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Liste des publications de "Lombaert, Hervé"Nombre de documents archivés : 29. 2024
Adiga V, Sukesh, Dolz, Jose et Lombaert, Herve.
2024.
« Anatomically-aware uncertainty for semi-supervised image segmentation ».
Medical Image Analysis, vol. 91.
2023
Adiga Vasudeva, Sukesh, Dolz, Jose et Lombaert, Herve.
2023.
« GeoLS: Geodesic label smoothing for image segmentation ».
In International Confefence on Medical Imaging with Deep Learning (MIDL) (Nashville, TN, USA, July 10-12, 2023)
Coll. « Proceedings of Machine Learning Research », vol. 227.
pp. 468-478.
ML Research Press.
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.
2023.
« Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation ».
Medical Image Analysis, vol. 90.
Karami, Mohammad, Lombaert, Hervé et Rivest-Hénault, David.
2023.
« Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning ».
Computerized Medical Imaging and Graphics, vol. 104.
Murugesan, Balamurali, Adiga Vasudeva, Sukesh, Liu, Bingyuan, Lombaert, Herve, Ben Ayed, Ismail et Dolz, Jose.
2023.
« Trust your neighbours: Penalty-based constraints for model calibration ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14222.
pp. 572-581.
Springer Science and Business Media Deutschland GmbH. 2022
Adiga V, Sukesh, Dolz, Jose et Lombaert, Herve.
2022.
« Attention-based dynamic subspace learners for medical image analysis ».
IEEE Journal of Biomedical and Health Informatics, vol. 26, nº 9.
pp. 4599-4610.
Adiga Vasudeva, Sukesh, Dolz, Jose et Lombaert, Herve.
2022.
« Leveraging labeling representations in uncertainty-based semi-supervised segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference ; Proceedings, Part VIII (Singapore, Singapore, Sept. 18-22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13438.
pp. 265-275.
Springer Science and Business Media Deutschland GmbH.
Bateson, Mathilde, Kervadec, Hoel, Dolz, Jose, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« Source-free domain adaptation for image segmentation ».
Medical Image Analysis, vol. 82.
Bateson, Mathilde, Lombaert, Herve et Ben Ayed, Ismail.
2022.
« Test-time adaptation with shape moments for image segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings Part IV (Singapore, Singapore, Sept. 18-22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13434.
pp. 736-745.
Springer Science and Business Media Deutschland GmbH.
Gaillochet, Mélanie, Desrosiers, Christian et Lombaert, Hervé.
2022.
« TAAL: Test-time augmentation for active learning in medical image segmentation ».
In Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13567.
pp. 43-53.
Springer.
Galdran, Adrian, Anjos, André, Dolz, José, Chakor, Hadi, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« State-of-the-art retinal vessel segmentation with minimalistic models ».
Scientific Reports, vol. 12, nº 1.
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.
Rezanejad, Morteza, Khodadad, Mohammad, Mahyar, Hamidreza, Lombaert, Herve, Gruninger, Michael, Walther, Dirk et Siddiqi, Kaleem.
2022.
« Medial spectral coordinates for 3D shape analysis ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 2676-2686.
IEEE Computer Society. 2021
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.
Bateson, M., Dolz, J., Kervadec, H., Lombaert, H. et Ben Ayed, I..
2021.
« Constrained domain adaptation for image segmentation ».
IEEE Transactions on Medical Imaging, vol. 40, nº 7.
pp. 1875-1887.
Delisle, Pierre-Luc, Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Herve.
2021.
« Realistic image normalization for multi-Domain segmentation ».
Medical Image Analysis, vol. 74.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2021.
« SegRecon : Learning joint brain surface reconstruction and segmentation from images ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 12907.
pp. 650-659.
Springer Science and Business Media. 2020
Bateson, Mathilde, Kervadec, Hoel, Dolz, José, Lombaert, Hervé et Ben Ayed, Ismail.
2020.
« Source-relaxed domain adaptation for image segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I (Lima, Peru, Oct. 04-08, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12261.
pp. 490-499.
Springer Science and Business Media Deutschland GmbH.
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.
Galdran, Adrian, Chelbi, Jihed, Kobi, Riadh, Dolz, José, Lombaert, Hervé, Ben Ayed, Ismail et Chakor, Hadi.
2020.
« Non-uniform label smoothing for diabetic retinopathy grading from retinal fundus images with deep neural networks ».
Translational Vision Science and Technology, vol. 9, nº 2.
Galdran, Adrian, Dolz, Jose, Chakor, Hadi, Lombaert, Hervé et Ben Ayed, Ismail.
2020.
« Cost-sensitive regularization for diabetic retinopathy grading from eye fundus images ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V (Lima, Peru, Oct. 04-08, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12265.
pp. 665-674.
Springer International Publishing.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Hervé.
2020.
« Graph domain adaptation for alignment-invariant brain surface segmentation ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 12443.
pp. 152-163.
Springer.
Ran, He, Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2020.
« Spectral graph transformer networks for brain surface parcellation ».
In IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020)
pp. 372-376.
Piscataway, NJ, USA : IEEE. 2019
Bateson, Mathilde, Kervadec, Hoel, Dolz, Jose, Lombaert, Hervé et Ben Ayed, Ismail.
2019.
« Constrained domain adaptation for segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11765.
pp. 326-334.
Springer.
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.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2019.
« Adaptive graph convolution pooling for brain surface analysis ».
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. 86-98.
Springer Verlag.
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. 2018
Ahmad, Ola, Lombaert, Herve, Parent, Stefan, Labelle, Hubert et Cheriet, Farida.
2018.
« Spectral shape analysis of human torsos: Application to the evaluation of scoliosis surgery outcome ».
IEEE Journal of Biomedical and Health Informatics, vol. 22, nº 5.
pp. 1552-1560. |
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