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Xavier Bresson
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2020 – today
- 2024
- [c43]Thomas Laurent, James von Brecht, Xavier Bresson:
Feature Collapse. ICLR 2024 - [c42]Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi:
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. ICLR 2024 - [c41]Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You:
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. ICML 2024 - [c40]Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang:
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) 2024: 1789-1792 - [i40]Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann:
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification. CoRR abs/2401.09953 (2024) - [i39]Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You:
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. CoRR abs/2402.05011 (2024) - [i38]Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi:
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR abs/2402.07630 (2024) - [i37]Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson:
Advancing Graph Convolutional Networks via General Spectral Wavelets. CoRR abs/2405.13806 (2024) - 2023
- [j27]Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Benchmarking Graph Neural Networks. J. Mach. Learn. Res. 24: 43:1-43:48 (2023) - [c39]Thomas Laurent, James von Brecht, Xavier Bresson:
Long-Tailed Learning Requires Feature Learning. ICLR 2023 - [c38]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. ICML 2023: 12724-12745 - [c37]Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic:
Reconstruction of short genomic sequences with graph convolutional networks. MIPRO 2023: 403-409 - [d2]Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson:
fma-small-tfds. Zenodo, 2023 - [i36]Thomas Laurent, James H. von Brecht, Xavier Bresson:
Feature Collapse. CoRR abs/2305.16162 (2023) - [i35]Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi:
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR abs/2305.19523 (2023) - [i34]Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao:
Graph Transformers for Large Graphs. CoRR abs/2312.11109 (2023) - 2022
- [j26]Peng Xu, Chaitanya K. Joshi, Xavier Bresson:
Multigraph Transformer for Free-Hand Sketch Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5150-5161 (2022) - [c36]Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Graph Neural Networks with Learnable Structural and Positional Representations. ICLR 2022 - [i33]Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim:
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. CoRR abs/2203.00903 (2022) - [i32]Thomas Laurent, James H. von Brecht, Xavier Bresson:
A Model of One-Shot Generalization. CoRR abs/2205.14553 (2022) - [i31]Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic:
Learning to Untangle Genome Assembly with Graph Convolutional Networks. CoRR abs/2206.00668 (2022) - [i30]Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim:
Semantic Role Aware Correlation Transformer for Text to Video Retrieval. CoRR abs/2206.12849 (2022) - [i29]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. CoRR abs/2212.13350 (2022) - 2021
- [c35]Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim:
Semantic Role Aware Correlation Transformer For Text To Video Retrieval. ICIP 2021: 1334-1338 - [i28]Xavier Bresson, Thomas Laurent:
The Transformer Network for the Traveling Salesman Problem. CoRR abs/2103.03012 (2021) - [i27]Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Graph Neural Networks with Learnable Structural and Positional Representations. CoRR abs/2110.07875 (2021) - 2020
- [i26]Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Benchmarking Graph Neural Networks. CoRR abs/2003.00982 (2020) - [i25]Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson:
Learning TSP Requires Rethinking Generalization. CoRR abs/2006.07054 (2020) - [i24]Vijay Prakash Dwivedi, Xavier Bresson:
A Generalization of Transformer Networks to Graphs. CoRR abs/2012.09699 (2020) - [i23]Axel Nilsson, Xavier Bresson:
An Experimental Study of the Transferability of Spectral Graph Networks. CoRR abs/2012.10258 (2020)
2010 – 2019
- 2019
- [j25]Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein:
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters. IEEE Trans. Signal Process. 67(1): 97-109 (2019) - [i22]Yao Yang Leow, Thomas Laurent, Xavier Bresson:
GraphTSNE: A Visualization Technique for Graph-Structured Data. CoRR abs/1904.06915 (2019) - [i21]Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson:
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem. CoRR abs/1906.01227 (2019) - [i20]Xavier Bresson, Thomas Laurent:
A Two-Step Graph Convolutional Decoder for Molecule Generation. CoRR abs/1906.03412 (2019) - [i19]Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson:
On Learning Paradigms for the Travelling Salesman Problem. CoRR abs/1910.07210 (2019) - [i18]Peng Xu, Chaitanya K. Joshi, Xavier Bresson:
Multi-Graph Transformer for Free-Hand Sketch Recognition. CoRR abs/1912.11258 (2019) - 2018
- [c34]Suyash Lakhotia, Xavier Bresson:
An Experimental Comparison of Text Classification Techniques. CW 2018: 58-65 - [c33]Federico Monti, Michael M. Bronstein, Xavier Bresson:
Deep Geometric Matrix Completion: A New Way for Recommender Systems. ICASSP 2018: 6852-6856 - [c32]Xavier Bresson, Thomas Laurent:
An Experimental Study of Neural Networks for Variable Graphs. ICLR (Workshop) 2018 - [c31]Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson:
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. ICONIP (1) 2018: 362-373 - 2017
- [j24]Alessandra Griffa, Benjamin Ricaud, Kirell Benzi, Xavier Bresson, Alessandro Daducci, Pierre Vandergheynst, Jean-Philippe Thiran, Patric Hagmann:
Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems. NeuroImage 155: 490-502 (2017) - [c30]Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson:
FMA: A Dataset for Music Analysis. ISMIR 2017: 316-323 - [c29]Federico Monti, Michael M. Bronstein, Xavier Bresson:
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks. NIPS 2017: 3697-3707 - [d1]Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson:
FMA: A Dataset For Music Analysis. UCI Machine Learning Repository, 2017 - [i17]Federico Monti, Michael M. Bronstein, Xavier Bresson:
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks. CoRR abs/1704.06803 (2017) - [i16]Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein:
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters. CoRR abs/1705.07664 (2017) - [i15]Xavier Bresson, Thomas Laurent:
Residual Gated Graph ConvNets. CoRR abs/1711.07553 (2017) - 2016
- [j23]Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson:
Consistency of Cheeger and Ratio Graph Cuts. J. Mach. Learn. Res. 17: 181:1-181:46 (2016) - [c28]Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst:
Song recommendation with non-negative matrix factorization and graph total variation. ICASSP 2016: 2439-2443 - [c27]Rodrigo C. G. Pena, Xavier Bresson, Pierre Vandergheynst:
Source localization on graphs via ℓ1 recovery and spectral graph theory. IVMSP 2016: 1-5 - [c26]Thomas Laurent, James H. von Brecht, Xavier Bresson, Arthur Szlam:
The Product Cut. NIPS 2016: 3792-3800 - [c25]Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst:
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. NIPS 2016: 3837-3845 - [i14]Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst:
Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation. CoRR abs/1601.01892 (2016) - [i13]Rodrigo C. G. Pena, Xavier Bresson, Pierre Vandergheynst:
Source Localization on Graphs via l1 Recovery and Spectral Graph Theory. CoRR abs/1603.07584 (2016) - [i12]Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst:
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. CoRR abs/1606.09375 (2016) - [i11]Kirell Benzi, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson:
FMA: A Dataset For Music Analysis. CoRR abs/1612.01840 (2016) - [i10]Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson:
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. CoRR abs/1612.07659 (2016) - 2015
- [j22]Sébastien Tourbier, Xavier Bresson, Patric Hagmann, Jean-Philippe Thiran, Reto Meuli, Meritxell Bach Cuadra:
An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization. NeuroImage 118: 584-597 (2015) - [j21]Virginia Estellers, Stefano Soatto, Xavier Bresson:
Adaptive Regularization With the Structure Tensor. IEEE Trans. Image Process. 24(6): 1777-1790 (2015) - [c24]Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst:
Functional correspondence by matrix completion. CVPR 2015: 905-914 - [c23]Xavier Bresson, Thomas Laurent, James H. von Brecht:
Enhanced lasso recovery on graph. EUSIPCO 2015: 1501-1505 - [c22]Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst:
Robust Principal Component Analysis on Graphs. ICCV 2015: 2812-2820 - [i9]Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst:
Robust Principal Component Analysis on Graphs. CoRR abs/1504.06151 (2015) - [i8]Xavier Bresson, Thomas Laurent, James H. von Brecht:
Enhanced Lasso Recovery on Graph. CoRR abs/1506.05985 (2015) - 2014
- [j20]Xavier Bresson, Xue-Cheng Tai, Tony F. Chan, Arthur Szlam:
Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model. J. Math. Imaging Vis. 49(1): 191-201 (2014) - [j19]Virginia Estellers, Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran:
Harmonic Active Contours. IEEE Trans. Image Process. 23(1): 69-82 (2014) - [j18]Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran:
Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches. IEEE Trans. Image Process. 23(2): 673-683 (2014) - [j17]Sylvia Rueda, Sana Fathima, Caroline L. Knight, Mohammad Yaqub, Aris T. Papageorghiou, Bahbibi Rahmatullah, Alessandro Foi, Matteo Maggioni, Antonietta Pepe, Jussi Tohka, Richard V. Stebbing, John McManigle, Anca Ciurte, Xavier Bresson, Meritxell Bach Cuadra, Changming Sun, Gennady V. Ponomarev, Mikhail S. Gelfand, Marat D. Kazanov, Ching-Wei Wang, Hsiang-Chou Chen, Chun-Wei Peng, Chu-Mei Hung, J. Alison Noble:
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Trans. Medical Imaging 33(4): 797-813 (2014) - [c21]Sébastien Tourbier, Xavier Bresson, Patric Hagmann, Jean-Philippe Thiran, Reto Meuli, Meritxell Bach Cuadra:
Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction. MICCAI (2) 2014: 252-259 - [i7]Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James H. von Brecht:
An Incremental Reseeding Strategy for Clustering. CoRR abs/1406.3837 (2014) - [i6]Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst:
Matrix Completion on Graphs. CoRR abs/1408.1717 (2014) - [i5]Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson:
Consistency of Cheeger and Ratio Graph Cuts. CoRR abs/1411.6590 (2014) - [i4]Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst:
Functional correspondence by matrix completion. CoRR abs/1412.8070 (2014) - 2013
- [j16]Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson:
Enhanced Compressed Sensing Recovery With Level Set Normals. IEEE Trans. Image Process. 22(7): 2611-2626 (2013) - [c20]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Multiclass Total Variation Clustering. NIPS 2013: 1421-1429 - [i3]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Multiclass Total Variation Clustering. CoRR abs/1306.1185 (2013) - 2012
- [j15]Ethan S. Brown, Tony F. Chan, Xavier Bresson:
Completely Convex Formulation of the Chan-Vese Image Segmentation Model. Int. J. Comput. Vis. 98(1): 103-121 (2012) - [j14]Virginia Estellers, Dominique Zosso, Rongjie Lai, Stanley J. Osher, Jean-Philippe Thiran, Xavier Bresson:
Efficient Algorithm for Level Set Method Preserving Distance Function. IEEE Trans. Image Process. 21(12): 4722-4734 (2012) - [c19]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Convergence and Energy Landscape for Cheeger Cut Clustering. NIPS 2012: 1394-1402 - [i2]Xavier Bresson, Ruiliang Zhang:
TV-SVM: Total Variation Support Vector Machine for Semi-Supervised Data Classification. CoRR abs/1210.0699 (2012) - [i1]Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson:
Enhanced Compressed Sensing Recovery with Level Set Normals. CoRR abs/1210.3350 (2012) - 2011
- [j13]Subrahmanyam Gorthi, Valerie Duay, Xavier Bresson, Meritxell Bach Cuadra, F. Javier Sánchez Castro, Claudio Pollo, Abdelkarim Allal, Jean-Philippe Thiran:
Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework. Medical Image Anal. 15(6): 787-800 (2011) - [j12]Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran:
Geodesic Active Fields - A Geometric Framework for Image Registration. IEEE Trans. Image Process. 20(5): 1300-1312 (2011) - [j11]Miyoun Jung, Xavier Bresson, Tony F. Chan, Luminita A. Vese:
Nonlocal Mumford-Shah Regularizers for Color Image Restoration. IEEE Trans. Image Process. 20(6): 1583-1598 (2011) - [c18]Virginia Estellers, Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran:
Harmonic active contours for multichannel image segmentation. ICIP 2011: 3141-3144 - [c17]Anca Ciurte, Nawal Houhou, Sergiu Nedevschi, Alessia Pica, Francis L. Munier, Jean-Philippe Thiran, Xavier Bresson, Meritxell Bach Cuadra:
An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features. ISBI 2011: 969-972 - [c16]Camille Couprie, Xavier Bresson, Laurent Najman, Hugues Talbot, Leo J. Grady:
Surface Reconstruction Using Power Watershed. ISMM 2011: 381-392 - 2010
- [j10]Tom Goldstein, Xavier Bresson, Stanley J. Osher:
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction. J. Sci. Comput. 45(1-3): 272-293 (2010) - [j9]Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher:
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. 3(3): 253-276 (2010) - [c15]Arthur Szlam, Xavier Bresson:
Total Variation, Cheeger Cuts. ICML 2010: 1039-1046 - [c14]Jian Ye, Todd Wittman, Xavier Bresson, Stanley J. Osher:
Segmentation for Hyperspectral Images with Priors. ISVC (2) 2010: 97-106
2000 – 2009
- 2009
- [j8]Kangyu Ni, Xavier Bresson, Tony F. Chan, Selim Esedoglu:
Local Histogram Based Segmentation Using the Wasserstein Distance. Int. J. Comput. Vis. 84(1): 97-111 (2009) - [c13]Miyoun Jung, Xavier Bresson, Tony F. Chan, Luminita A. Vese:
Color Image Restoration Using Nonlocal Mumford-Shah Regularizers. EMMCVPR 2009: 373-387 - [c12]Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F. Chan, Jean-Philippe Thiran:
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut. SSVM 2009: 112-123 - 2008
- [c11]Nawal Houhou, Jean-Philippe Thiran, Xavier Bresson:
Fast texture segmentation model based on the shape operator and active contour. CVPR 2008 - [c10]Valerie Duay, Xavier Bresson, F. Javier Sánchez Castro, Claudio Pollo, Meritxell Bach Cuadra, Jean-Philippe Thiran:
An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation. MICCAI (2) 2008: 980-988 - 2007
- [j7]Xavier Bresson, Selim Esedoglu, Pierre Vandergheynst, Jean-Philippe Thiran, Stanley J. Osher:
Fast Global Minimization of the Active Contour/Snake Model. J. Math. Imaging Vis. 28(2): 151-167 (2007) - [j6]Lisa Jonasson, Patric Hagmann, Claudio Pollo, Xavier Bresson, Cecilia Richero Wilson, Reto Meuli, Jean-Philippe Thiran:
A level set method for segmentation of the thalamus and its nuclei in DT-MRI. Signal Process. 87(2): 309-321 (2007) - [j5]Iva Bogdanova, Xavier Bresson, Jean-Philippe Thiran, Pierre Vandergheynst:
Scale Space Analysis and Active Contours for Omnidirectional Images. IEEE Trans. Image Process. 16(7): 1888-1901 (2007) - [j4]Lisa Jonasson, Xavier Bresson, Jean-Philippe Thiran, Van J. Wedeen, Patric Hagmann:
Representing Diffusion MRI in 5-D Simplifies Regularization and Segmentation of White Matter Tracts. IEEE Trans. Medical Imaging 26(11): 1547-1554 (2007) - [c9]Valerie Duay, Xavier Bresson, Nawal Houhou, Meritxell Bach Cuadra, Jean-Philippe Thiran:
Registration of multiple regions derived from the optical flow model and the active contour framework. EUSIPCO 2007: 282-286 - [c8]Xavier Bresson, Tony F. Chan:
Active Contours Based on Chambolle's Mean Curvature Motion. ICIP (1) 2007: 33-36 - 2006
- [j3]Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran:
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional. Int. J. Comput. Vis. 68(2): 145-162 (2006) - [j2]Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran:
Multiscale Active Contours. Int. J. Comput. Vis. 70(3): 197-211 (2006) - [c7]Valerie Duay, Meritxell Bach Cuadra, Xavier Bresson, Jean-Philippe Thiran:
Dense deformation field estimation for atlas registration using the active contour framework. EUSIPCO 2006: 1-5 - [c6]Xavier Bresson, Jean-Philippe Thiran:
Image Segmentation Model using Active Contour and Image Decomposition. ICIP 2006: 1657-1660 - 2005
- [j1]Lisa Jonasson, Xavier Bresson, Patric Hagmann, Olivier Cuisenaire, Reto Meuli, Jean-Philippe Thiran:
White matter fiber tract segmentation in DT-MRI using geometric flows. Medical Image Anal. 9(3): 223-236 (2005) - [c5]Lisa Jonasson, Patric Hagmann, Xavier Bresson, Jean-Philippe Thiran, Van J. Wedeen:
Representing Diffusion MRI in 5D for Segmentation of White Matter Tracts with a Level Set Method. IPMI 2005: 311-320 - [c4]Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran:
Multiscale Active Contours. Scale-Space 2005: 167-178 - 2003
- [c3]Lisa Jonasson, Patric Hagmann, Xavier Bresson, Reto Meuli, Olivier Cuisenaire, Jean-Philippe Thiran:
White Matter Mapping in DT-MRI Using Geometric Flows. EUROCAST 2003: 585-596 - [c2]Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran:
A priori information in image segmentation: energy functional based on shape statistical model and image information. ICIP (3) 2003: 425-428 - 2002
- [c1]Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran:
Geometric Moments in Scale-Spaces. ICPR (2) 2002: 418-421
Coauthor Index
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