Xavier Bresson

114 papers A* 13B 3C 2Misc 2Journal 68Unranked 26
YearRankTypeTitle / Venue / Authors
2025 A* conf
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition.
ICML
Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
2025 J jnl
AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions.
CoRR
Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price, Victor Posligua, Stephan Roche, O. Anatole von Lilienfeld, Konstantin S. Novoselov, Xavier Bresson, Gianmarco Mengaldo, Xudong Chen, Terence J. O'Kane, Emily R. Lines, Matthew J. Allen, Amandine E. Debus, Clayton Miller, Jiayu Zhou, Hiroko H. Dodge, David Rousseau, Andrey Ustyuzhanin, Ziyun Yan, Mario Lanza, Fabio Sciarrino, Ryo Yoshida, Zhidong Leong, Teck Leong Tan, Qianxiao Li, Adil Kabylda, Igor Poltavsky, Alexandre Tkatchenko, Sherif Abdulkader Tawfik, Prathami Divakar Kamath, Théo Jaffrelot Inizan, Kristin A. Persson, Bryant Y. Li, Vir Karan, Chenru Duan, Haojun Jia, Qiyuan Zhao, Hiroyuki Hayashi, Atsuto Seko, Isao Tanaka, Omar M. Yaghi, Tim Gould, Bun Chan, Stefan Vuckovic, Tianbo Li, Min Lin, Zehcen Tang, Yang Li, Yong Xu, Amrita Joshi, Xiaonan Wang, Leonard W. T. Ng, Sergei V. Kalinin, Mahshid Ahmadi, Jiyizhe Zhang, Shuyuan Zhang, Alexei A. Lapkin, Ming Xiao, Zhe Wu, Kedar Hippalgaonkar, Limsoon Wong, Lorenzo Bastonero, Nicola Marzari, Dorye Luis Esteras Cordoba, Andrei Tomut, Alba Quinones Andrade, Jose-Hugo Garcia
2025 J jnl
Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation.
CoRR
Mufei Li, Dongqi Fu, Limei Wang, Si Zhang, Hanqing Zeng, Kaan Sancak, Ruizhong Qiu, Haoyu Wang, Xiaoxin He, Xavier Bresson, Yinglong Xia, Chonglin Sun, Pan Li
2025 A* conf
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications.
AAAI
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
2024 J jnl
Advancing Graph Convolutional Networks via General Spectral Wavelets.
CoRR
Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
2024 A* conf
Feature Collapse.
ICLR
Thomas Laurent, James von Brecht, Xavier Bresson
2024 A* conf
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.
NeurIPS
Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024 J jnl
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.
CoRR
Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024 A* conf
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.
ICLR
Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
2024 A* conf
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.
ICML
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
2024 J jnl
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.
CoRR
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
2024 — conf
The 1st International Workshop on Graph Foundation Models (GFM).
WWW (Companion Volume)
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
2024 J jnl
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification.
CoRR
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
2023 A* conf
A Generalization of ViT/MLP-Mixer to Graphs.
ICML
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2023 J jnl
Benchmarking Graph Neural Networks.
J. Mach. Learn. Res.
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2023 J jnl
Explanations as Features: LLM-Based Features for Text-Attributed Graphs.
CoRR
Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
2023 J jnl
Feature Collapse.
CoRR
Thomas Laurent, James H. von Brecht, Xavier Bresson
2023 J jnl
Graph Transformers for Large Graphs.
CoRR
Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
2023 A* conf
Long-Tailed Learning Requires Feature Learning.
ICLR
Thomas Laurent, James von Brecht, Xavier Bresson
2023 — conf
Reconstruction of short genomic sequences with graph convolutional networks.
MIPRO
Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic
2022 J jnl
A Generalization of ViT/MLP-Mixer to Graphs.
CoRR
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2022 J jnl
A Model of One-Shot Generalization.
CoRR
Thomas Laurent, James H. von Brecht, Xavier Bresson
2022 J jnl
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem.
CoRR
Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim
2022 A* conf
Graph Neural Networks with Learnable Structural and Positional Representations.
ICLR
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2022 J jnl
Learning to Untangle Genome Assembly with Graph Convolutional Networks.
CoRR
Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic
2022 J jnl
Multigraph Transformer for Free-Hand Sketch Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Peng Xu, Chaitanya K. Joshi, Xavier Bresson
2022 J jnl
Semantic Role Aware Correlation Transformer for Text to Video Retrieval.
CoRR
Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim
2021 J jnl
Graph Neural Networks with Learnable Structural and Positional Representations.
CoRR
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2021 B conf
Semantic Role Aware Correlation Transformer For Text To Video Retrieval.
ICIP
Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim
2021 J jnl
The Transformer Network for the Traveling Salesman Problem.
CoRR
Xavier Bresson, Thomas Laurent
2020 J jnl
A Generalization of Transformer Networks to Graphs.
CoRR
Vijay Prakash Dwivedi, Xavier Bresson
2020 J jnl
An Experimental Study of the Transferability of Spectral Graph Networks.
CoRR
Axel Nilsson, Xavier Bresson
2020 J jnl
Benchmarking Graph Neural Networks.
CoRR
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2020 J jnl
Learning TSP Requires Rethinking Generalization.
CoRR
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson
2019 J jnl
A Two-Step Graph Convolutional Decoder for Molecule Generation.
CoRR
Xavier Bresson, Thomas Laurent
2019 J jnl
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.
CoRR
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
2019 J jnl
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters.
IEEE Trans. Signal Process.
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
2019 J jnl
GraphTSNE: A Visualization Technique for Graph-Structured Data.
CoRR
Yao Yang Leow, Thomas Laurent, Xavier Bresson
2019 J jnl
Multi-Graph Transformer for Free-Hand Sketch Recognition.
CoRR
Peng Xu, Chaitanya K. Joshi, Xavier Bresson
2019 J jnl
On Learning Paradigms for the Travelling Salesman Problem.
CoRR
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
2018 C conf
An Experimental Comparison of Text Classification Techniques.
CW
Suyash Lakhotia, Xavier Bresson
2018 — conf
An Experimental Study of Neural Networks for Variable Graphs.
ICLR (Workshop)
Xavier Bresson, Thomas Laurent
2018 Misc conf
Deep Geometric Matrix Completion: A New Way for Recommender Systems.
ICASSP
Federico Monti, Michael M. Bronstein, Xavier Bresson
2018 — conf
Structured Sequence Modeling with Graph Convolutional Recurrent Networks.
ICONIP (1)
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
2017 J jnl
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters.
CoRR
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
2017 — conf
FMA: A Dataset for Music Analysis.
ISMIR
Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson
2017 — conf
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks.
NIPS
Federico Monti, Michael M. Bronstein, Xavier Bresson
2017 J jnl
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks.
CoRR
Federico Monti, Michael M. Bronstein, Xavier Bresson
2017 J jnl
Residual Gated Graph ConvNets.
CoRR
Xavier Bresson, Thomas Laurent
2017 J jnl
Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems.
NeuroImage
Alessandra Griffa, Benjamin Ricaud, Kirell Benzi, Xavier Bresson, Alessandro Daducci, Pierre Vandergheynst, Jean-Philippe Thiran, Patric Hagmann
2016 J jnl
Consistency of Cheeger and Ratio Graph Cuts.
J. Mach. Learn. Res.
Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
2016 — conf
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering.
NIPS
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
2016 J jnl
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering.
CoRR
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
2016 J jnl
FMA: A Dataset For Music Analysis.
CoRR
Kirell Benzi, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
2016 J jnl
Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation.
CoRR
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst
2016 Misc conf
Song recommendation with non-negative matrix factorization and graph total variation.
ICASSP
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst
2016 J jnl
Source Localization on Graphs via l1 Recovery and Spectral Graph Theory.
CoRR
Rodrigo C. G. Pena, Xavier Bresson, Pierre Vandergheynst
2016 — conf
Source localization on graphs via ℓ1 recovery and spectral graph theory.
IVMSP
Rodrigo C. G. Pena, Xavier Bresson, Pierre Vandergheynst
2016 J jnl
Structured Sequence Modeling with Graph Convolutional Recurrent Networks.
CoRR
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
2016 — conf
The Product Cut.
NIPS
Thomas Laurent, James H. von Brecht, Xavier Bresson, Arthur Szlam
2015 J jnl
Adaptive Regularization With the Structure Tensor.
IEEE Trans. Image Process.
Virginia Estellers, Stefano Soatto, Xavier Bresson
2015 J jnl
An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization.
NeuroImage
Sébastien Tourbier, Xavier Bresson, Patric Hagmann, Jean-Philippe Thiran, Reto Meuli, Meritxell Bach Cuadra
2015 J jnl
Enhanced Lasso Recovery on Graph.
CoRR
Xavier Bresson, Thomas Laurent, James H. von Brecht
2015 — conf
Enhanced lasso recovery on graph.
EUSIPCO
Xavier Bresson, Thomas Laurent, James H. von Brecht
2015 A* conf
Functional correspondence by matrix completion.
CVPR
Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst
2015 A* conf
Robust Principal Component Analysis on Graphs.
ICCV
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
2015 J jnl
Robust Principal Component Analysis on Graphs.
CoRR
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
2014 J jnl
An Incremental Reseeding Strategy for Clustering.
CoRR
Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James H. von Brecht
2014 J jnl
Consistency of Cheeger and Ratio Graph Cuts.
CoRR
Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
2014 — conf
Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction.
MICCAI (2)
Sébastien Tourbier, Xavier Bresson, Patric Hagmann, Jean-Philippe Thiran, Reto Meuli, Meritxell Bach Cuadra
2014 J jnl
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge.
IEEE Trans. Medical Imaging
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
2014 J jnl
Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches.
IEEE Trans. Image Process.
Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran
2014 J jnl
Harmonic Active Contours.
IEEE Trans. Image Process.
Virginia Estellers, Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran
2014 J jnl
Matrix Completion on Graphs.
CoRR
Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
2014 J jnl
Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model.
J. Math. Imaging Vis.
Xavier Bresson, Xue-Cheng Tai, Tony F. Chan, Arthur Szlam
2013 J jnl
Enhanced Compressed Sensing Recovery With Level Set Normals.
IEEE Trans. Image Process.
Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson
2013 — conf
Multiclass Total Variation Clustering.
NIPS
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
2013 J jnl
Multiclass Total Variation Clustering.
CoRR
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
2012 J jnl
Completely Convex Formulation of the Chan-Vese Image Segmentation Model.
Int. J. Comput. Vis.
Ethan S. Brown, Tony F. Chan, Xavier Bresson
2012 — conf
Convergence and Energy Landscape for Cheeger Cut Clustering.
NIPS
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
2012 J jnl
Efficient Algorithm for Level Set Method Preserving Distance Function.
IEEE Trans. Image Process.
Virginia Estellers, Dominique Zosso, Rongjie Lai, Stanley J. Osher, Jean-Philippe Thiran, Xavier Bresson
2012 J jnl
Enhanced Compressed Sensing Recovery with Level Set Normals
CoRR
Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson
2012 J jnl
TV-SVM: Total Variation Support Vector Machine for Semi-Supervised Data Classification
CoRR
Xavier Bresson, Ruiliang Zhang
2011 J jnl
Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework.
Medical Image Anal.
Subrahmanyam Gorthi, Valerie Duay, Xavier Bresson, Meritxell Bach Cuadra, Francisco Javier Sánchez Castro, Claudio Pollo, Abdelkarim Allal, Jean-Philippe Thiran
2011 — conf
An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features.
ISBI
Anca Ciurte, Nawal Houhou, Sergiu Nedevschi, Alessia Pica, Francis L. Munier, Jean-Philippe Thiran, Xavier Bresson, Meritxell Bach Cuadra
2011 J jnl
Geodesic Active Fields - A Geometric Framework for Image Registration.
IEEE Trans. Image Process.
Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran
2011 B conf
Harmonic active contours for multichannel image segmentation.
ICIP
Virginia Estellers, Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran
2011 J jnl
Nonlocal Mumford-Shah Regularizers for Color Image Restoration.
IEEE Trans. Image Process.
Miyoun Jung, Xavier Bresson, Tony F. Chan, Luminita A. Vese
2011 C conf
Surface Reconstruction Using Power Watershed.
ISMM
Camille Couprie, Xavier Bresson, Laurent Najman, Hugues Talbot, Leo J. Grady
2010 J jnl
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction.
SIAM J. Imaging Sci.
Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher
2010 J jnl
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction.
J. Sci. Comput.
Tom Goldstein, Xavier Bresson, Stanley J. Osher
2010 — conf
Segmentation for Hyperspectral Images with Priors.
ISVC (2)
Jian Ye, Todd Wittman, Xavier Bresson, Stanley J. Osher
2010 A* conf
Total Variation, Cheeger Cuts.
ICML
Arthur Szlam, Xavier Bresson
2009 — conf
Color Image Restoration Using Nonlocal Mumford-Shah Regularizers.
EMMCVPR
Miyoun Jung, Xavier Bresson, Tony F. Chan, Luminita A. Vese
2009 J jnl
Local Histogram Based Segmentation Using the Wasserstein Distance.
Int. J. Comput. Vis.
Kangyu Ni, Xavier Bresson, Tony F. Chan, Selim Esedoglu
2009 — conf
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut.
SSVM
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F. Chan, Jean-Philippe Thiran
2008 — conf
An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation.
MICCAI (2)
Valerie Duay, Xavier Bresson, Francisco Javier Sánchez Castro, Claudio Pollo, Meritxell Bach Cuadra, Jean-Philippe Thiran
2008 A* conf
Fast texture segmentation model based on the shape operator and active contour.
CVPR
Nawal Houhou, Jean-Philippe Thiran, Xavier Bresson
2007 J jnl
A level set method for segmentation of the thalamus and its nuclei in DT-MRI.
Signal Process.
Lisa Jonasson, Patric Hagmann, Claudio Pollo, Xavier Bresson, Cecilia Richero Wilson, Reto Meuli, Jean-Philippe Thiran
2007 — conf
Active Contours Based on Chambolle's Mean Curvature Motion.
ICIP (1)
Xavier Bresson, Tony F. Chan
2007 J jnl
Fast Global Minimization of the Active Contour/Snake Model.
J. Math. Imaging Vis.
Xavier Bresson, Selim Esedoglu, Pierre Vandergheynst, Jean-Philippe Thiran, Stanley J. Osher
2007 — conf
Registration of multiple regions derived from the optical flow model and the active contour framework.
EUSIPCO
Valerie Duay, Xavier Bresson, Nawal Houhou, Meritxell Bach Cuadra, Jean-Philippe Thiran
2007 J jnl
Representing Diffusion MRI in 5-D Simplifies Regularization and Segmentation of White Matter Tracts.
IEEE Trans. Medical Imaging
Lisa Jonasson, Xavier Bresson, Jean-Philippe Thiran, Van J. Wedeen, Patric Hagmann
2007 J jnl
Scale Space Analysis and Active Contours for Omnidirectional Images.
IEEE Trans. Image Process.
Iva Bogdanova, Xavier Bresson, Jean-Philippe Thiran, Pierre Vandergheynst
2006 J jnl
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional.
Int. J. Comput. Vis.
Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran
2006 — conf
Dense deformation field estimation for atlas registration using the active contour framework.
EUSIPCO
Valerie Duay, Meritxell Bach Cuadra, Xavier Bresson, Jean-Philippe Thiran
2006 B conf
Image Segmentation Model using Active Contour and Image Decomposition.
ICIP
Xavier Bresson, Jean-Philippe Thiran
2006 J jnl
Multiscale Active Contours.
Int. J. Comput. Vis.
Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran
2005 — conf
Multiscale Active Contours.
Scale-Space
Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran
2005 — conf
Representing Diffusion MRI in 5D for Segmentation of White Matter Tracts with a Level Set Method.
IPMI
Lisa Jonasson, Patric Hagmann, Xavier Bresson, Jean-Philippe Thiran, Van J. Wedeen
2005 J jnl
White matter fiber tract segmentation in DT-MRI using geometric flows.
Medical Image Anal.
Lisa Jonasson, Xavier Bresson, Patric Hagmann, Olivier Cuisenaire, Reto Meuli, Jean-Philippe Thiran
2003 — conf
A priori information in image segmentation: energy functional based on shape statistical model and image information.
ICIP (3)
Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran
2003 — conf
White Matter Mapping in DT-MRI Using Geometric Flows.
EUROCAST
Lisa Jonasson, Patric Hagmann, Xavier Bresson, Reto Meuli, Olivier Cuisenaire, Jean-Philippe Thiran
2002 — conf
Geometric Moments in Scale-Spaces.
ICPR (2)
Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran