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Quantitative MRI characterization of brain abnormalities in de novo Parkinsonian patients

 Verónica Muñoz Ramírez , Florence Forbes , Julyan Arbel , Alexis Arnaud , Michel Dojat
ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. pp.1-4, ⟨10.1109/ISBI.2019.8759544⟩
Communication dans un congrès hal-01970682v2
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Leveraging 3D information in unsupervised brain MRI segmentation

 Benjamin Lambert , Maxime Louis , Senan Doyle , Florence Forbes , Michel Dojat , et al.
ISBI 2021 - 18th International Symposium on Biomedical Imaging, Apr 2021, Nice / Virtual, France. pp.1-4
Communication dans un congrès hal-03273953v1
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Fast Bayesian Inversion for high dimensional inverse problems

 Benoit Kugler , Florence Forbes , Sylvain Douté
Statistics and Computing, 2022, 32 (31), ⟨10.1007/s11222-021-10019-5⟩
Article dans une revue hal-02908364v3
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Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification

 Benjamin Lambert , Pauline Roca , Florence Forbes , Senan Doyle , Michel Dojat
REMIA 2023 - 2nd Workshop on Resource-Efficient Medical Image Analysi, Oct 2023, Vancouver (BC), Canada. ⟨10.48550/arXiv.2308.11969⟩
Communication dans un congrès hal-04436251v1
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Bayesian nonparametric mixture of experts for high-dimensional inverse problems

 Trungtin Nguyen , Florence Forbes , Julyan Arbel , Hien Duy Nguyen
2023
Pré-publication, Document de travail hal-04015203v2
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Uncertainty-based Quality Control for Subcortical Structures Segmentation in T1-weighted Brain MRI

 Benjamin Lambert , Florence Forbes , Senan Doyle , Alan Tucholka , Michel Dojat
ISMRM 2023 - International Society for Magnetic Resonance in Medicine, Jun 2023, Toronto, Canada. pp.1-4
Communication dans un congrès hal-04126201v1

Simulation-based Bayesian inference for high dimensional inverse problems

 Florence Forbes
CIRM Research school on End-to-end Bayesian Learning Methods, Oct 2021, Luminy, France
Communication dans un congrès hal-03874016v1
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A Pre-Screening Approach for Faster Bayesian Network Structure Learning

 Thibaud Rahier , Sylvain Marié , Florence Forbes
ECML-PKDD 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2022, Grenoble, France. pp.1-16
Communication dans un congrès hal-03873684v2
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Bayesian nonparametric spatial prior for traffic crash risk mapping: a case study of Victoria, Australia

 Jean-Baptiste Durand , Florence Forbes , Cong Duc Phan , Long Truong , Hien D Nguyen , et al.
Australian and New Zealand Journal of Statistics, 2022, Special Issue: Geoff McLachlan Festschrift, 64 (2), pp.171-204. ⟨10.1111/anzs.12369⟩
Article dans une revue hal-03138803v2
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Unsupervised scalable anomaly detection: application to medical imaging

 Geoffroy Oudoumanessah , Michel Dojat , Florence Forbes
[Research Report] Inria Grenoble - Rhône-Alpes; Grenoble Institut des neurosciences. 2022, pp.1-43
Rapport hal-03824951v1
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Multivariate Multi-scaled Student Distributions : brain tumor characterization from multiparametric MRI

 Alexis Arnaud , Florence Forbes , Benjamin Lemasson , Emmanuel Barbier
Statistique Mathématique et Applications 2015, Aug 2015, Fréjus, France
Communication dans un congrès hal-01253595v1

Planet-GLLiM: software for scalable Bayesian analysis of multidimensional data in astrophysics

 Stan Borkowski , Sylvain Douté , Florence Forbes , Samuel Heidmann
Journées de l'Action Spécifique Numérique Astrophysique (ASNUM 2022), Dec 2022, Lyon, France
Communication dans un congrès hal-03883020v1
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Finding Audio-Visual Events in Informal Social Gatherings

 Xavier Alameda-Pineda , Vasil Khalidov , Radu Horaud , Florence Forbes
ACM/IEEE International Conference on Multimodal Interaction, Nov 2011, Alicante, Spain. pp.247-254, ⟨10.1145/2070481.2070527⟩
Communication dans un congrès inria-00623489v2

Bayesian Nonparametric Priors for Graph Structured Data: Application to Image Segmentation

 Hongliang Lu , Florence Forbes , Julyan Arbel
Bayes Comp 2020, Jan 2020, Gainesville, United States
Poster de conférence hal-02423642v1
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PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function

 Jaime Arias , Philippe Ciuciu , Michel Dojat , Florence Forbes , Aina Frau-Pascual , et al.
16th Python in Science Conference (SciPy 2017), Jul 2017, Austin, TX, United States. pp.34-40, ⟨10.25080/shinma-7f4c6e7-006⟩
Communication dans un congrès hal-01566457v1
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Towards frugal unsupervised detection of subtle abnormalities in medical imaging

 Geoffroy Oudoumanessah , Carole Lartizien , Michel Dojat , Florence Forbes
26th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2023, Vancouver (BC), Canada. pp.1-13
Communication dans un congrès hal-04192108v1

Model Selection for Hemodynamic Brain Parcellation in fMRI

 Mohanad Albughdadi , Lotfi Chaari , Florence Forbes , Jean-Yves Tourneret , Philippe Ciuciu
EUSIPCO - 22nd European Signal Processing Conference, Sep 2014, Lisbon, Portugal. pp.31 - 35
Communication dans un congrès hal-01107475v1

High dimensional regression with Gaussian mixtures and partially latent response variables: Application to hyper-­spectral image analysis

 Florence Forbes , Antoine Deleforge , Radu Horaud
Rencontre d'Astrostatistique, Nov 2014, Grenoble, France
Communication dans un congrès hal-01107616v1

Sélection de variables dans un cadre Bayésien de traitement de données d'IRM fonctionnelle

 Christine Bakhous , Florence Forbes , Thomas Vincent , Lotfi Chaari , Michel Dojat , et al.
44e Journées de Statistique, Société Française de Statistique, May 2012, Bruxelles, Belgique
Communication dans un congrès hal-00780088v1
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A Joint Bayesian Framework for MR Brain Scan Tissue and Structure Segmentation Based on Distributed Markovian Agents

 Benoît Scherrer , Florence Forbes , Catherine Garbay , Michel Dojat
Isabelle Bichindaritz, Sachin Vaidya, Ashlesha Jain, and Lakhmi C. Jain. Computational Intelligence in Healthcare 4, Springer, pp.81-101, 2010, Studies in Computational Intelligence, ⟨10.1007/978-3-642-14464-6_5⟩
Chapitre d'ouvrage istex inserm-00659300v1
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Probabilistic model definition for physiological state monitoring

 Laure Amate , Florence Forbes , Julie Fontecave-Jallon , Benoît Vettier , Catherine Garbay
SSP 2011 - Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.457-460, ⟨10.1109/SSP.2011.5967730⟩
Communication dans un congrès hal-00742161v1

Gene clustering via integrated Markov models combining individual and pairwise features.

 Matthieu Vignes , Florence Forbes
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2009, 6 (2), pp.260-270. ⟨10.1109/TCBB.2007.70248⟩
Article dans une revue hal-00781174v1

New trends in Markov models and related learning to restore data

 Florence Forbes , Wojciech Pieczynski
MLSP 2009 - IEEE International Workshop on Machine Learning for Signal Processing, Sep 2009, Grenoble, France. pp.1-6, ⟨10.1109/MLSP.2009.5306255⟩
Communication dans un congrès hal-00781201v1
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A Component-Wise EM Algorithm for Mixtures

 Gilles Celeux , Stéphane Chrétien , Florence Forbes , Abdallah Mkhadri
[Research Report] RR-3746, INRIA. 1999
Rapport inria-00072916v1
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Deviance Information Criteria for Missing Data Models

 Gilles Celeux , Florence Forbes , Christian P. Robert , Mike Titterington
[Research Report] RR-4859, INRIA. 2003
Rapport inria-00071724v1
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Audio-Visual Clustering for Multiple Speaker Localization

 Vasil Khalidov , Florence Forbes , Miles Hansard , Élise Arnaud , Radu Horaud
MLMI 2008 - International Workshop on Machine Learning for Multimodal Interaction, Sep 2008, Utrecht, Netherlands. pp.86-97, ⟨10.1007/978-3-540-85853-9_8⟩
Communication dans un congrès inria-00373154v1
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Cooperative disparity and object boundary estimation

 Ramya Narasimha , Élise Arnaud , Florence Forbes , Radu Horaud
ICIP 2008 - 15th IEEE International Conference on Image Processing, Oct 2008, San Diego, United States. pp.1784-1787, ⟨10.1109/ICIP.2008.4712122⟩
Communication dans un congrès inria-00306582v1
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Monitoring glioma heterogeneity during tumor growth using clustering analysis of multiparametric MRI data

 Benjamin Lemasson , Nora Collomb , Alexis Arnaud , Emmanuel Luc Barbier , Florence Forbes
ISMRM International Society for Magnetic Resonance in Medicine, Apr 2017, Honolulu, United States
Communication dans un congrès hal-01652033v1
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Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach

 Lotfi Chaari , Thomas Vincent , Florence Forbes , Michel Dojat , Philippe Ciuciu
IEEE Transactions on Medical Imaging, 2013, 32 (5), pp.821-837. ⟨10.1109/TMI.2012.2225636⟩
Article dans une revue inserm-00753873v1
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Approche variationnelle pour la cartographie spatio-temporelle du risque en épidémiologie à l'aide de champs de Markov cachés

 David Abrial , Myriam Garrido , Florence Forbes
42èmes Journées de Statistique, Société Française de Statistique, May 2010, Marseille, France
Communication dans un congrès inria-00494748v2
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