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Liste des publications de "Desrosiers, Christian"Nombre de documents archivés : 185. Article publié dans une revue, révisé par les pairs
Barkallah, Eya, Freulard, Johan, Otis, Martin J. D., Ngomo, Suzy, Ayena, Johannes C. et Desrosiers, Christian.
2017.
« Wearable devices for classification of inadequate posture at work using neural networks ».
Sensors, vol. 17, nº 9.
Beizaee, Farzad, Bona, Michele, Desrosiers, Christian, Dolz, Jose et Lodygensky, Gregory.
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.
Carass, Aaron, Cuzzocreo, Jennifer L., Han, Shuo, Hernandez-Castillo, Carlos R., Rasser, Paul E., Ganz, Melanie, Beliveau, Vincent, Dolz, Jose, Ben Ayed, Ismail, Desrosiers, Christian, Thyreau, Benjamin, Romero, José E., Coupé, Pierrick, Manjón, José V., Fonov, Vladimir S., Collins, D. Louis, Ying, Sarah H., Onyike, Chiadi U., Crocetti, Deana, Landman, Bennett A., Mostofsky, Stewart H., Thompson, Paul M. et Prince, Jerry L..
2018.
« Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ».
NeuroImage, vol. 183.
pp. 150-172.
Chaddad, Ahmad, Daniel, Paul, Desrosiers, Christian, Toews, Matthew et Abdulkarim, Bassam.
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.
pp. 795-804.
Chaddad, Ahmad, Daniel, Paul, Sabri, Siham, Desrosiers, Christian et Abdulkarim, Bassam.
2019.
« Integration of radiomic and multi-omic analyses predicts survival of newly diagnosed IDH1 wild-type glioblastoma ».
Cancers, vol. 11, nº 8.
Chaddad, Ahmad, Daniel, Paul, Zhang, Mingli, Rathore, Saima, Sargos, Paul, Desrosiers, Christian et Niazi, Tamim.
2022.
« Deep radiomic signature with immune cell markers predicts the survival of glioma patients ».
Neurocomputing, vol. 469.
pp. 366-375.
Chaddad, Ahmad, Desrosiers, Christian, Abdulkarim, Bassam et Niazi, Tamim.
2019.
« Predicting the gene status and survival outcome of lower grade glioma patients with multimodal MRI features ».
IEEE Access, vol. 7.
pp. 75976-75984.
Chaddad, Ahmad, Desrosiers, Christian, Bouridane, Ahmed, Toews, Matthew, Hassan, Lama et Tanougast, Camel.
2016.
« Multi texture analysis of colorectal cancer continuum using multispectral imagery ».
PLoS ONE, vol. 11, nº 2.
Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama et Tanougast, Camel.
2016.
« A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome ».
British Journal of Radiology, vol. 89, nº 1068.
Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama et Tanougast, Camel.
2017.
« Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder ».
BMC Neuroscience, vol. 18, nº 1.
Chaddad, Ahmad, Desrosiers, Christian et Niazi, Tamim.
2018.
« Deep radiomic analysis of MRI related to Alzheimer's disease ».
IEEE Access, vol. 6.
pp. 58213-58221.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2017.
« Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age ».
Scientific Reports, vol. 7.
Chaddad, Ahmad, Desrosiers, Christian, Toews, Matthew et Abdulkarim, Bassam.
2017.
« Predicting survival time of lung cancer patients using radiomic analysis ».
Oncotarget, vol. 8, nº 61.
pp. 104393-104407.
Chaddad, Ahmad, Hassan, Lama et Desrosiers, Christian.
2021.
« Deep CNN models for predicting COVID-19 in CT and X-ray images ».
Journal of Medical Imaging, vol. 8, nº suppl. 1.
Chaddad, Ahmad, Hassan, Lama et Desrosiers, Christian.
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.
pp. 3-11.
Chaddad, Ahmad, Kucharczyk, Michael J., Desrosiers, Christian, Okuwobi, Idowu Paul, Katib, Yousef, Zhang, Mingli, Rathore, Saima, Sargos, Paul et Niazi, Tamim.
2020.
« Deep radiomic analysis to predict gleason score in prostate cancer ».
IEEE Access, vol. 8.
pp. 167767-167778.
Chaddad, Ahmad, Li, Jiali, Lu, Qizong, Li, Yujie, Okuwobi, Idowu Paul, Tanougast, Camel, Desrosiers, Christian et Niazi, Tamim.
2021.
« Can autism be diagnosed with artificial intelligence? A narrative review ».
Diagnostics, vol. 11, nº 11.
Chaddad, Ahmad, Sargos, Paul et Desrosiers, Christian.
2021.
« Modeling texture in deep 3D CNN for survival analysis ».
IEEE Journal of Biomedical and Health Informatics, vol. 25, nº 7.
pp. 2454-2462.
Chaddad, Ahmad, Tan, Guina, Liang, Xiaojuan, Hassan, Lama, Rathore, Saima, Desrosiers, Christian, Katib, Yousef et Niazi, Tamim.
2023.
« Advancements in MRI-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects ».
Cancers, vol. 15, nº 15.
Chaddad, Ahmad, Toews, Matthew, Desrosiers, Christian et Niazi, Tamim.
2019.
« Deep radiomic analysis based on modeling information flow in convolutional neural networks ».
IEEE Access, vol. 7.
pp. 97242-97252.
Chaddad, Ahmad, Wu, Yihang et Desrosiers, Christian.
2024.
« Federated learning for healthcare applications ».
IEEE Internet of Things Journal, vol. 11, nº 5.
pp. 7339-7358.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, Wells, William et Toews, Matthew.
2022.
« Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets ».
IEEE Transactions on Medical Imaging, vol. 41, nº 4.
pp. 836-845.
Chauvin, Laurent, Kumar, Kuldeep, Wachinger, Christian, Vangel, Marc, de Guise, Jacques, Desrosiers, Christian, Wells, William et Toews, Matthew.
2020.
« Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives ».
NeuroImage, vol. 204.
Cheng, Jing Dong, Sun, Qiu Le, Zhang, Jian Xin, Desrosiers, Christian, Liu, Bin, Lu, Jian et Zhang, Qiang.
2019.
« Deep high-order supervised hashing ».
Optik, vol. 180.
pp. 847-857.
Cheraghalikhani, Milad, Noori, Mehrdad, Osowiechi, David, Hakim, Gustavo A. Vargas, Ben Ayed, Ismail et Desrosiers, Christian.
2024.
« Structure-aware feature stylization for domain generalization ».
Computer Vision and Image Understanding, vol. 244.
Delisle, Pierre-Luc, Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Herve.
2021.
« Realistic image normalization for multi-Domain segmentation ».
Medical Image Analysis, vol. 74.
Desrosiers, Christian, Galinier, Philippe, Hansen, Pierre et Hertz, Alain.
2014.
« Automated generation of conjectures on forbidden subgraph characterization ».
Discrete Applied Mathematics, vol. 162.
pp. 177-194.
Desrosiers, Christian, Galinier, Philippe, Hertz, Alain et Hansen, Pierre.
2011.
« Improving constrained pattern mining with first-fail-based heuristics ».
Data Mining and Knowledge Discovery, vol. 23, nº 1.
pp. 63-90.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2018.
« 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ».
NeuroImage, vol. 170.
pp. 456-470.
Dolz, Jose, Desrosiers, Christian, Wang, Li, Yuan, Jing, Shen, Dinggang et Ben Ayed, Ismail.
2020.
« Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ».
Computerized Medical Imaging and Graphics, vol. 79.
Dolz, Jose, Gopinath, Karthik, Yuan, Jing, Lombaert, Herve, Desrosiers, Christian et Ben Ayed, Ismail.
2019.
« HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ».
IEEE Transactions on Medical Imaging, vol. 38, nº 5.
pp. 1116-1126.
Dolz, Jose, Xu, Xiaopan, Rony, Jérôme, Yuan, Jing, Liu, Yang, Granger, Éric, Desrosiers, Christian, Zhang, Xi, Ben Ayed, Ismail et Lu, Hongbing.
2018.
« Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ».
Medical Physics, vol. 45, nº 12.
pp. 5482-5493.
Fechter, Tobias, Adebahr, Sonja, Baltas, Dimos, Ben Ayed, Ismail, Desrosiers, Christian et Dolz, Jose.
2017.
« Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ».
Medical Physics, vol. 44, nº 12.
pp. 6341-6352.
Gaillochet, Mélanie, Desrosiers, Christian et Lombaert, Hervé.
2023.
« Active learning for medical image segmentation with stochastic batches ».
Medical Image Analysis, vol. 90.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2019.
« Graph convolutions on spectral embeddings for cortical surface parcellation ».
Medical Image Analysis, vol. 54.
pp. 297-305.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2022.
« Learnable pooling in graph convolutional networks for brain surface analysis ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, nº 2.
pp. 864-876.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2023.
« Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation ».
Medical Image Analysis, vol. 90.
Haj-Hassan, Hawraa, Chaddad, Ahmad, Harkouss, Youssef, Desrosiers, Christian, Toews, Matthew et Tanougast, Camel.
2017.
« Classifications of multispectral colorectal cancer tissues using convolution neural network ».
Journal of Pathology Informatics, vol. 8, nº 1.
Hou, Linlin, Yan, Zishen, Desrosiers, Christian et Liu, Hui.
2025.
« MFCPNet: Real time medical image segmentation network via multi-scale feature fusion and channel pruning ».
Biomedical Signal Processing and Control, vol. 100, nº Part B.
Jia, Jin-Gong, Zhou, Yuan-Feng, Hao, Xing-Wei, Li, Feng, Desrosiers, Christian et Zhang, Cai-Ming.
2020.
« Two-stream temporal convolutional networks for skeleton-based human action recognition ».
Journal of Computer Science and Technology, vol. 35, nº 3.
pp. 538-550.
Kamali, Kaveh, Akbari, Ali Akbar, Desrosiers, Christian, Akbarzadeh, Alireza, Otis, Martin J. D. et Ayena, Johannes C..
2020.
« Low-rank and sparse recovery of human gait data ».
Sensors, vol. 20, nº 16.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, José et Ben Ayed, Ismail.
2021.
« Boundary loss for highly unbalanced segmentation ».
Medical Image Analysis, vol. 67.
Kim, Bach Ngoc, Dolz, Jose, Jodoin, Pierre-Marc et Desrosiers, Christian.
2021.
« Privacy-net: An adversarial approach for identity-obfuscated segmentation of medical images ».
IEEE Transactions on Medical Imaging, vol. 40, nº 7.
pp. 1737-1749.
Kossi, Koffi, Coulombe, Stéphane et Desrosiers, Christian.
2024.
« No-reference video quality assessment using transformers and attention recurrent networks ».
IEEE Access, vol. 12.
pp. 140671-140680.
Kossi, Koffi, Coulombe, Stéphane, Desrosiers, Christian et Gagnon, Ghyslain.
2022.
« No-reference video quality assessment using distortion learning and temporal attention ».
IEEE Access, vol. 10.
pp. 41010-41022.
Kumar, Kuldeep, Desrosiers, Christian, Siddiqi, Kaleem, Colliot, Olivier et Toews, Matthew.
2017.
« Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis ».
NeuroImage, vol. 158.
pp. 242-259.
Kumar, Kuldeep, Siddiqi, Kaleem et Desrosiers, Christian.
2019.
« White matter fiber analysis using kernel dictionary learning and sparsity priors ».
Pattern Recognition, vol. 95.
pp. 83-95.
Kumar, Kuldeep, Toews, Matthew, Chauvin, Laurent, Colliot, Olivier et Desrosiers, Christian.
2018.
« Multi-modal brain fingerprinting: A manifold approximation based framework ».
NeuroImage, vol. 183.
pp. 212-226.
Li, Xuan, Desrosiers, Christian et Liu, Xue.
2023.
« Deep neural forest for out-of-distribution detection of skin lesion images ».
IEEE Journal of Biomedical and Health Informatics, vol. 27, nº 1.
pp. 157-165.
Li, Yangke, Wei, Guangshun, Desrosiers, Christian et Zhou, Yuanfeng.
2024.
« Decoupled and boosted learning for skeleton-based dynamic hand gesture recognition ».
Pattern Recognition, vol. 153.
Liu, Bingyuan, Desrosiers, Christian, Ben Ayed, Ismail et Dolz, Jose.
2023.
« Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ».
Medical Image Analysis, vol. 83.
Liu, Jinhua, Cui, Zhiming, Desrosiers, Christian, Lu, Shuyi et Zhou, Yuanfeng.
2022.
« Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation ».
Medical Image Analysis, vol. 81.
Liu, Jinhua, Desrosiers, Christian, Yu, Dexin et Zhou, Yuanfeng.
2024.
« Semi-supervised medical image segmentation using cross-style consistency with shape-aware and local context constraints ».
IEEE Transactions on Medical Imaging, vol. 43, nº 4.
pp. 1449-1461.
Liu, Jinhua, Desrosiers, Christian et Zhou, Yuanfeng.
2020.
« Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation ».
Neurocomputing, vol. 411.
pp. 139-148.
Mei, Jie, Desrosiers, Christian et Frasnelli, Johannes.
2021.
« Machine learning for the diagnosis of parkinson's disease: A review of literature ».
Frontiers in Aging Neuroscience, vol. 13.
M’hiri, Faten, Duong, Luc, Desrosiers, Christian, Dahdah, Nagib, Miró, Joaquim et Cheriet, Mohamed.
2017.
« Automatic evaluation of vessel diameter variation from 2D X-ray angiography ».
International Journal of Computer Assisted Radiology and Surgery, vol. 12, nº 11.
pp. 1867-1876.
M'Hiri, Faten, Duong, Luc, Desrosiers, Christian, Leye, Mohamed, Miró, Joaquim et Cheriet, Mohamed.
2016.
« A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences ».
Computers in Biology and Medicine, vol. 79.
pp. 45-58.
Mhiri, Mohamed, Abuelwafa, Sherif, Desrosiers, Christian et Cheriet, Mohamed.
2018.
« Hierarchical representation learning using spherical k-means for segmentation-free word spotting ».
Pattern Recognition Letters, vol. 101.
pp. 52-59.
Mhiri, Mohamed, Desrosiers, Christian et Cheriet, Mohamed.
2018.
« Convolutional pyramid of bidirectional character sequences for the recognition of handwritten words ».
Pattern Recognition Letters, vol. 111.
pp. 87-93.
Mhiri, Mohamed, Desrosiers, Christian et Cheriet, Mohamed.
2019.
« Word spotting and recognition via a joint deep embedding of image and text ».
Pattern Recognition, vol. 88.
pp. 312-320.
Noori, Mehrdad, Cheraghalikhani, Milad, Bahri, Ali, Vargas Hakim, Gustavo A., Osowiechi, David, Ben Ayed, Ismail et Desrosiers, Christian.
2024.
« TFS-ViT: Token-level feature stylization for domain generalization ».
Pattern Recognition, vol. 149.
Peng, Jizong, Estrada, Guillermo, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Deep co-training for semi-supervised image segmentation ».
Pattern Recognition, vol. 107.
Peng, Jizong, Kervadec, Hoel, Dolz, Jose, Ben Ayed, Ismail, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Discretely-constrained deep network for weakly supervised segmentation ».
Neural Networks, vol. 130.
pp. 297-308.
Peng, Jizong, Wang, Ping, Pedersoli, Marco et Desrosiers, Christian.
2024.
« Boundary-aware information maximization for self-supervised medical image segmentation ».
Medical Image Analysis, vol. 94.
Théberge, Antoine, Desrosiers, Christian, Boré, Arnaud, Descoteaux, Maxime et Jodoin, Pierre-Marc.
2024.
« What matters in reinforcement learning for tractography ».
Medical Image Analysis, vol. 93.
Theberge, Antoine, Desrosiers, Christian, Descoteaux, Maxime et Jodoin, Pierre-Marc.
2021.
« Track-to-Learn: A general framework for tractography with deep reinforcement learning ».
Medical Image Analysis, vol. 72.
Trudeau, Luc, Coulombe, Stéphane et Desrosiers, Christian.
2018.
« Cost-based search ordering for rate-constrained motion estimation applied to HEVC ».
IEEE Transactions on Broadcasting, vol. 64, nº 4.
pp. 922-932.
Trudeau, Luc, Coulombe, Stéphane et Desrosiers, Christian.
2020.
« Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC ».
Signal Processing: Image Communication, vol. 81.
Wang, Li, Nie, Dong, Guannan, Li, Puybareau, Élodie, Dolz, Jose, Zhang, Qian, Wang, Fan, Xia, Jing, Wu, Zhengwang, Chen, Jia-Wei, Thung, Kim-Han, Bui, Toan Duc, Shin, Jitae, Zeng, Guodong, Zheng, Guoyan, Fonov, Vladimir S., Doyle, Andrew, Xu, Yongchao, Moeskops, Pim, Pluim, Josien P. W., Desrosiers, Christian, Ben Ayed, Ismail, Sanroma, Gerard, Benkarim, Oualid M., Casamitjana, Adrià, Vilaplana, Verónica, Lin, Weili, Li, Gang et Shen, Dinggang.
2019.
« Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ».
IEEE Transactions on Medical Imaging, vol. 38, nº 9.
pp. 2219-2230.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuan-Feng, Zhang, Cai-Ming et Desrosiers, Christian.
2023.
« CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation ».
IEEE Transactions on Medical Imaging, vol. 42, nº 8.
pp. 2146-2161.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuanfeng, Zhang, Caiming et Desrosiers, Christian.
2021.
« Self-paced and self-consistent co-training for semi-supervised image segmentation ».
Medical Image Analysis, vol. 73.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuan-Feng, Zhang, Cai-Ming et Desrosiers, Christian.
2023.
« Shape-aware joint distribution alignment for cross-domain image segmentation ».
IEEE Transactions on Medical Imaging, vol. 42, nº 8.
pp. 2338-2347.
Wei, Guangshun, Ma, Long, Wang, Chen, Desrosiers, Christian et Zhou, YuanFeng.
2021.
« Multi-task joint learning of 3D keypoint saliency and correspondence estimation ».
Computer-Aided Design, vol. 141.
Yaméogo, Banti Laure M., Charlton, Douglas W., Doucet, David, Desrosiers, Christian, O' Sullivan, Maurice et Tremblay, Christine.
2020.
« Trends in optical span loss detected using the time series decomposition method ».
Journal of Lightwave Technology, vol. 38, nº 18.
pp. 5026-5035.
Yousefi, Somaiieh, Chouman, Hussein, Djukic, Petar, Golaghazadeh, Firouzeh, Tremblay, Christine et Desrosiers, Christian.
2023.
« Forecasting lightpath quality of transmission and implementing uncertainty in the forecast models ».
Journal of Lightwave Technology, vol. 41, nº 15.
pp. 4871-4881.
Zhang, Mingli et Desrosiers, Christian.
2019.
« High-quality image restoration using low-rank patch regularization and global structure sparsity ».
IEEE Transactions on Image Processing, vol. 28, nº 2.
pp. 868-879.
Zhang, Mingli et Desrosiers, Christian.
2017.
« Image denoising based on sparse representation and gradient histogram ».
IET Image Processing, vol. 11, nº 1.
pp. 54-63.
Zhang, Mingli et Desrosiers, Christian.
2018.
« Structure preserving image denoising based on low-rank reconstruction and gradient histograms ».
Computer Vision and Image Understanding, vol. 171.
pp. 48-60.
Zhang, Mingli, Desrosiers, Christian, Guo, Yuhong, Khundrakpam, Budhachandra, Al-Sharif, Noor, Kiar, Greg, Valdes-Sosa, Pedro, Poline, Jean-Baptiste et Evans, Alan.
2020.
« Brain status modeling with non-negative projective dictionary learning ».
NeuroImage, vol. 206.
Zhang, Mingli, Desrosiers, Christian et Zhang, Caiming.
2018.
« Atlas-based reconstruction of high performance brain MR data ».
Pattern Recognition, vol. 76.
pp. 549-559. Compte rendu de conférence
Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Herve.
2021.
« Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ».
In Computational Diffusion MRI : International MICCAI Workshop 2020 (Lima, Peru - En ligne, Oct. 08, 2020)
Coll. « Mathematics and Visualization »
pp. 213-224.
Springer Science and Business Media.
Beizaee, Farzad, Desrosiers, Christian, Lodygensky, Gregory A. et Dolz, Jose.
2023.
« Harmonizing flows: Unsupervised MR harmonization based on normalizing flows ».
In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023)
Coll. « Lecture Notes in Computer Science », vol. 13939.
pp. 347-359.
Springer.
Belghait, Fodil, April, Alain, Hamet, Pavel, Tremblay, Johanne et Desrosiers, Christian.
2019.
« A large-scale and extensible platform for precision medicine research ».
In 9th International Conference on Digital Public Health (DPH) (Marseille, France, Nov. 20-23, 2019)
Coll. « ACM International Conference Proceeding Series »
pp. 47-54.
Association for Computing Machinery.
Boaye Belle, Alvine, El Boussaidi, Ghizlane, Desrosiers, Christian, Kpodjedo, Segla et Mili, Hafedh.
2015.
« The layered architecture recovery as a quadratic assignment problem ».
In Software Architecture : 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings (Cham, Switzerland, Sept. 7-11, 2015)
Coll. « Lecture Notes in Computer Science », vol. 9278.
pp. 339-354.
Springer International Publishing.
Boaye-Belle, Alvine, El Boussaidi, Ghizlane, Desrosiers, Christian et Mili, Hafedh.
2013.
« The layered architecture revisited: Is it an optimization problem? ».
In Proceedings of the Twenty-Fifth International Conference on Software Engineering & Knowledge Engineering (SEKE 2013) (Boston, MA, USA, June 27-29, 2013)
pp. 344-349.
Knowledge Systems Institute Graduate School.
Boukhalfi, Tarik, Desrosiers, Christian et Paquette, Eric.
2015.
« A machine learning approach to automate facial expressions from physical activity ».
In 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)
pp. 81-88.
Vaclav Skala - Union Agency.
Chaddad, A., Zhang, M., Desrosiers, C. et Niazi, T..
2020.
« Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 11991.
pp. 36-43.
Springer.
Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama et Toews, Matthew.
2016.
« Multispectral texture analysis of histopathological abnormalities in colorectal tissues ».
In IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016)
pp. 2628-2632.
IEEE.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2016.
« GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes ».
In Medical Imaging 2016: Image Processing (San Diego, CA, USA, Fev. 27-Mar. 03, 2016)
Coll. « Proceedings of SPIE », vol. 9784.
SPIE.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2016.
« Local discriminative characterization of MRI for Alzheimer's disease ».
In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016)
pp. 1-5.
Piscataway, NJ, USA : IEEE.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2016.
« Phenotypic characterization of glioblastoma identified through shape descriptors ».
In Medical Imaging 2016: Computer-Aided Diagnosis (San Diego, CA, USA, Feb. 28-Mar. 02, 2016)
Coll. « Proceedings of SPIE », vol. 9785.
SPIE.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2016.
« Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme ».
In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Orlando, FL, USA, Aug. 16-20, 2016)
pp. 4035-4038.
Piscataway, NJ, USA : IEEE.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, de Guise, Jacques et Toews, Matthew.
2018.
« Diffusion Orientation Histograms (DOH) for diffusion weighted image analysis ».
In Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Montreal, QC, Canada, Sept. 10, 2017)
Coll. « Mathematics and Visualization »
pp. 91-99.
Springer International Publishing.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, De Guise, Jacques, Wells, William et Toews, Matthew.
2019.
« Analyzing brain morphology on the bag-of-features manifold ».
In Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11492.
pp. 45-56.
Springer Verlag.
Chouman, Hussein, Djukic, Petar, Tremblay, Christine et Desrosiers, Christian.
2021.
« Forecasting lightpath QoT with deep neural networks ».
In Optical Fiber Communications Conference and Exhibition (OFC) - Proceedings (San Francisco, CA, USA, June 06-10, 2021)
IEEE.
Delisle, Pierre-Luc, Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Hervé.
2020.
« Adversarial normalization for multi domain image segmentation ».
In IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020)
pp. 849-853.
IEEE.
Desrosiers, Christian.
2014.
« A fast and adaptive random walks approach for the unsupervised segmentation of natural images ».
In 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014)
pp. 130-135.
Los Alamitos, CA, USA : IEEE Computer Society.
Desrosiers, Christian.
2014.
« An unsupervised random walk approach for the segmentation of brain MRI ».
In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (Beijing, China, Apr. 29 - May 2, 2014)
pp. 337-340.
Institute of Electrical and Electronics Engineers Inc..
Desrosiers, Christian.
2015.
« Unsupervised segmentation using dynamic superpixel random walks ».
In 2015 International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015)
pp. 1772-1776.
IEEE.
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« Fiberprint: Human Brain Wiring Shows Unique Fingerprint ».
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« L’empreinte cérébrale : une image des connexions du cerveau ».
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« Detecting Performance Degradation in Fiber-Optic Cables ».
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« Détection de dégradations de performance dans les câbles de fibre optique ».
[Article de recherche]. Substance ÉTS.
AfficheBelle, Alvine Boaye, El boussaidi, Ghizlane, Desrosiers, Christian et Mili, Hafedh. 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). Boukhalfi, Tarik, Desrosiers, Christian et Paquette, Eric. 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). Kumar, K.uldeep et Desrosiers, Christian. 2014. « Group sparse kernelized dictionary learning for the clustering of white matter fibers ». Affiche numéro STMI-P-6 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). CommunicationBen Ayed, Ismail, Desrosiers, Christian et Dolz, Jose. 2019. « Tutorial : Weakly supervised CNN segmentation: Models and optimization ». Communication lors de la conférence : Medical Image Computing and Computer Assisted Intervention (MICCAI) (Shenzen, China, Oct. 13-17, 2019). Lala, Prasun, Langevin Harnois, Félix, El Boussaidi, Ghizlane, Desrosiers, Christian et Laporte, Catherine. 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). Langevin Harnois, Félix, Harrison, Jerome, Lala, Prasun, El Boussaidi, Ghizlane, Desrosiers, Christian et Laporte, Catherine. 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). Martin, J. P., Desrosiers, C. et Duong, L.. 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). Velazquez-Godinez, Erick, Ratté, Sylvie et Desrosiers, Christian. 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). BrevetPei, Yinqing, Côté, David, Sigue, Philippe Alain Ngani, Mahmoudialami, Ali, Tremblay, Christine et Desrosiers, Christian (inventeurs) 18 octobre 2022. « Identifying root causes of network service degradation ». Ciena Corporation (titulaire(s)). Brevet américain US 11,477,070. Trudeau, Luc Normand, Coulombe, Stephane et Desrosiers, Christian (inventeurs) 26 juin 2018. « Method and system for rate-constrained search ordering ». Ecole de technologie supérieure (titulaire(s)). Brevet américain US 10,009,626. Trudeau, Luc, Coulombe, Stéphane et Desrosiers, Christian (inventeurs) 9 mars 2021. « Methods and systems for determining motion vectors in a motion estimation process of a video encoder ». École de technologie supérieure (titulaire(s)). Brevet américain US 10,944,986. |
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