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Items where Author is "Desrosiers, Christian"

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Number of items: 22.

A

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. External link

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

D

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). External link

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

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. External link

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

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. External link

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. External link

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

Desrosiers, C. (2004). Détection d'ensembles irréductibles incohérents dans des problèmes de satisfaction de contraintes irréalisables [Master's thesis, École Polytechnique de Montréal]. Available

G

Gaillochet, M., Desrosiers, C., & Lombaert, H. (2024, October). Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision [Paper]. International Workshop on Foundation Models for General Medical AI (MedAGI 2024), Marrakesh, Morocco. Published in Lecture notes in computer science. External link

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

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). External link

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. External link

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

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

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

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

Gopinath, K., Desrosiers, C., & Lombaert, H. (2019, July). Cortical parcellation via spectral graph convolutions [Abstract]. Medical Imaging with Deep Learning (MIDL 2019), London, UK (5 pages). External link

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

H

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

M

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

List generated on: Tue Feb 11 05:41:05 2025 EST