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Hervé Lombaert
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2020 – today
- 2024
- [j16]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Anatomically-aware uncertainty for semi-supervised image segmentation. Medical Image Anal. 91: 103011 (2024) - [c45]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision. MedAGI@MICCAI 2024: 61-70 - [c44]Zeinab Abboud, Herve Lombaert, Samuel Kadoury:
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis. MICCAI (10) 2024: 675-684 - [i28]Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz:
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR abs/2401.14487 (2024) - [i27]Zeinab Abboud, Hervé Lombaert, Samuel Kadoury:
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis. CoRR abs/2406.06946 (2024) - [i26]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision. CoRR abs/2409.20293 (2024) - 2023
- [j15]Mohammad Karami, Hervé Lombaert, David Rivest-Hénault:
Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning. Comput. Medical Imaging Graph. 104: 102165 (2023) - [j14]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
Active learning for medical image segmentation with stochastic batches. Medical Image Anal. 90: 102958 (2023) - [j13]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation. Medical Image Anal. 90: 102974 (2023) - [c43]Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz:
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) 2023: 572-581 - [c42]Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert:
GeoLS: Geodesic Label Smoothing for Image Segmentation. MIDL 2023: 468-478 - [i25]Mohammad Karami, Hervé Lombaert, David Rivest-Hénault:
Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning. CoRR abs/2301.04614 (2023) - [i24]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation. CoRR abs/2301.06624 (2023) - [i23]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
Active learning for medical image segmentation with stochastic batches. CoRR abs/2301.07670 (2023) - [i22]Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz:
Trust your neighbours: Penalty-based constraints for model calibration. CoRR abs/2303.06268 (2023) - [i21]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation. CoRR abs/2310.16099 (2023) - 2022
- [j12]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Source-free domain adaptation for image segmentation. Medical Image Anal. 82: 102617 (2022) - [j11]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 864-876 (2022) - [j10]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Attention-Based Dynamic Subspace Learners for Medical Image Analysis. IEEE J. Biomed. Health Informatics 26(9): 4599-4610 (2022) - [c41]Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar, Herve Lombaert, Michael Gruninger, Dirk B. Walther, Kaleem Siddiqi:
Medial Spectral Coordinates for 3D Shape Analysis. CVPR 2022: 2676-2686 - [c40]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
TAAL: Test-Time Augmentation for Active Learning in Medical Image Segmentation. DALI@MICCAI 2022: 43-53 - [c39]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation. MICCAI (8) 2022: 265-275 - [c38]Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed:
Test-Time Adaptation with Shape Moments for Image Segmentation. MICCAI (4) 2022: 736-745 - [i20]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation. CoRR abs/2203.05682 (2022) - [i19]Mathilde Bateson, Hervé Lombaert, Ismail Ben Ayed:
Test-Time Adaptation with Shape Moments for Image Segmentation. CoRR abs/2205.07983 (2022) - [i18]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Attention-based Dynamic Subspace Learners for Medical Image Analysis. CoRR abs/2206.09068 (2022) - 2021
- [j9]Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Realistic image normalization for multi-Domain segmentation. Medical Image Anal. 74: 102191 (2021) - [j8]Mathilde Bateson, José Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained Domain Adaptation for Image Segmentation. IEEE Trans. Medical Imaging 40(7): 1875-1887 (2021) - [c37]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images. MICCAI (7) 2021: 650-659 - [i17]Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Source-Free Domain Adaptation for Image Segmentation. CoRR abs/2108.03152 (2021) - [i16]Benoit Anctil-Robitaille, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Hervé Lombaert:
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging. CoRR abs/2108.04135 (2021) - [i15]Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar, Herve Lombaert, Michael Gruninger, Dirk B. Walther, Kaleem Siddiqi:
Medial Spectral Coordinates for 3D Shape Analysis. CoRR abs/2111.13295 (2021) - 2020
- [c36]Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Spectral Graph Transformer Networks for Brain Surface Parcellation. ISBI 2020: 372-376 - [c35]Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Adversarial Normalization for Multi Domain Image Segmentation. ISBI 2020: 849-853 - [c34]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation. UNSURE/GRAIL@MICCAI 2020: 152-163 - [c33]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Source-Relaxed Domain Adaptation for Image Segmentation. MICCAI (1) 2020: 490-499 - [c32]Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. MICCAI (5) 2020: 665-674 - [e5]Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Orcun Goksel, Islem Rekik:
Shape in Medical Imaging - International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12474, Springer 2020, ISBN 978-3-030-61055-5 [contents] - [e4]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Hervé Lombaert, Christopher Pal:
International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. Proceedings of Machine Learning Research 121, PMLR 2020 [contents] - [i14]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation. CoRR abs/2004.00074 (2020) - [i13]Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis. CoRR abs/2004.00173 (2020) - [i12]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Manifold-driven Attention Maps for Weakly Supervised Segmentation. CoRR abs/2004.03046 (2020) - [i11]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed:
Source-Relaxed Domain Adaptation for Image Segmentation. CoRR abs/2005.03697 (2020) - [i10]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal:
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR abs/2007.02319 (2020) - [i9]Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. CoRR abs/2009.01907 (2020) - [i8]Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Realistic Image Normalization for Multi-Domain Segmentation. CoRR abs/2009.14024 (2020) - [i7]Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. CoRR abs/2010.00291 (2020)
2010 – 2019
- 2019
- [j7]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation. Medical Image Anal. 54: 297-305 (2019) - [j6]Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Trans. Medical Imaging 38(5): 1116-1126 (2019) - [c31]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Adaptive Graph Convolution Pooling for Brain Surface Analysis. IPMI 2019: 86-98 - [c30]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Constrained Domain Adaptation for Segmentation. MICCAI (2) 2019: 326-334 - [i6]Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained domain adaptation for segmentation. CoRR abs/1908.02996 (2019) - [i5]Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Spectral Graph Transformer Networks for Brain Surface Parcellation. CoRR abs/1911.10118 (2019) - [i4]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis. CoRR abs/1911.10129 (2019) - [i3]Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Adversarial normalization for multi domain image segmentation. CoRR abs/1912.00993 (2019) - 2018
- [j5]Ola Ahmad, Herve Lombaert, Stefan Parent, Hubert Labelle, Farida Cheriet:
Spectral Shape Analysis of Human Torsos: Application to the Evaluation of Scoliosis Surgery Outcome. IEEE J. Biomed. Health Informatics 22(5): 1552-1560 (2018) - [e3]Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Marcel Lüthi, Bernhard Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11167, Springer 2018, ISBN 978-3-030-04746-7 [contents] - [i2]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data. CoRR abs/1803.10336 (2018) - [i1]Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation. CoRR abs/1804.02967 (2018) - 2016
- [j4]Mahsa Shakeri, Herve Lombaert, Alexandre N. Datta, Nadine Oser, Laurent Létourneau-Guillon, Laurence Vincent Lapointe, Florence Martin, Domitille Malfait, Alan Tucholka, Sarah Lippé, Samuel Kadoury:
Statistical shape analysis of subcortical structures using spectral matching. Comput. Medical Imaging Graph. 52: 58-71 (2016) - [c29]Mahsa Shakeri, Hervé Lombaert, Shashank Tripathi, Samuel Kadoury:
Deep Spectral-Based Shape Features for Alzheimer's Disease Classification. SeSAMI@MICCAI 2016: 15-24 - [c28]Ola Ahmad, Herve Lombaert, Stefan Parent, Hubert Labelle, Jean Dansereau, Farida Cheriet:
Longitudinal Scoliotic Trunk Analysis via Spectral Representation and Statistical Analysis. SeSAMI@MICCAI 2016: 79-91 - [c27]Eliza Orasanu, Pierre-Louis Bazin, Andrew Melbourne, Marco Lorenzi, Hervé Lombaert, Nicola J. Robertson, Giles S. Kendall, Nikolaus Weiskopf, Neil Marlow, Sébastien Ourselin:
Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching. MICCAI (1) 2016: 255-263 - [e2]Martin Reuter, Christian Wachinger, Hervé Lombaert:
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. Lecture Notes in Computer Science 10126, Springer 2016, ISBN 978-3-319-51236-5 [contents] - 2015
- [c26]Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Hervé Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, Tommaso Mansi:
Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. FIMH 2015: 448-456 - [c25]Mahsa Shakeri, Hervé Lombaert, Samuel Kadoury:
Classification of Alzheimer's Disease Using Discriminant Manifolds of Hippocampus Shapes. MLMMI@ICML 2015: 65-73 - [c24]Herve Lombaert, Michael Arcaro, Nicholas Ayache:
Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps. IPMI 2015: 474-487 - [c23]Héloïse Bleton, Ján Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache:
Myocardial Infarct Localization Using Neighbourhood Approximation Forests. STACOM@MICCAI 2015: 108-116 - [c22]Herve Lombaert, Antonio Criminisi, Nicholas Ayache:
Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation. MICCAI (1) 2015: 547-555 - [e1]Kanwal K. Bhatia, Herve Lombaert:
Machine Learning Meets Medical Imaging - First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9487, Springer 2015, ISBN 978-3-319-27928-2 [contents] - 2014
- [j3]Herve Lombaert, Leo J. Grady, Xavier Pennec, Nicholas Ayache, Farida Cheriet:
Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations. Int. J. Comput. Vis. 107(3): 254-271 (2014) - [c21]Eliza Orasanu, Andrew Melbourne, Herve Lombaert, Manuel Jorge Cardoso, Stian Flage Johnsen, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates. STIA 2014: 3-12 - [c20]Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert:
Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. MICCAI (1) 2014: 348-355 - [c19]Herve Lombaert, Darko Zikic, Antonio Criminisi, Nicholas Ayache:
Laplacian Forests: Semantic Image Segmentation by Guided Bagging. MICCAI (2) 2014: 496-504 - [c18]Mahsa Shakeri, Hervé Lombaert, Sarah Lippé, Samuel Kadoury:
Groupwise shape analysis of the hippocampus using spectral matching. Medical Imaging: Image Processing 2014: 90340W - 2013
- [j2]Herve Lombaert, Leo J. Grady, Jonathan R. Polimeni, Farida Cheriet:
FOCUSR: Feature Oriented Correspondence Using Spectral Regularization-A Method for Precise Surface Matching. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2143-2160 (2013) - [c17]Emmanuel Piuze, Herve Lombaert, Jon Sporring, Gustav J. Strijkers, Adrianus J. Bakermans, Kaleem Siddiqi:
Atlases of Cardiac Fiber Differential Geometry. FIMH 2013: 442-449 - [c16]Herve Lombaert, Jon Sporring, Kaleem Siddiqi:
Diffeomorphic Spectral Matching of Cortical Surfaces. IPMI 2013: 376-389 - [c15]Marie Bieth, Herve Lombaert, Andrew J. Reader, Kaleem Siddiqi:
Atlas Construction for Dynamic (4D) PET Using Diffeomorphic Transformations. MICCAI (2) 2013: 35-42 - [c14]Herve Lombaert, Jean-Marc Peyrat:
Joint Statistics on Cardiac Shape and Fiber Architecture. MICCAI (2) 2013: 492-500 - [c13]Emmanuel Piuze, Herve Lombaert, Jon Sporring, Kaleem Siddiqi:
Cardiac Fiber Inpainting Using Cartan Forms. MICCAI (2) 2013: 509-517 - 2012
- [j1]Herve Lombaert, Jean-Marc Peyrat, Pierre Croisille, Stanislas Rapacchi, Laurent Fanton, Farida Cheriet, Patrick Clarysse, Isabelle E. Magnin, Hervé Delingette, Nicholas Ayache:
Human Atlas of the Cardiac Fiber Architecture: Study on a Healthy Population. IEEE Trans. Medical Imaging 31(7): 1436-1447 (2012) - [c12]Herve Lombaert, Leo J. Grady, Xavier Pennec, Nicholas Ayache, Farida Cheriet:
Spectral Demons - Image Registration via Global Spectral Correspondence. ECCV (2) 2012: 30-44 - [c11]Herve Lombaert, Farida Cheriet:
Simultaneous image de-noising and registration using graph cuts: Application to corrupted medical images. ISSPA 2012: 264-268 - [c10]Herve Lombaert, Leo J. Grady, Xavier Pennec, Jean-Marc Peyrat, Nicholas Ayache, Farida Cheriet:
Groupwise Spectral Log-Demons Framework for Atlas Construction. MCV 2012: 11-19 - 2011
- [c9]Herve Lombaert, Jean-Marc Peyrat, Pierre Croisille, Stanislas Rapacchi, Laurent Fanton, Patrick Clarysse, Herve Delingette, Nicholas Ayache:
Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI. FIMH 2011: 171-179 - [c8]Herve Lombaert, Leo J. Grady, Jonathan R. Polimeni, Farida Cheriet:
Fast Brain Matching with Spectral Correspondence. IPMI 2011: 660-673 - [c7]Herve Lombaert, Jean-Marc Peyrat, Laurent Fanton, Farida Cheriet, Hervé Delingette, Nicholas Ayache, Patrick Clarysse, Isabelle E. Magnin, Pierre Croisille:
Variability of the Human Cardiac Laminar Structure. STACOM 2011: 160-167 - [c6]Herve Lombaert, Jean-Marc Peyrat, Laurent Fanton, Farida Cheriet, Hervé Delingette, Nicholas Ayache, Patrick Clarysse, Isabelle E. Magnin, Pierre Croisille:
Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts. STACOM 2011: 207-213 - [c5]Hervé Lombaert, Yiyong Sun, Farida Cheriet:
Fast 4D segmentation of large datasets using graph cuts. Medical Imaging: Image Processing 2011: 79622H - 2010
- [c4]Herve Lombaert, Farida Cheriet:
Geodesic Thin Plate Splines for Image Segmentation. ICPR 2010: 2234-2237 - [c3]Herve Lombaert, Farida Cheriet:
Spatio-temporal segmentation of the heart in 4D MRI images using graph cuts with motion cues. ISBI 2010: 492-495
2000 – 2009
- 2007
- [c2]Herve Lombaert, Yiyong Sun, Farida Cheriet:
Landmark-Based Non-rigid Registration Via Graph Cuts. ICIAR 2007: 166-175 - 2005
- [c1]Herve Lombaert, Yiyong Sun, Leo J. Grady, Chenyang Xu:
A Multilevel Banded Graph Cuts Method for Fast Image Segmentation. ICCV 2005: 259-265
Coauthor Index
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