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Documents dont l'auteur est "Desrosiers, Christian"

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Nombre de documents: 21

Gaillochet, M., Desrosiers, C., & Lombaert, H. (2023). Active learning for medical image segmentation with stochastic batches. Medical Image Analysis, 90, 102958 (11 pages). Lien externe

Gopinath, K., Desrosiers, C., & Lombaert, H. (2023). Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation. Medical Image Analysis, 90, 102974 (9 pages). Lien externe

Gopinath, K., Desrosiers, C., & Lombaert, H. (2022). Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(2), 864-876. Lien externe

Anctil-Robitaille, B., Théberge, A., Jodoin, P.-M., Descoteaux, M., Desrosiers, C., & Lombaert, H. (2022). Manifold-aware synthesis of high-resolution diffusion from structural imaging. Frontiers in Neuroimaging, 1, 20 pages. Lien externe

Gaillochet, M., Desrosiers, C., & Lombaert, H. (septembre 2022). TAAL: Test-Time Augmentation for Active Learning in Medical Image Segmentation [Communication écrite]. Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections (DALI 2022, MICCAI 2022), Singapore. Lien externe

Mei, J., Tremblay, C., Stikov, N., Desrosiers, C., & Frasnelli, J. (février 2021). Differentiation of Parkinson's disease and non-Parkinsonian olfactory dysfunction with structural MRI data [Communication écrite]. Medical Imaging 2021: Computer-Aided Diagnosis (8 pages). Lien externe

Anctil-Robitaille, B., Desrosiers, C., & Lombaert, H. (octobre 2020). Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis [Communication écrite]. Computational Diffusion MRI 2020 (CDMRI 2020), 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru. Lien externe

Delisle, P.-L., Anctil-Robitaille, B., Desrosiers, C., & Lombaert, H. (2021). Realistic image normalization for multi-Domain segmentation. Medical Image Analysis, 74, 102191 (14 pages). Lien externe

Gopinath, K., Desrosiers, C., & Lombaert, H. (septembre 2021). SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images [Communication écrite]. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Starsbourg, France. Lien externe

Delisle, P.-L., Anctil-Robitaille, B., Desrosiers, C., & Lombaert, H. (avril 2020). Adversarial Normalization for Multi Domain Image Segmentation [Communication écrite]. 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA, USA. Lien externe

Gopinath, K., Desrosiers, C., & Lombaert, H. (octobre 2020). Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation [Communication écrite]. Second International Workshop, UNSURE 2020, and Third International Workshop GRAIL 2020, held in Conjunction with MICCAI 2020, Lima, Peru. Lien externe

He, R., Gopinath, K., Desrosiers, C., & Lombaert, H. (avril 2020). Spectral Graph Transformer Networks for Brain Surface Parcellation [Communication écrite]. 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA, USA. Lien externe

Gopinath, K., Desrosiers, C., & Lombaert, H. (juin 2019). Adaptive Graph Convolution Pooling for Brain Surface Analysis [Communication écrite]. 26th Biennal International Conference on Information Processing in Medical Imaging (IPMI 2019), Hong Kong, China. Lien externe

Gopinath, K., Desrosiers, C., & Lombaert, H. (juillet 2019). Cortical parcellation via spectral graph convolutions [Résumé]. Medical Imaging with Deep Learning (MIDL 2019), London, UK (5 pages). Lien externe

Gopinath, K., Desrosiers, C., & Lombaert, H. (2019). Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation. Medical Image Analysis, 54, 297-305. Lien externe

Dolz, J., Gopinath, K., Yuan, J., Lombaert, H., Desrosiers, C., & Ben Ayed, I. (2019). HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Transactions on Medical Imaging, 38(5), 1116-1126. Lien externe

Desrosiers, C., Galinier, P., Hansen, P., & Hertz, A. (2014). Automated generation of conjectures on forbidden subgraph characterization. Discrete Applied Mathematics, 162, 177-194. Lien externe

Desrosiers, C., Galinier, P., Hertz, A., & Hansen, P. (2010). Improving constrained pattern mining with first-fail-based heuristics. Data Mining and Knowledge Discovery, 23(1), 1-28. Lien externe

Desrosiers, C., Galinier, P., Hertz, A., & Paroz, S. (2009). Using heuristics to find minimal unsatisfiable subformulas in satisfiability problems. Journal of Combinatorial Optimization, 18(2), 124-150. Lien externe

Desrosiers, C. (2008). Techniques pour l'exploration de données structurées et pour la découverte de connaissances en théorie des graphes [Thèse de doctorat, École Polytechnique de Montréal]. Disponible

Desrosiers, C. (2004). Détection d'ensembles irréductibles incohérents dans des problèmes de satisfaction de contraintes irréalisables [Mémoire de maîtrise, École Polytechnique de Montréal]. Disponible

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