Christian Desrosiers

Présentation

Département de génie logiciel et des TI

Axes de recherche :

  • Technologies de l’information et des communications

Expertises :

  • Forage de données
  • Apprentissage machine
  • Recommandation de produits
  • Théorie des graphes
  • Optimisation combinatoire
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Software Architecture : 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings
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Proceedings of the Twenty-Fifth International Conference on Software Engineering & Knowledge Engineering (SEKE 2013)
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23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Full Papers Proceedings
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IEEE International Conference on Image Processing (ICIP)
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Medical Imaging 2016: Image Processing
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2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
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Medical Imaging 2016: Computer-Aided Diagnosis
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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017
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Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings
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2014 22nd International Conference on Pattern Recognition (ICPR)
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2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
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2015 International Conference on Image Processing (ICIP)
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Recommender systems handbook
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11th Pacific Rim International Conference on Artificial Intelligence (PRICAI) : Trends in Artificial Intelligence
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Proceedings of the Eighth Workshop on Mining and Learning with Graphs
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IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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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
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Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I
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IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
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Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers
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Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings
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Medical Imaging : Visualization, Image-Guided Procedures, and Modeling
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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I
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2015 IEEE International Conference on Image Processing (ICIP)
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2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
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23rd International Conference on Pattern Recognition (ICPR)
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Machine Learning in Medical Imaging. 6th International Workshop, MLMI 2015, held in conjunction with MICCAI 2015. Proceedings
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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
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2018 ASEE Annual Conference & Exposition
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2018 ASEE Annual Conference & Exposition
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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2013)
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2015 IEEE International Conference on Image Processing (ICIP)
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Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)
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IEEE International Conference on Image Processing (ICIP)
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Machine Learning in Medical Imaging. 9th International Workshop (MLMI 2018) held in conjunction with MICCAI 2018, 16 Sept. 2018
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21st International Conference on Pattern Recognition (ICPR)
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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Medical Imaging 2012: Image Processing
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Recommender Systems Handbook
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32nd Conference on Neural Information Processing Systems (NIPS 2018) - Medical Imaging Meets NIPS Workshop (MED-NEURIPS 2018)
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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
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Cable-Driven Parallel Robots: 4th International Conference on Cable-Driven Parallel Robots
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2015 IEEE International Conference on Image Processing (ICIP)
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2014 IEEE International Conference on Image Processing (ICIP)
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IEEE International Conference on Image Processing (ICIP)
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2017 International Joint Conference on Neural Networks (IJCNN)
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IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)
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2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
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2015 IEEE International Conference on Image Processing (ICIP)
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IEEE International Conference on Image Processing (ICIP)
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International Joint Conference on Neural Networks (IJCNN)
Cours et encadrements

Cours

LOG660 Bases de données de haute performance (Automne 2019)

Encadrements

Projet d'application à 15 crédits

    Étude préliminaire et recommandations pour l'implantation d'un système d'intelligence d'affaires à l'École de technologie supérieure, par Le,Christophe.
    Été 2011

    Programme de détection d'émotions sur des séquences vidéos, par Bouka,Badr.
    Automne 2011

    Développement de techniques pour l'optimisation d'entrepôts de données RFID temps réel, par Lamarre,Charles Smith.
    Automne 2013

    En codirection avec : Langheit, Christian
    Mise en place d'un environnement d'intelligence d'affaires pour la gestion des actifs d'Hydro-Québec, par Atif,Adil.
    Automne 2013

    En codirection avec : Desharnais, Jean-Marc
    Analyse partielle de la qualité des informations pour les modèles d'estimation et de productivité des logiciels dans l'industrie, par Gakuba,Nicole.
    Automne 2013

    Mineral 0.2 : Prototype d'un moteur de recherche intelligent basé sur les technique de forage de textes, par Quemener,Christopher.
    Été 2013

    Analyse et amélioration de la performance des services du soutien à domicile (SAD) au CSSS Dorval-Lachine-Lasalle, par Houetognon,Akossiwa.
    Été 2013

    En codirection avec : 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, par Savoiu,Luise-Mariana.
    Hiver 2014

    Projet d'intelligence d'affaires pour la Sûreté du Québec, par Mangeot,Benjamin.
    Automne 2018

Projet d'application à 9 crédits

    En codirection avec : Piéraut, Francis
    Optimisation d'un service temps-réel de fouille de données dans le nuage, par Yanez Hoyos,David Alejandro.
    Hiver 2014

Mémoire à 30 crédits

    En codirection avec : Vouligny, Luc
    Système de réalité augmentée pour la détection et l'analyse temps-réel d'équipement de réseau électrique, par Beaudoin,Olivier.
    Automne 2019

    En codirection avec : Vàzquez, Carlos
    Estimation du champ dense de mouvement pour la génération semi-automatique de cartes de profondeur, par Rocheleau,Etienne.
    Hiver 2017

    En codirection avec : Tremblay, Christine
    Techniques de forage de données pour le monitoring de réseaux optiques, par Mezni,Ameni.
    Hiver 2020

Projet d'intervention en entreprise à 15 crédits

    En codirection avec : Vouligny, Luc
    Mise en place d'une infrastructure logicielle permettant d'intégrer l'information de différents systèmes hétérogènes dans une ontologie d'entreprise, par Findji Fwimbia,Gabriel.
    Hiver 2013

    Conception et intégration d'un projet BI, par Barrou,Rémi.
    Été 2014

    En codirection avec : Laberge, Sylvie
    Système analytique de données GPS pour assister les enquêteurs de la Sûreté du Québec, par Lima,Danilo.
    Automne 2015

    En codirection avec : Djukic, Petar
    Développement d'outils logiciels et d'algorithmes pour la prédiction d'anomalies dans les équipements de réseau optique, par Ngongang Somen,Bill Diego.
    Automne 2019

Stage industriel et rapport technique, 3 cr.

    Rapport de stage STA802, par Toko,Jean Pierre.
    Automne 2014

    Rapport de stage - Caisse de dépôt et placement du Québec, par Faivre,Hugo.
    Été 2019

    Rapport de stage BDC, par Guyot,Alexia.
    Automne 2019

    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), par Colas,Ezéchiel.
    Automne 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, par Tenekeu Chibemen,Armelle.
    Automne 2017

Thèse de doctorat (recherche appliquée)

    Sparse and Low-Rank Techniques for the Efficient Restoration of Images, par Zhang,Mingli.
    Hiver 2018

    Data-driven Methods for Characterizing Individual Differences in Brain MRI, par Kumar,Kuldeep.
    Hiver 2018

    En codirection avec : Jodoin, Pierre-Marc
    Privacy-preserving continual learning for medical image analysis, par Kim,Ngoc Bach.
    Hiver 2020

    En codirection avec : Vouligny, Luc
    Méthodologie de généraion de systèmes d'informaion auto-adaptatifs grâce à un cadre de développement dirigé par les ontologies, par Bhérer,Louis.
    Hiver 2020

    En codirection avec : Pedersoli, Marco
    Reinforcement learning approaches for the detection and classification of objects in images, par Peng,Jizong.
    Hiver 2020

Rapport technique à 6 crédits

    Découverte de connaissance dans des bases de données de marketing pour prédire la loyauté des clients, par Bisson,Tommy.
    Été 2015

    En codirection avec : Tremblay, Christine
    Tableau de bord pour l'analyse de performance de liaisons optiques, par Djeukui Nana,Claude Michelle.
    Automne 2017

Rapport technique II, à 3 crédits

    Uniformisation des transformations ETL de différents systèmes en une seule transformation générique, par Tenekeu Chibemen,Armelle.
    Automne 2017

Publications
Article publié dans une revue, révisé par les pairs (36)

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.

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.

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.

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.

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

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.

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.

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.

Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra Khundrakpam, Noor Al-Sharif, Greg Kiar, Pedro Valdes-Sosa, Jean-Baptiste Poline, Alan Evans. 2019. « Brain status modeling with non-negative projective dictionary learning ». NeuroImage. (Sous presse)

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.

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

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.

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.

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.

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.

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.

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.

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, 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.

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

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.

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.

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.

Compte rendu de conférence (52)

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.

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, 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.

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.

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)

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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..

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.

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, 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.

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.

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. 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.

Brevet (1)

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

Communication (4)

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 lors de la conférence : 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 lors de la conférence : 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 lors de la conférence : 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 lors de la conférence : Congrès de l'ACFAS ( Montréal, QC, Canada, 12-16 mai 2014 )

Article de revue ou de magazine, non révisé par les pairs (2)

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

Affiche (4)

K.uldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers. 2017. « Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI ». Affiche présentée lors de la conférence : Workshop on Computational Diffusion MRI, CDMRI 2017, MICCAI Workshop ( Québec , QC, Canada, 10 sept. 20117 )

Alvine Boaye Belle, Ghizlane El boussaidi, Christian Desrosiers, Hafedh Mili. 2015. « ReALEITY : a tool for recovering software layers from object-oriented systems ». Affiche présentée lors de la conférence : 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 ». Affiche présentée lors de la conférence : 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 ». Affiche présentée lors de la conférence : Grand 2012 Conference ( Montréal, QC, Canada, May 2-4, 2012 )

Chapitre de livre (2)

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.

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