Hervé Lombaert
Professeur
Département
Département de génie logiciel et TI
Formation
Ph.D. (Polytechnique Montréal), Postdoctorat (McGill, Inria, Microsoft Research)
Bureau
A-4464
Courriel
Axes de recherche
- Systèmes logiciels, multimédia et cybersécurité
- Technologies de la santé
Expertises
- Analyse d’images médicales
- Apprentissage machine
- Vision par ordinateur
Encadrements
- En codirection avec : Christian Desrosiers
Geometrical Learning of Brain Surface Data, par Karthik Gopinath
Automne 2021 - En codirection avec : Ismail Ben Ayed
Domain Adaptation with Missing Data for Medical Image Segmentation, par Mathilde Bateson
Été 2023 - En codirection avec : Jose Dolz
Learning with Uncertainty in Medical Image Segmentation, par Sukesh Adiga Vasudeva
Été 2024 - En codirection avec : Christian Desrosiers
Apprentissage géométrique actif pour la segmentation d'images médicales sous incertitude, par Mélanie Gaillochet
Automne 2025 - En codirection avec : Christian Desrosiers
Learning Spatio-Temporal Representation for Medical Data Processing, par Sahar Dastani Oghani
Automne 2025
- En codirection avec : Christian Desrosiers
Normalisation réaliste d’images médicales pour de la segmentation multi-domaine, par Pierre-Luc Delisle
Hiver 2021 - En codirection avec : Christian Desrosiers
Synthèse de diffusion sur variété riemannienne à partir d’imagerie structurelle en haute-résolution, par Benoit Anctil-Robitaille
Automne 2021
Publications
- Melanie Gaillochet, Mehrdad Noori, Sahar Dastani, Christian Desrosiers, Herve Lombaert. 2025 « Prompt learning with bounding box constraints for medical image segmentation ». IEEE Transactions on Biomedical Engineering
- Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz. 2025 « Neighbor-aware calibration of segmentation networks with penalty-based constraints ». Medical Image Analysis vol. 101
- Sukesh Adiga V, Jose Dolz, Herve Lombaert. 2024 « Anatomically-aware uncertainty for semi-supervised image segmentation ». Medical Image Analysis vol. 91
- Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert. 2023 « Active learning for medical image segmentation with stochastic batches ». Medical Image Analysis vol. 90
- Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2023 « Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation ». Medical Image Analysis vol. 90
- Mohammad Karami, Hervé Lombaert, David Rivest-Hénault. 2023 « Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning ». Computerized Medical Imaging and Graphics vol. 104
- Sukesh Adiga V, Jose Dolz, Herve Lombaert. 2022 « Attention-based dynamic subspace learners for medical image analysis ». IEEE Journal of Biomedical and Health Informatics vol. 26 , nº 9. p. 4599-4610
- Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2022 « Source-free domain adaptation for image segmentation ». Medical Image Analysis vol. 82
- Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2022 « State-of-the-art retinal vessel segmentation with minimalistic models ». Scientific Reports vol. 12 , nº 1
- Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2022 « Learnable pooling in graph convolutional networks for brain surface analysis ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 44 , nº 2. p. 864-876
- M. Bateson, J. Dolz, H. Kervadec, H. Lombaert, I. Ben Ayed. 2021 « Constrained domain adaptation for image segmentation ». IEEE Transactions on Medical Imaging vol. 40 , nº 7. p. 1875-1887
- Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert. 2021 « Realistic image normalization for multi-Domain segmentation ». Medical Image Analysis vol. 74
- Adrian Galdran, Jihed Chelbi, Riadh Kobi, José Dolz, Hervé Lombaert, Ismail Ben Ayed, Hadi Chakor. 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
- 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
- Ola Ahmad, Herve Lombaert, Stefan Parent, Hubert Labelle, Farida Cheriet. 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. p. 1552-1560
- Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert. 2024 « Automating MedSAM by learning prompts with weak few-shot supervision ». Foundation Models for General Medical AI : Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Proceedings (Marrakesh, Morocco, Oct. 06, 2024) Springer Cham
- Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert. 2023 « GeoLS: Geodesic label smoothing for image segmentation ». International Confefence on Medical Imaging with Deep Learning (MIDL) (Nashville, TN, USA, July 10-12, 2023) ML Research Press
- Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz. 2023 « Trust your neighbours: Penalty-based constraints for model calibration ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 26th International Conference, Proceedings, Part III (Vancouver, BC, Canada, Oct. 08-12, 2023) Springer Science and Business Media Deutschland GmbH
- Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert. 2022 « Leveraging labeling representations in uncertainty-based semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 25th International Conference, Proceedings, Part VIII (Singapore, Singapore, Sept. 18-22, 2022) Springer Science and Business Media Deutschland GmbH
- Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed. 2022 « Test-time adaptation with shape moments for image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 25th International Conference, Proceedings, Part IV (Singapore, Singapore, Sept. 18-22, 2022) Springer Science and Business Media Deutschland GmbH
- Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert. 2022 « TAAL: Test-time augmentation for active learning in medical image segmentation ». Data Augmentation, Labelling, and Imperfections, Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Proceedings (Singapore, Singapore, Sept. 22, 2022) Springer
- Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar, Herve Lombaert, Michael Gruninger, Dirk Walther, Kaleem Siddiqi. 2022 « Medial spectral coordinates for 3D shape analysis ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022) IEEE Computer Society
- Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert. 2021 « Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ». Computational Diffusion MRI : International MICCAI Workshop 2020 (Lima, Peru - En ligne, Oct. 08, 2020) Springer Science and Business Media
- Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2021 « SegRecon : Learning joint brain surface reconstruction and segmentation from images ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 : 24th International Conference, Proceedings, Part VII (Strasbourg, France, Sept. 27-Oct. 01, 2021) Springer Science and Business Media
- Mathilde Bateson, Hoel Kervadec, José Dolz, Hervé Lombaert, Ismail Ben Ayed. 2020 « Source-relaxed domain adaptation for image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Proceedings, Part I (Lima, Peru, Oct. 04-08, 2020) Springer Science and Business Media Deutschland GmbH
- Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Hervé Lombaert. 2020 « Adversarial normalization for multi domain image segmentation ». IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020) IEEE
- Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2020 « Cost-sensitive regularization for diabetic retinopathy grading from eye fundus images ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Proceedings, Part V (Lima, Peru, Oct. 04-08, 2020) Springer International Publishing
- Karthik Gopinath, Christian Desrosiers, Hervé Lombaert. 2020 « Graph domain adaptation for alignment-invariant brain surface segmentation ». 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, Proceedings (Lima, Peru, Oct. 08, 2020) Springer
- He Ran, Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2020 « Spectral graph transformer networks for brain surface parcellation ». IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020) IEEE
- Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2019 « Constrained domain adaptation for segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019) Springer
- 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) Springer Verlag