lake City, UT, USA, June 24-27, 2018) American Society for Engineering Education.

Félix Langevin Harnois, Jerome Harrison, Prasun Lala, Ghizlaine El Boussaidi, Christian Desrosiers, Catherine Laporte. 2018. « Promoting good scientific communication habits by leveraging the community of practice within a single research group ». 2018 ASEE Annual Conference & Exposition (Salt Lake City, UT, USA, June 24-27, 2018) American Society for Engineering Education.

Mohamed Mhiri, Sherif Abuelwafa, Christian Desrosiers, Mohamed Cheriet. 2017. « Footnote-based document image classification using 1D convolutional neural networks and histograms ». Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Montreal, QC, Canada, Nov. 28 - Dec. 01, 2017) Piscataway, NJ, USA : IEEE.

Mohamed Mhiri, Mohamed Cheriet, Christian Desrosiers. 2017. « Query-by-example word spotting using multiscale features and classification in the space of representation differences ». IEEE International Conference on Image Processing (ICIP) (Beijing, China, Sept. 17-20, 2017) p. 1112-1116. Piscataway, NJ, USA : IEEE.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017. « DOPE: distributed optimization for pairwise energies ». IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Honolulu, HI, USA, July 21-26, 2017) p. 4095-4104. IEEE Computer Society.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017. « Unbiased shape compactness for segmentation ». Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I (Quebec City, QC, Canada, Sept. 11-13, 2017) p. 755-763. Springer Verlag.

Mingli Zhang, Christian Desrosiers. 2017. « Image completion with global structure and weighted nuclear norm regularization ». 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017) p. 4187-4193. Piscataway, NJ, USA : IEEE.

Mingli Zhang, Christian Desrosiers, Caiming Zhang. 2017. « Effective compressive sensing via reweighted total variation and weighted nuclear norm regularization ». IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (New Orleans, LA, USA, Mar. 05-09, 2017) p. 1802-1806. IEEE.

Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers. 2017. « White matter fiber segmentation using functional varifolds ». Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec (Québec, QC, Canada, Sept. 10-14, 2017) p. 92-100. Springer.

Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews. 2016. « Multispectral texture analysis of histopathological abnormalities in colorectal tissues ». IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016) p. 2628-2632. IEEE.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016. « GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes ». Medical Imaging 2016: Image Processing (San Diego, CA, USA, Fev. 28-Mar. 2, 2016) SPIE.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016. « Local discriminative characterization of MRI for Alzheimer's disease ». 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016) p. 1-5. Piscataway, NJ, USA : IEEE.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016. « Phenotypic characterization of glioblastoma identified through shape descriptors ». Medical Imaging 2016: Computer-Aided Diagnosis (San Diego, CA, USA, Feb. 28-Mar. 02, 2016) SPIE.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016. « Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme ». 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Orlando, FL, USA, Aug. 16-20, 2016) p. 4035-4038. Piscataway, NJ, USA : IEEE.

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2016. « Sub-partition reuse for fast optimal motion estimation in HEVC successive elimination algorithms ». IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016) p. 2003-2007. IEEE.

Mingli Zhang, Christian Desrosiers. 2016. « Robust MRI reconstruction via re-weighted total variation and non-local sparse regression ». IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) (Montreal, QC, Canada, Sept. 21-23, 2016) IEEE.

Mingli Zhang, Christian Desrosiers, Qiang Qu, Fenghua Guo, Caiming Zhang. 2016. « Medical image super-resolution with non-local embedding sparse representation and improved IBP ». 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Shanghai, China, Mar. 20-25, 2016) p. 888-892. IEEE.

Mingli Zhang, Kuldeep Kumar, Christian Desrosiers. 2016. « A weighted total variation approach for the atlas-based reconstruction of brain MR data ». IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016) p. 4329-4333. IEEE.

Mingli Zhang, Qiang Qu, Sadegh Nobari, Christian Desrosiers. 2016. « LRI: a low rank approach to non-local sparse representation for image interpolation ». International Joint Conference on Neural Networks (IJCNN) (Vancouver, BC, Canada, July 24-29, 2016) p. 3016-3022. Piscataway, NJ, USA : IEEE.

Kuldeep Kumar, Christian Desrosiers. 2016. « A sparse coding approach for the efficient representation and segmentation of white matter fibers ». 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016) p. 915-919. Piscataway, NJ, USA : IEEE.

Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews. 2016. « Spatially constrained sparse regression for the data-driven discovery of neuroimaging biomarkers ». 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016) p. 2162-2167. IEEE.

Alvine Boaye Belle, Ghizlane El Boussaidi, Christian Desrosiers, Segla Kpodjedo, Hafedh Mili. 2015. « The layered architecture recovery as a quadratic assignment problem ». Software Architecture : 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings (Cham, Switzerland, Sept. 7-11, 2015) p. 339-354. Springer International Publishing.

Tarik Boukhalfi, Christian Desrosiers, Eric Paquette. 2015. « A machine learning approach to automate facial expressions from physical activity ». 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Full Papers Proceedings (Pilsen, Czech Republic, June 8-12, 2015) p. 81-88. Vaclav Skala - Union Agency.

Faten M'Hiri, T. Hoang Ngan Le, Luc Duong, Christian Desrosiers, Mohamed Cheriet. 2015. « Hierarchical segmentation and tracking of coronary arteries in 2D X-ray angiography sequences ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 1707-1711. Piscataway, NJ, USA : IEEE.

Alpa Jayesh Shah, Christian Desrosiers, Robert Sabourin. 2015. « Contextual anomaly detection using log-linear tensor factorization ». Advances in Knowledge Discovery and Data Mining : 19th Pacific-Asia Conference, PAKDD 2015. Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II (Ho Chi Minh City, Vietnam, May 19-22, 2015) p. 165-176. Cham, Switzerland : Springer International Publishing.

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2015. « An adaptive search ordering for rate-constrained successive elimination algorithms ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 207-211. IEEE.

Christian Desrosiers. 2015. « Unsupervised segmentation using dynamic superpixel random walks ». 2015 International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 1772-1776. IEEE.

Mingli Zhang, Christian Desrosiers, Caiming Zhang, Mohamed Cheriet. 2015. « Effective document image deblurring via gradient histogram preservation ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 779-783. Piscataway, NJ, USA : IEEE.

Stefan Karnyaczki, Christian Desrosiers. 2015. « A sparse coding method for semi-supervised segmentation with multi-class histogram constraints ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 3215-3219. Piscataway, NJ, USA : IEEE.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi. 2015. « Brain fiber clustering using non-negative kernelized matching pursuit ». Machine Learning in Medical Imaging. 6th International Workshop, MLMI 2015, held in conjunction with MICCAI 2015. Proceedings (Munich, Germany, Oct. 5, 2015) p. 144-152. Cham, Switzerland : Springer International Publishing.

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2014. « Rate distortion-based motion estimation search ordering for rate-constrained successive elimination algorithms ». 2014 IEEE International Conference on Image Processing (ICIP) (Paris, France, Oct. 27-30, 2014) p. 3175-3179. Institute of Electrical and Electronics Engineers.

Christian Desrosiers. 2014. « A fast and adaptive random walks approach for the unsupervised segmentation of natural images ». 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014) p. 130-135. Los Alamitos, CA, USA : IEEE Computer Society.

Christian Desrosiers. 2014. « An unsupervised random walk approach for the segmentation of brain MRI ». 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (Beijing, China, Apr. 29 - May 2, 2014) p. 337-340. Institute of Electrical and Electronics Engineers Inc..

Faten M'Hiri, Luc Duong, Christian Desrosiers, Mohamed Cheriet. 2013. « Vessel Walker: Coronary Arteries Segmentation Using Random Walks And Hessian-Based Vesselness Filter ». 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2013) (San Francisco, CA, USA, Apr. 7-11, 2013) p. 918-921. Piscataway, NJ, USA : IEEE.

Alvine Boaye-Belle, Ghizlane El Boussaidi, Christian Desrosiers, Hafedh Mili. 2013. « The layered architecture revisited: Is it an optimization problem? ». Proceedings of the Twenty-Fifth International Conference on Software Engineering & Knowledge Engineering (SEKE 2013) (Boston, MA, USA, June 27-29, 2013) p. 344-349. Knowledge Systems Institute Graduate School.

Faten M'Hiri, Luc Duong, Christian Desrosiers. 2012. « Combining Laplacian eigenmaps and vesselness filters for vessel segmentation in X-ray angiography ». 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Providence, RI, USA, June 16-21, 2012) p. 70-75. Piscataway, N.J. : IEEE Computer Society.

Jean-Philippe Morin, Christian Desrosiers, Luc Duong. 2012. « A random walk approach for multiatlas-based segmentation ». 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012) p. 3636-3639. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..

Jean-Philippe Morin, Christian Desrosiers, Luc Duong. 2012. « Atlas-based segmentation of brain magnetic resonance imaging using random walks ». 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Providence, RI, USA, June 16-21, 2012) p. 44-49. Piscataway, N.J. : IEEE Computer Society.

Jean-Philippe Morin, Christian Desrosiers, Luc Duong. 2012. « Image segmentation using random-walks on the histogram ». Medical Imaging 2012: Image Processing (San Diego, CA, USA, Feb. 6-9, 2012) SPIE.

Jonathan Hadida, Christian Desrosiers, Luc Duong. 2012. « Stochastic 3D motion compensation of coronary arteries from monoplane angiograms ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I (Nice, France, Oct. 1-5, 2012) p. 651-658. Berlin, Germany : Springer Verlag.

Jonathan Hadida, Christian Desrosiers, Luc Duong. 2011. « Intensity-based hierarchical clustering in CT-scans : application to interactive segmentation in cardiology ». Medical Imaging : Visualization, Image-Guided Procedures, and Modeling (Lake Buena Vista, FL, USA, Feb. 13-15, 2011) Bellingham, WA, USA : SPIE - The International Society for Optical Engineering.

Christian Desrosiers, George Karypis. 2010. « A novel approach to compute similarities and its application to item recommendation ». 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI) : Trends in Artificial Intelligence (Daegu, Korea, Aug. 30-Sept. 2, 2010) p. 39-51. Berlin, Germany : Springer Berlin / Heidelberg.

Christian Desrosiers, George Karypis. 2010. « Enhancing link-based similarity through the use of non-numerical labels and prior information ». Proceedings of the Eighth Workshop on Mining and Learning with Graphs (Washington, D.C., USA, July 24-25, 2010) p. 26-33. New York, NY, USA : Association for Computing Machinery.

Farzad Beizaee, Michele Bona, Christian Desrosiers, Jose Dolz, Gregory Lodygensky. 2023. « Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks ». Scientific Reports. vol. 13 , nº 1.

Ahmad Chaddad, Guina Tan, Xiaojuan Liang, Lama Hassan, Saima Rathore, Christian Desrosiers, Yousef Katib, Tamim Niazi. 2023. « Advancements in MRI-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects ». Cancers. vol. 15 , nº 15.

Ping Wang, Jizong Peng, Marco Pedersoli, Yuan-Feng Zhou, Cai-Ming Zhang, Christian Desrosiers. 2023. « CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation ». IEEE Transactions on Medical Imaging. vol. 42 , nº 8. p. 2146-2161.

Ping Wang, Jizong Peng, Marco Pedersoli, Yuan-Feng Zhou, Cai-Ming Zhang, Christian Desrosiers. 2023. « Shape-aware joint distribution alignment for cross-domain image segmentation ». IEEE Transactions on Medical Imaging. vol. 42 , nº 8. p. 2338-2347.

Somaiieh Yousefi, Hussein Chouman, Petar Djukic, Firouzeh Golaghazadeh, Christine Tremblay, Christian Desrosiers. 2023. « Forecasting lightpath quality of transmission and implementing uncertainty in the forecast models ». Journal of Lightwave Technology. vol. 41 , nº 15. p. 4871-4881.

Xuan Li, Christian Desrosiers, Xue Liu. 2023. « Deep neural forest for out-of-distribution detection of skin lesion images ». IEEE Journal of Biomedical and Health Informatics. vol. 27 , nº 1. p. 157-165.

Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz. 2023. « Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ». Medical Image Analysis. vol. 83

Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi. 2022. « Deep radiomic signature with immune cell markers predicts the survival of glioma patients ». Neurocomputing. vol. 469 p. 366-375.

Ahmad Chaddad, Lama Hassan, Christian Desrosiers. 2022. « Deep radiomic analysis for predicting coronavirus disease 2019 in computerized tomography and X-ray images ». IEEE Transactions on Neural Networks and Learning Systems. vol. 33 , nº 1. p. 3-11.

Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William Wells, Matthew Toews. 2022. « Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets ». IEEE Transactions on Medical Imaging. vol. 41 , nº 4. p. 836-845.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2022. « Learnable pooling in graph convolutional networks for brain surface analysis ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 44 , nº 2. p. 864-876.

Koffi Kossi, Stéphane Coulombe, Christian Desrosiers, Ghyslain Gagnon. 2022. « No-reference video quality assessment using distortion learning and temporal attention ». IEEE Access. vol. 10 p. 41010-41022.

Jinhua Liu, Zhiming Cui, Christian Desrosiers, Shuyi Lu, Yuanfeng Zhou. 2022. « Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation ». Medical Image Analysis. vol. 81

Ahmad Chaddad, Lama Hassan, Christian Desrosiers. 2021. « Deep CNN models for predicting COVID-19 in CT and X-ray images ». Journal of medical imaging. vol. 8 , nº suppl. 1.

Antoine Theberge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin. 2021. « Track-to-Learn: A general framework for tractography with deep reinforcement learning ». Medical Image Analysis. vol. 72 18 p.

Ahmad Chaddad, Jiali Li, Qizong Lu, Yujie Li, Idowu Paul Okuwobi, Camel Tanougast, Christian Desrosiers, Tamim Niazi. 2021. « Can autism be diagnosed with artificial intelligence? A narrative review ». Diagnostics. vol. 11 , nº 11. 16 p.

Ahmad Chaddad, Paul Sargos, Christian Desrosiers. 2021. « Modeling texture in deep 3D CNN for survival analysis ». IEEE Journal of Biomedical and Health Informatics. vol. 25 , nº 7. p. 2454-2462.

Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert. 2021. « Realistic image normalization for multi-Domain segmentation ». Medical Image Analysis. vol. 74 14 p.

Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers. 2021. « Self-paced and self-consistent co-training for semi-supervised image segmentation ». Medical Image Analysis. vol. 73 13 p.

Guangshun Wei, Long Ma, Chen Wang, Christian Desrosiers, YuanFeng Zhou. 2021. « Multi-task joint learning of 3D keypoint saliency and correspondence estimation ». CAD Computer Aided Design. vol. 141 13 p.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, José Dolz, Ismail Ben Ayed. 2021. « Boundary loss for highly unbalanced segmentation ». Medical Image Analysis. vol. 67 11 p.

Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers. 2021. « Privacy-net: An adversarial approach for identity-obfuscated segmentation of medical images ». IEEE Transactions on Medical Imaging. vol. 40 , nº 7. p. 1737-1749.

Jie Mei, Christian Desrosiers, Johannes Frasnelli. 2021. « Machine learning for the diagnosis of parkinson's disease: A review of literature ». Frontiers in Aging Neuroscience. vol. 13

Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers. 2020. « Deep co-training for semi-supervised image segmentation ». Pattern Recognition. vol. 107 13 p.

Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers. 2020. « Discretely-constrained deep network for weakly supervised segmentation ». Neural Networks. vol. 130 p. 297-308.

Ahmad Chaddad, Michael J. Kucharczyk, Christian Desrosiers, Idowu Paul Okuwobi, Yousef Katib, Mingli Zhang, Saima Rathore, Paul Sargos, Tamim Niazi. 2020. « Deep radiomic analysis to predict gleason score in prostate cancer ». IEEE Access. vol. 8 p. 167767-167778.

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2020. « Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC ». Signal Processing : Image Communication. vol. 81 14 p.

Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Marc Vangel, Jacques de Guise, Christian Desrosiers, William Wells, Matthew Toews. 2020. « Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives ». NeuroImage. vol. 204 9 p.

Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed. 2020. « Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ». Computerized Medical Imaging and Graphics. vol. 79

Banti Laure M. Yaméogo, Douglas W. Charlton, David Doucet, Christian Desrosiers, Maurice O' Sullivan, Christine Tremblay. 2020. « Trends in optical span loss detected using the time series decomposition method ». Journal of Lightwave Technology. vol. 38 , nº 18. p. 5026-5035.

Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra Khundrakpam, Noor Al-Sharif, Greg Kiar, Pedro Valdes-Sosa, Jean-Baptiste Poline, Alan Evans. 2020. « Brain status modeling with non-negative projective dictionary learning ». NeuroImage. vol. 206

Jin-Gong Jia, Yuan-Feng Zhou, Xing-Wei Hao, Feng Li, Christian Desrosiers, Cai-Ming Zhang. 2020. « Two-stream temporal convolutional networks for skeleton-based human action recognition ». 计算机科学技术学报 = Journal of Computer Science and Technology. vol. 35 , nº 3. p. 538-550.

Kaveh Kamali, Ali Akbar Akbari, Christian Desrosiers, Alireza Akbarzadeh, Martin J. D. Otis, Johannes C. Ayena. 2020. « Low-rank and sparse recovery of human gait data ». Sensors. vol. 20 , nº 16. 13 p.

Jinhua Liu, Christian Desrosiers, Yuanfeng Zhou. 2020. « Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation ». Neurocomputing. vol. 411 p. 139-148.

Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim. 2019. « Novel radiomic features based on joint intensity matrices for predicting glioblastoma patient survival time ». IEEE Journal of Biomedical and Health Informatics. vol. 23 , nº 2. p. 795-804.

Ahmad Chaddad, Paul Daniel, Siham Sabri, Christian Desrosiers, Bassam Abdulkarim. 2019. « Integration of radiomic and multi-omic analyses predicts survival of newly diagnosed IDH1 wild-type glioblastoma ». Cancers. vol. 11 , nº 8. 16 p.

Mohamed Mhiri, Christian Desrosiers, Mohamed Cheriet. 2019. « Word spotting and recognition via a joint deep embedding of image and text ». Pattern Recognition. vol. 88 p. 312-320.

Ahmad Chaddad, Christian Desrosiers, Bassam Abdulkarim, Tamim Niazi. 2019. « Predicting the gene status and survival outcome of lower grade glioma patients with multimodal MRI features ». IEEE Access. vol. 7 p. 75976-75984.

Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi. 2019. « Deep radiomic analysis based on modeling information flow in convolutional neural networks ». IEEE Access. vol. 7 p. 97242-97252.

Jing Dong Cheng, Qiu Le Sun, Jian Xin Zhang, Christian Desrosiers, Bin Liu, Jian Lu, Qiang Zhang. 2019. « Deep high-order supervised hashing ». Optik. vol. 180 p. 847-857.

Li Wang, Dong Nie, Li Guannan, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen. 2019. « Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ». IEEE Transactions on Medical Imaging. vol. 38 , nº 9. p. 2219-2230.

Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed. 2019. « HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ». IEEE Transactions on Medical Imaging. vol. 38 , nº 5. p. 1116-1126.

Mingli Zhang, Christian Desrosiers. 2019. « High-quality image restoration using low-rank patch regularization and global structure sparsity ». IEEE Transactions on Image Processing. vol. 28 , nº 2. p. 868-879.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2019. « Graph convolutions on spectral embeddings for cortical surface parcellation ». Medical Image Analysis. vol. 54 p. 297-305.

Kuldeep Kumar, Kaleem Siddiqi, Christian Desrosiers. 2019. « White matter fiber analysis using kernel dictionary learning and sparsity priors ». Pattern Recognition. vol. 95 p. 83-95.

Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Deana Crocetti, Bennett A. Landman, Stewart H. Mostofsky, Paul M. Thompson, Jerry L. Prince. 2018. « Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ». NeuroImage. vol. 183 p. 150-172.

Mohamed Mhiri, Sherif Abuelwafa, Christian Desrosiers, Mohamed Cheriet. 2018. « Hierarchical representation learning using spherical k-means for segmentation-free word spotting ». Pattern Recognition Letters. vol. 101 p. 52-59.

Mohamed Mhiri, Christian Desrosiers, Mohamed Cheriet. 2018. « Convolutional pyramid of bidirectional character sequences for the recognition of handwritten words ». Pattern Recognition Letters. vol. 111 p. 87-93.

Ahmad Chaddad, Christian Desrosiers, Tamim Niazi. 2018. « Deep radiomic analysis of MRI related to Alzheimer's disease ». IEEE Access. vol. 6 p. 58213-58221.

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2018. « Cost-based search ordering for rate-constrained motion estimation applied to HEVC ». IEEE Transactions on Broadcasting. vol. 64 , nº 4. p. 922-932.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2018. « 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ». NeuroImage. vol. 170 15 p. p. 456-470.

Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Éric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu. 2018. « Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ». Medical Physics. vol. 45 , nº 12. p. 5482-5493.

Mingli Zhang, Christian Desrosiers. 2018. « Structure preserving image denoising based on low-rank reconstruction and gradient histograms ». Computer Vision and Image Understanding. vol. 171 p. 48-60.

Mingli Zhang, Christian Desrosiers, Caiming Zhang. 2018. « Atlas-based reconstruction of high performance brain MR data ». Pattern Recognition. vol. 76 p. 549-559.

Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers. 2018. « Multi-modal brain fingerprinting: A manifold approximation based framework ». NeuroImage. vol. 183 p. 212-226.

Faten M’hiri, Luc Duong, Christian Desrosiers, Nagib Dahdah, Joaquim Miró, Mohamed Cheriet. 2017. « Automatic evaluation of vessel diameter variation from 2D X-ray angiography ». International Journal of Computer Assisted Radiology and Surgery. vol. 12 , nº 11. p. 1867-1876.

Eya Barkallah, Johan Freulard, Martin J. D. Otis, Suzy Ngomo, Johannes C. Ayena, Christian Desrosiers. 2017. « Wearable devices for classification of inadequate posture at work using neural networks ». Sensors. vol. 17 , nº 9.

Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Camel Tanougast. 2017. « Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder ». BMC Neuroscience. vol. 18 , nº 1. p. 52.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2017. « Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age ». Scientific Reports. vol. 7

Ahmad Chaddad, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim. 2017. « Predicting survival time of lung cancer patients using radiomic analysis ». Oncotarget. vol. 8 , nº 61. p. 104393-104407.

Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2017. « Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ». Medical Physics. vol. 44 , nº 12. p. 6341-6352.

Mingli Zhang, Christian Desrosiers. 2017. « Image denoising based on sparse representation and gradient histogram ». IET Image Processing. vol. 11 , nº 1. p. 54-63.

Hawraa Haj-Hassan, Ahmad Chaddad, Youssef Harkouss, Christian Desrosiers, Matthew Toews, Camel Tanougast. 2017. « Classifications of multispectral colorectal cancer tissues using convolution neural network ». Journal of Pathology Informatics. vol. 8 , nº 1. 7 p.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017. « Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis ». NeuroImage. vol. 158 p. 242-259.

Faten M'Hiri, Luc Duong, Christian Desrosiers, Mohamed Leye, Joaquim Miró, Mohamed Cheriet. 2016. « A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences ». Computers in Biology and Medicine. vol. 79 p. 45-58.

Ahmad Chaddad, Christian Desrosiers, Ahmed Bouridane, Matthew Toews, Lama Hassan, Camel Tanougast. 2016. « Multi texture analysis of colorectal cancer continuum using multispectral imagery ». PLoS ONE. vol. 11 , nº 2. 17 p.

Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Camel Tanougast. 2016. « A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome ». The British Journal of Radiology. vol. 89 , nº 1068.

Christian Desrosiers, Philippe Galinier, Pierre Hansen, Alain Hertz. 2014. « Automated generation of conjectures on forbidden subgraph characterization ». Discrete Applied Mathematics. vol. 162 p. 177-194.

Christian Desrosiers, Philippe Galinier, Alain Hertz, Pierre Hansen. 2011. « Improving constrained pattern mining with first-fail-based heuristics ». Data Mining and Knowledge Discovery. vol. 23 , nº 1. p. 63-90.

Yinqing Pei, David Côté, Philippe Alain Ngani Sigue, Ali Mahmoudialami, Christine Tremblay, Christian Desrosiers. 2022-10-18. « Identifying root causes of network service degradation ».

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2021-03-09. « Methods and systems for determining motion vectors in a motion estimation process of a video encoder ».

Luc Normand Trudeau, Stephane Coulombe, Christian Desrosiers. 2018-06-26. « Method and system for rate-constrained search ordering ».

Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis. 2022. « Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems ». In Recommender systems handbook . Third edition. p. 39-89. Springer US.

Xia Ning, Christian Desrosiers, George Karypis. 2015. « A comprehensive survey of neighborhood-based recommendation methods ». In Recommender Systems Handbook Part I. Second Edition. p. 37-76. Springer US.

Christian Desrosiers, George Karypis. 2011. « A Comprehensive Survey of Neighborhood-based Recommendation Methods ». In Recommender systems handbook Coll. «Computer Science», . p. 107-144. Springer.

Banti Laure Mathilde Yaméogo, Douglas W. Charlton, David Doucet, Christian Desrosiers, Maurice O' Sullivan, Christine Tremblay. 2021-01-25. « Detecting Performance Degradation in Fiber-Optic Cables ». Substance ÉTS. vol.

Banti Laure Mathilde Yaméogo, Douglas W. Charlton, David Doucet, Christian Desrosiers, Maurice O' Sullivan, Christine Tremblay. 2021-01-25. « Détection de dégradations de performance dans les câbles de fibre optique ». Substance ÉTS. vol.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017-11-14. « Fiberprint: Human Brain Wiring Shows Unique Fingerprint ». Substance ÉTS. vol.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017-11-14. « L’empreinte cérébrale : une image des connexions du cerveau ». Substance ÉTS. vol.

Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2019. « Tutorial : Weakly supervised CNN segmentation: Models and optimization ». Communication during a conference : Medical Image Computing and Computer Assisted Intervention (MICCAI) ( Shenzen, China, Oct. 13-17, 2019 )

Prasun Lala, Félix Langevin Harnois, Ghizlaine El Boussaidi, Christian Desrosiers, Catherine Laporte. 2018. « Providing sustainable scientific writing support for graduate engineering students by creating a local scientific learning community ». Communication during a conference : 2018 ASEE Annual Conference & Exposition ( Salt Lake City, UT, USA, June 24-27, 2018 )

Félix Langevin Harnois, Jerome Harrison, Prasun Lala, Ghizlaine El Boussaidi, Christian Desrosiers, Catherine Laporte. 2018. « Promoting good scientific communication habits by leveraging the community of practice within a single research group ». Communication during a conference : 2018 ASEE Annual Conference & Exposition ( Salt Lake City, UT, USA, June 24-27, 2018 )

J. P. Martin, C. Desrosiers, L. Duong. 2015. « Utilisation d'un fantôme multimodalité cardiothoracique (XCAT) pour la validation d'algorithmes de compensation de mouvement ». Communication during a conference : 6e Journée Cardio-pédiatrique et Foeto-maternelle en recherche (JCF 2015) ( Montréal, QC, Canada, 19 mars 2015 )

Erick Velazquez-Godinez, Sylvie Ratté, Christian Desrosiers. 2014. « Alignement informatif d'un corpus bilingue de nouvelles ». Communication during a conference : Congrès de l'ACFAS ( Montréal, QC, Canada, 12-16 mai 2014 )

Alvine Boaye Belle, Ghizlane El boussaidi, Christian Desrosiers, Hafedh Mili. 2015. « ReALEITY : a tool for recovering software layers from object-oriented systems ». Poster presented during a conference : 2015 12th Working IEEE/IFIP Conference on Software Architecture (WICSA) ( Montreal, QC, Canada, May 4-7, 2015 )

K.uldeep Kumar, Christian Desrosiers. 2014. « Group sparse kernelized dictionary learning for the clustering of white matter fibers ». Poster presented during a conference : Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings ( Boston, MA, USA, Sept. 14-18, 2014 )

Tarik Boukhalfi, Christian Desrosiers, Eric Paquette. 2012. « A machine learning approach to automate facial expressions from physical activity ». Poster presented during a conference : Grand 2012 Conference ( Montréal, QC, Canada, May 2-4, 2012 )