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Lombaert, Hervé

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Lombaert, Hervé

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Article de revue (23) Communication de conférence (51) Livre (4) Chapitre de livre Brevet (4) Rapport Thèse (1) Ensemble de données Ressource pédagogique Image Enregistrement audio Enregistrement vidéo Autre

Hervé Lombaert (83)

Articles de revue (23)
- 2025
  - Vasudeva, S. A., Dolz, J., & Lombaert, H. (2025). GeoLS: an Intensity-based, Geodesic Soft Labeling for Image Segmentation. The Journal of Machine Learning for Biomedical Imaging, 2(April 2025), 120-134.
  - Murugesan, B., Vasudeva, S. A., Liu, B., Lombaert, H., Ayed, I. B., & Dolz, J. (2025). Neighbor-aware calibration of segmentation networks with penalty-based constraints. Medical Image Analysis, 103501-103501.
  - Gaillochet, M., Noori, M., Dastani, S., Desrosiers, C., & Lombaert, H. (2025). Prompt learning with bounding box constraints for medical image segmentation. IEEE Transactions on Biomedical Engineering, 10 pages.
- 2024
  - Adiga Vasudeva, S., Dolz, J., & Lombaert, H. (2024). Anatomically-aware uncertainty for semi-supervised image segmentation. Medical Image Analysis, 91, 103011 (10 pages).
- 2023
  - Gaillochet, M., Desrosiers, C., & Lombaert, H. (2023). Active learning for medical image segmentation with stochastic batches. Medical Image Analysis, 90, 102958 (11 pages).
  - 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).
  - Karami, M., Lombaert, H., & Rivest-Hénault, D. (2023). Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning. Computerized Medical Imaging and Graphics, 104, 102165 (9 pages).
- 2022
  - Adiga V., S., Dolz, J., & Lombaert, H. (2022). Attention-Based Dynamic Subspace Learners for Medical Image Analysis. IEEE Journal of Biomedical and Health Informatics, 26(9), 4599-4610.
  - 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.
  - 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.
  - Bateson, M., Kervadec, H., Dolz, J., Lombaert, H., & Ben Ayed, I. (2022). Source-free domain adaptation for image segmentation. Medical Image Analysis, 82, 102617 (12 pages).
  - Galdrán, A., Anjos, A., Dolz, J., Chakor, H., Lombaert, H., & Ayed, I. B. (2022). State-of-the-art retinal vessel segmentation with minimalistic models. Scientific Reports, 12(1), 6174 (13 pages).
- 2021
  - Bateson, M., Dolz, J., Kervadec, H., Lombaert, H., & Ben Ayed, I. (2021). Constrained Domain Adaptation for Image Segmentation. IEEE Transactions on Medical Imaging, 40(7), 1875-1887.
  - 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).
- 2020
  - Galdrán, A., Chelbi, J., Kobi, R., Dolz, J., Lombaert, H., ben Ayed, I., & Chakor, H. (2020). Non-uniform Label Smoothing for Diabetic Retinopathy Grading from Retinal Fundus Images with Deep Neural Networks. Translational Vision Science & Technology, 9(2), 34 (8 pages).
- 2019
  - Gopinath, K., Desrosiers, C., & Lombaert, H. (2019). Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation. Medical Image Analysis, 54, 297-305.
  - 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.
- 2017
  - Ahmad, O., Lombaert, H., Parent, S., Labelle, H., & Cheriet, F. (2017). Spectral shape analysis of human torsos: Application to the evaluation of scoliosis surgery outcome. IEEE Journal of Biomedical and Health Informatics, 22(5), 1552-1560.
- 2016
  - Orasanu, E., Melbourne, A., Cardoso, M. J., Lombaert, H., Kendall, G. S., Robertson, N. J., Marlow, N., & Ourselin, S. (2016). Cortical folding of the preterm brain: a longitudinal analysis of extremely preterm born neonates using spectral matching. Brain and Behavior, 6(8), e00488 (17 pages).
  - Shakeri, M., Lombaert, H., Datta, A. N., Oser, N., Létourneau-Guillon, L., Lapointe, L. V., Martin, F., Malfait, D., Tucholka, A., Lippé, S., & Kadoury, S. (2016). Statistical shape analysis of subcortical structures using spectral matching. Computerized Medical Imaging and Graphics, 52, 58-71.
- 2014
  - Lombaert, H., Grady, L., Pennec, X., Ayache, N., & Cheriet, F. (2014). Spectral log-demons: Diffeomorphic image registration with very large deformations. International Journal of Computer Vision, 107(3), 254-271.
- 2013
  - Lombaert, H., Grady, L., Polimeni, J. R., & Cheriet, F. (2013). FOCUSR: Feature oriented correspondence using spectral regularization -A method for precise surface matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(9), 2143-2160.
- 2012
  - Lombaert, H., Peyrat, J.-M., Croisille, P., Rapacchi, S., Fanton, L., Cheriet, F., Clarysse, P., Magnin, I., Delingette, H., & Ayache, N. (2012). Human Atlas of the Cardiac Fiber Architecture: Study on a Healthy Population. IEEE Transactions on Medical Imaging, 31(7), 1436-1447.
Communications de conférence (51)
- 2024
  - Gaillochet, M., Desrosiers, C., & Lombaert, H. (octobre 2024). Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision [Communication écrite]. International Workshop on Foundation Models for General Medical AI (MedAGI 2024), Marrakesh, Morocco. Publié dans Lecture notes in computer science.
  - Abboud, Z., Lombaert, H., & Kadoury, S. (octobre 2024). Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis [Communication écrite]. 27th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024), Marrakesh, Morocco.
- 2023
  - Vasudeva, S. A., Dolz, J., & Lombaert, H. (juillet 2023). GeoLS: Geodesic Label Smoothing for Image Segmentation [Communication écrite]. Medical Imaging with Deep Learning (MIDL 2023), Nashville, TN, USA. Publié dans Proceedings of Machine Learning Research, 227.
  - Murugesan, B., Adiga Vasudeva, S., Liu, B., Lombaert, H., Ben Ayed, I., & Dolz, J. (octobre 2023). Trust Your Neighbours: Penalty-Based Constraints for Model Calibration [Communication écrite]. 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada.
- 2022
  - Adiga Vasudeva, S., Dolz, J., & Lombaert, H. (septembre 2022). Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation [Communication écrite]. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore.
  - Rezanejad, M., Khodadad, M., Mahyar, H., Lombaert, H., Grüninger, M., Walther, D., & Siddiqi, K. (juin 2022). Medial Spectral Coordinates for 3D Shape Analysis [Communication écrite]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA.
  - 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.
- 2021
  - 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.
- 2020
  - 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.
  - Galdrán, A., Dolz, J., Chakor, H., Lombaert, H., & Ben Ayed, I. (octobre 2020). Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images [Communication écrite]. 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru.
  - 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.
  - 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.
  - Bateson, M., Kervadec, H., Dolz, J., Lombaert, H., & Ben Ayed, I. (octobre 2020). Source-Relaxed Domain Adaptation for Image Segmentation [Communication écrite]. 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru.
  - 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.
- 2019
  - 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.
  - Reddy, C., Gopinath, K., & Lombaert, H. (juillet 2019). Brain tumor segmentation using topological loss in convolutional networks [Résumé]. Medical Imaging with Deep Learning (MIDL 2019), London, UK (4 pages).
  - Bateson, M., Kervadec, H., Dolz, J., Lombaert, H., & Ben Ayed, I. (octobre 2019). Constrained Domain Adaptation for Segmentation [Communication écrite]. 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China.
  - 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).
- 2017
  - Lombaert, H., Criminisi, A., & Ayache, N. (décembre 2017). Spectral learning of surface data: ideas from medical imaging [Communication écrite]. 31st Annual Conference on Neural Information Processing Systems (MED-NeurIPS/NIPS 2017), Long Beach, CA, USA (3 pages).
- 2016
  - Shakeri, M., Lombaert, H., Tripathi, S., & Kadoury, S. (octobre 2016). Deep spectral-based shape features for Alzheimers disease classification [Communication écrite]. 1st International Workshop on Spectral and Shape Analysis in Medical Imaging (SeSAMI 2016), Athens, Greece.
  - Orasanu, E., Bazin, P.-L., Melbourne, A., Lorenzi, M., Lombaert, H., Robertson, N. J., Kendall, G., Weiskopf, N., Marlow, N., & Ourselin, S. (octobre 2016). Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching [Communication écrite]. 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016), Athens, Greece.
  - Ahmad, O., Lombaert, H., Parent, S., Labelle, H., Dansereau, J., & Cheriet, F. (octobre 2016). Longitudinal scoliotic trunk analysis via spectral representation and statistical analysis [Communication écrite]. 1st International Workshop on Spectral and Shape Analysis in Medical Imaging (SeSAMI 2016), Athens, Greece.
  - Orasanu, E., Melbourne, A., Modat, M., Lorenzi, M., Lombaert, H., Eaton-Rosen, Z., Robertson, N. J., Kendall, G., Marlow, N., & Ourselin, S. (mai 2016). Mapping longitudinal whiter matter changes in extremely preterm born indants [Communication écrite]. ISMRM 24th Annual Meeting and Exhibition (ISMRM 2016), Singapore.
- 2015
  - Lombaert, H., Arcaro, M., Kastner, S., & Ayache, N. (octobre 2015). Brain transfer for the analysis of cortical data [Affiche]. Society for Neuroscience Annual Meeting (SfN 2015), Chicago, IL, USA.
  - Lombaert, H., Arcaro, M., & Ayache, N. (juin 2015). Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps [Communication écrite]. 24th International Conference on Information Processing in Medical Imaging (IPMI 2015), Isle of Skye, Scotland, UK.
  - Shakeri, M., Lombaert, H., & Kadoury, S. (juillet 2015). Classification of Alzheimer's Disease Using Discriminant Manifolds of Hippocampus Shapes [Communication écrite]. 1st International Workshop on Machine Learning Meets Medical Imaging (MLMMI 2015), Lille, France.
  - Bleton, H., Margeta, J., Lombaert, H., Delingette, H., & Ayache, N. (octobre 2015). Myocardial Infarct Localization Using Neighbourhood Approximation Forests [Communication écrite]. 6th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2015), Munich, Germany.
  - Molléro, R., Neumann, D., Rohé, M.-M., Datar, M., Lombaert, H., Ayache, N., Comaniciu, D., Ecabert, O., Chinali, M., Rinelli, G., Pennec, X., Sermesant, M., & Mansi, T. (juin 2015). Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study [Communication écrite]. 8th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2015), Maastricht, The Netherlands.
  - Lombaert, H., Criminisi, A., & Ayache, N. (octobre 2015). Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation [Communication écrite]. 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015), Munich, Germany.
  - Orasanu, E., Melbourne, A., Lorenzi, M., Modat, M., Lombaert, H., Eaton-Rosen, Z., Robertson, N. J., Kendall, G., Marlow, N., & Ourselin, S. (octobre 2015). Tensor spectral matching of diffusion weighted images [Communication écrite]. MICCAI 2015 Workshop: Spectral Analysis in Medical Imaging (SAMI 2015), Munich, Germany. Publié dans The MIDAS Journal.
- 2014
  - Shakeri, M., Lombaert, H., Lippé, S., & Kadoury, S. (février 2014). Groupwise shape analysis of the hippocampus using spectral matching [Communication écrite]. SPIE Medical Imaging, San Diego, California, United States.
  - Lombaert, H., Zikic, D., Criminisi, A., & Ayache, N. (septembre 2014). Laplacian Forests: Semantic Image Segmentation by Guided Bagging [Communication écrite]. 17th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014), Boston, MA, USA.
  - Shi, W., Lombaert, H., Bai, W., Ledig, C., Zhuang, X., Marvao, A., Dawes, T., O’Regan, D., & Rueckert, D. (septembre 2014). Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation [Communication écrite]. 17th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014), Boston, MA, USA.
  - Orasanu, E., Melbourne, A., Lombaert, H., Cardoso, M. J., Johnsen, S. F., Kendall, G. S., Robertson, N. J., Marlow, N., & Ourselin, S. (septembre 2014). Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates [Communication écrite]. 3rd International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data (STIA 2014), Boston, MA, USA.
- 2013
  - Novosad, P., Bieth, M., Gravel, P., Lombaert, H., Siddiqi, K., & Reader, A. J. (octobre 2013). Applying a [¹¹C]raclopride template to automated binding potential estimation in HRRT brain PET [Communication écrite]. IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), Seoul, Korea (8 pages).
  - Bieth, M., Lombaert, H., Reader, A. J., & Siddiqi, K. (septembre 2013). Atlas Construction for Dynamic (4D) PET Using Diffeomorphic Transformations [Communication écrite]. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Nagoya, Japan.
  - Piuze, E., Lombaert, H., Sporring, J., Strijkers, G. J., Bakermans, A. J., & Siddiqi, K. (juin 2013). Atlases of Cardiac Fiber Differential Geometry [Communication écrite]. 7th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2013), London, UK.
  - Piuze, E., Lombaert, H., Sporring, J., & Siddiqi, K. (septembre 2013). Cardiac Fiber Inpainting Using Cartan Forms [Communication écrite]. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Nagoya, Japan.
  - Lombaert, H., Sporring, J., & Siddiqi, K. (juin 2013). Diffeomorphic Spectral Matching of Cortical Surfaces [Communication écrite]. 23rd International Conference on Information Processing in Medical Imaging (IPMI 2013), Asimolar, CA, USA.
  - Lombaert, H., & Peyrat, J.-M. (septembre 2013). Joint Statistics on Cardiac Shape and Fiber Architecture [Communication écrite]. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Nagoya, Japan.
- 2012
  - Lombaert, H., Grady, L., Pennec, X., Peyrat, J.-M., Ayache, N., & Cheriet, F. (octobre 2012). Groupwise spectral log-demons framework for atlas construction [Communication écrite]. 2nd MICCAI Workshop on Medical Computer Vision (MICCAI-MCV 2012), Nice, France.
  - Lombaert, H., & Cheriet, F. (juillet 2012). Simultaneous image de-noising and registration using graph cuts: Application to corrupted medical images [Communication écrite]. 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2012), Montréal, Québec.
  - Lombaert, H., Grady, L., Pennec, X., Ayache, N., & Cheriet, F. (octobre 2012). Spectral demons - Image registration via global spectral correspondence [Communication écrite]. 12th European Conference on Computer Vision (ECCV 2012), Florence, Italy.
- 2011
  - Lombaert, H., Grady, L., Polimeni, J.̈. R., & Cheriet, F. (juillet 2011). Fast brain matching with spectral correspondence [Communication écrite]. 22nd International Conference on Information Processing in Medical Imaging (IPMI 2011), Kloster Irsee, Germany.
  - Lombaert, H., Sun, Y., & Cheriet, F. (février 2011). Fast 4D segmentation of large datasets using graph cuts [Communication écrite]. Medical Imaging 2011: Image Processing, Lake Buena Vista, FL, United states (7 pages).
  - Lombaert, H., Peyrat, J.-M., Croisille, P., Rapacchi, S., Fanton, L., Clarysse, P., Delingette, H., & Ayache, N. (mai 2011). Statistical analysis of the human cardiac fiber architecture from DT-MRI [Communication écrite]. 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011, New York City, NY, United states.
  - Lombaert, H., Peyrat, J.-M., Fanton, L., Cheriet, F., Delingette, H., Ayache, N., Clarysse, P., Magnin, I., & Croisille, P. (septembre 2011). Statistical atlas of human cardiac fibers: Comparison with abnormal hearts [Communication écrite]. 2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges (STACOM 2011), Toronto, Canada.
  - Lombaert, H., Peyrat, J.-M., Fanton, L., Cheriet, F., Delingette, H., Ayache, N., Clarysse, P., Magnin, I., & Croisille, P. (septembre 2011). Variability of the human cardiac laminar structure [Communication écrite]. 2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges (STACOM 2011), Toronto, Canada.
- 2010
  - Lombaert, H., & Cheriet, F. (août 2010). Geodesic Thin Plate Splines for Image Segmentation [Communication écrite]. 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul.
  - Lombaert, H., & Cheriet, F. (avril 2010). Spatio-temporal segmentation of the heart in 4D MRI images using graph cuts with motion cues [Communication écrite]. 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands.
- 2007
  - Lombaert, H., Sun, Y., & Cheriet, F. (août 2007). Landmark-based non-rigid registration via graph cuts [Communication écrite]. 4th International Conference on Image Analysis and Recognition (ICIAR 2007), Montréal, Québec.
Livres (4)
- 2020
  - Reuter, M., Wachinger, C., Lombaert, H., Paniagua, B., Goksel, O., & Rekik, I. (édit.) (2020). Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings.
- 2018
  - Reuter, M., Wachinger, C., Lombaert, H., Paniagua, B., Lüthi, M., & Egger, B. (édit.) (2018). Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings.
- 2016
  - Reuter, M., Wachinger, C., & Lombaert, H. (édit.) (2016). Spectral and Shape Analysis in Medical Imaging: First International Workshop, SeSAMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Revised Selected Papers.
- 2015
  - Bhatia, K., & Lombaert, H. (2015). Machine Learning Meets Medical Imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers.
Brevets (4)
- 2015
  - Grady, L., Lombaert, H., Polimeni Rizzo, J., & Cheriet, F. (2015). Methods and systems for fast automatic brain matching via spectral correspondence. (Brevet no US8965077).
- 2014
  - Sun, Y., Lombaert, H., Grady, L., & Xu, C. (2014). Multilevel image segmentation. (Brevet no US8913830).
- 2012
  - Sun, Y., Lombaert, H., & Cheriet, F. (2012). Fast 4D segmentation of large datasets using graph cuts. (Brevet no US8131075).
- 2011
  - Lombaert, H., Sauer, F., Sun, Y., & Xu, C. (2011). Methods and apparatus for interactive 4-dimensional (4D) virtual endoscopy. (Brevet no US8007437).
Thèses (1)
- 2012
  - Lombaert, H. (2012). Atlas Construction for Measuring the Variability of Complex Anatomical Structures [Thèse de doctorat, École Polytechnique de Montréal].

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Lombaert, Hervé

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Hervé Lombaert (83)