Modèles markoviens de ressources partagées. (Markovian models for resource sharing). - Florence Forbes (1996)

Counting stable sets on Cartesian products of graphs. - Florence Forbes; Bernard Ycart (Discret. Math., 1998)

Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations. - Florence Forbes; Nathalie Peyrard (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

EM procedures using mean field-like approximations for Markov model-based image segmentation. - Gilles Celeux; Florence Forbes; Nathalie Peyrard (Pattern Recognit., 2003)

Markov Random Fields for Textures Recognition with Local Invariant Regions and their Geometric Relationships. - Juliette Blanchet; Florence Forbes; Cordelia Schmid (BMVC, 2005)

Modèles markoviens pour l'organisation spatiale de descripteurs d'images. - Juliette Blanchet; Florence Forbes; Cordelia Schmid (CAP, 2005)

The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces. - Guillaume Dewaele; Frederic Devernay; Radu Horaud; Florence Forbes (ECCV (3), 2006)

MRF Agent Based Segmentation: Application to MRI Brain Scans. - Benoit Scherrer; Michel Dojat; Florence Forbes; Catherine Garbay (AIME, 2007)

LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans. - Benoit Scherrer; Michel Dojat; Florence Forbes; Catherine Garbay (MICCAI (1), 2007)

Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields. - Florence Forbes; Gersende Fort (IEEE Trans. Image Process., 2007)

Cooperative disparity and object boundary estimation. - Ramya Narasimha; Elise Arnaud; Florence Forbes; Radu Horaud (ICIP, 2008)

The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements. - Elise Arnaud; Heidi Christensen; Yan-Chen Lu; Jon Barker; Vasil Khalidov; Miles E. Hansard; Bertrand Holveck; Hervé Mathieu; Ramya Narasimha; Elise Taillant; Florence Forbes; Radu Horaud (ICMI, 2008)

Detection and localization of 3d audio-visual objects using unsupervised clustering. - Vasil Khalidov; Florence Forbes; Miles E. Hansard; Elise Arnaud; Radu Horaud (ICMI, 2008)

Audio-Visual Clustering for 3D Speaker Localization. - Vasil Khalidov; Florence Forbes; Miles E. Hansard; Elise Arnaud; Radu Horaud (MLMI, 2008)

Triplet Markov Fields for the Classification of Complex Structure Data. - Juliette Blanchet; Florence Forbes (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation. - Benoit Scherrer; Florence Forbes; Michel Dojat (MICCAI (1), 2009)

Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. - Patrick Loiseau; Paulo Gonçalves 001; Stéphane Girard; Florence Forbes; Pascale Vicat-Blanc Primet (SIGMETRICS/Performance, 2009)

Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans. - Benoit Scherrer; Michel Dojat; Florence Forbes; Catherine Garbay (Artif. Intell. Medicine, 2009)

Le logiciel SpaCEM3 pour la classification de données complexes. - Juliette Blanchet; Florence Forbes; Sophie Chopart; Lamiae Azizi (Monde des Util. Anal. Données, 2009)

Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features. - Matthieu Vignes; Florence Forbes (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Distributed Local MRF Models for Tissue and Structure Brain Segmentation. - Benoit Scherrer; Florence Forbes; Catherine Garbay; Michel Dojat (IEEE Trans. Medical Imaging, 2009)

Models and inference for structured stochastic systems. (Modèles et inférence pour des systèmes stochastiques structurés). - Florence Forbes (2010)

Disparity and normal estimation through alternating maximization. - Ramya Narasimha; Elise Arnaud; Florence Forbes; Radu Horaud (ICIP, 2010)

Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. - Florence Forbes; Senan Doyle; Daniel García-Lorenzo; Christian Barillot; Michel Dojat (ISBI, 2010)

A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. - Florence Forbes; Senan Doyle; Daniel García-Lorenzo; Christian Barillot; Michel Dojat (AISTATS, 2010)

Harmony search with differential mutation based pitch adjustment. - A. Kai Qin; Florence Forbes (GECCO, 2011)

Dynamic regional harmony search with opposition and local learning. - A. Kai Qin; Florence Forbes (GECCO (Companion), 2011)

Finding audio-visual events in informal social gatherings. - Xavier Alameda-Pineda; Vasil Khalidov; Radu Horaud; Florence Forbes (ICMI, 2011)

Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. - Lotfi Chaâri; Florence Forbes; Thomas Vincent; Michel Dojat; Philippe Ciuciu (MICCAI (2), 2011)

SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependent. - Matthieu Vignes; Juliette Blanchet; Damien Leroux; Florence Forbes (Bioinform., 2011)

Conjugate Mixture Models for Clustering Multimodal Data. - Vasil Khalidov; Florence Forbes; Radu Horaud (Neural Comput., 2011)

Rigid and Articulated Point Registration with Expectation Conditional Maximization. - Radu Horaud; Florence Forbes; Manuel Yguel; Guillaume Dewaele; Jian Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Min-max Extrapolation Scheme for Fast Estimation of 3D Potts Field Partition Functions. Application to the Joint Detection-Estimation of Brain Activity in fMRI. - Laurent Risser; Thomas Vincent; Florence Forbes; Jérôme Idier; Philippe Ciuciu (J. Signal Process. Syst., 2011)

An improved CUDA-based implementation of differential evolution on GPU. - A. Kai Qin; Federico Raimondo; Florence Forbes; Yew-Soon Ong (GECCO, 2012)

Robust voxel-wise joint detection estimation of brain activity in fMRI. - Lotfi Chaâri; Florence Forbes; Thomas Vincent; Philippe Ciuciu (ICIP, 2012)

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. - Lotfi Chaâri; Florence Forbes; Thomas Vincent; Philippe Ciuciu (MICCAI (3), 2012)

Variational EM for binaural sound-source separation and localization. - Antoine Deleforge; Florence Forbes; Radu Horaud (ICASSP, 2013)

Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging. - Thomas Vincent; Florence Forbes; Philippe Ciuciu (ICASSP, 2013)

Variational variable selection to assess experimental condition relevance in event-related fMRI. - Christine Bakhous; Florence Forbes; Thomas Vincent; Michel Dojat; Philippe Ciuciu (ISBI, 2013)

Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data. - Thomas Vincent; Jan Warnking; Marjorie Villien; Alexandre Krainik; Philippe Ciuciu; Florence Forbes (MICCAI (2), 2013)

Alignment of binocular-binaural data using a moving audio-visual target. - Vasil Khalidov; Florence Forbes; Radu Horaud (MMSP, 2013)

On the difficulty to delimit disease risk hot spots. - M. Charras-Garrido; Lamiae Azizi; Florence Forbes; Senan Doyle; Nathalie Peyrard; D. Abrial (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Mapping Learning with Partially Latent Output. - Antoine Deleforge; Florence Forbes; Radu Horaud (CoRR, 2013)

Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. - Lotfi Chaâri; Thomas Vincent; Florence Forbes; Michel Dojat; Philippe Ciuciu (IEEE Trans. Medical Imaging, 2013)

Physiologically Informed Bayesian Analysis of ASL fMRI Data. - Aina Frau-Pascual; Thomas Vincent; Jennifer Sloboda; Philippe Ciuciu; Florence Forbes (BAMBI, 2014)

Model selection for hemodynamic brain parcellation in FMRI. - Mohanad Albughdadi; Lotfi Chaâri; Florence Forbes; Jean-Yves Tourneret; Philippe Ciuciu (EUSIPCO, 2014)

Hyper-spectral image analysis with partially-latent regression. - Antoine Deleforge; Florence Forbes; Radu Horaud (EUSIPCO, 2014)

Hemodynamically informed parcellation of cerebral FMRI data. - Aina Frau-Pascual; Thomas Vincent; Florence Forbes; Philippe Ciuciu (ICASSP, 2014)

Partial Volume Estimation in Brain MRI Revisited. - Alexis Roche; Florence Forbes (MICCAI (1), 2014)

Audio-visual speaker localization via weighted clustering. - Israel D. Gebru; Xavier Alameda-Pineda; Radu Horaud; Florence Forbes (MLSP, 2014)

A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering. - Florence Forbes; Darren Wraith (Stat. Comput., 2014)

Special session on trends & controversies in data science (TCDS). - Florence Forbes; Wray L. Buntine (DSAA, 2015)

Physiological models comparison for the analysis of ASL FMRI data. - Aina Frau-Pascual; Florence Forbes; Philippe Ciuciu (ISBI, 2015)

Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis. - Aina Frau-Pascual; Florence Forbes; Philippe Ciuciu (MICCAI (1), 2015)

Assessment of Tissue Injury in Severe Brain Trauma. - Christophe Maggia; Senan Doyle; Florence Forbes; Olivier Heck; Irène Troprès; Corentin Berthet; Yann Teyssier; Lionel Velly; Jean-François Payen; Michel Dojat (Brainles@MICCAI, 2015)

Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization. - Pablo Mesejo; Sandrine Saillet; Olivier David 001; Christian G. Bénar; Jan M. Warnking; Florence Forbes (MICCAI (2), 2015)

Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data. - Aina Frau-Pascual; Florence Forbes; Philippe Ciuciu (PRNI, 2015)

Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering. - Darren Wraith; Florence Forbes (Comput. Stat. Data Anal., 2015)

Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds. - Antoine Deleforge; Florence Forbes; Radu Horaud (Int. J. Neural Syst., 2015)

Hyper-Spectral Image Analysis With Partially Latent Regression and Spatial Markov Dependencies. - Antoine Deleforge; Florence Forbes; Sileye O. Ba; Radu Horaud (IEEE J. Sel. Top. Signal Process., 2015)

A class of multivariate copulas based on products of bivariate copulas. - Gildas Mazo; Stéphane Girard; Florence Forbes (J. Multivar. Anal., 2015)

High-dimensional regression with gaussian mixtures and partially-latent response variables. - Antoine Deleforge; Florence Forbes; Radu Horaud (Stat. Comput., 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - Bjoern H. Menze; András Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin S. Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth R. Gerstner; et al. (IEEE Trans. Medical Imaging, 2015)

Rectified binaural ratio: A complex T-distributed feature for robust sound localization. - Antoine Deleforge; Florence Forbes (EUSIPCO, 2016)

Multi-subject joint parcellation detection estimation in functional MRI. - Mohanad Albughdadi; Lotfi Chaâri; Florence Forbes; Jean-Yves Tourneret; Philippe Ciuciu (ISBI, 2016)

A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data. - Pablo Mesejo; Sandrine Saillet; Olivier David 001; Christian G. Bénar; Jan M. Warnking; Florence Forbes (IEEE J. Sel. Top. Signal Process., 2016)

EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. - Israel Dejene Gebru; Xavier Alameda-Pineda; Florence Forbes; Radu Horaud (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A flexible and tractable class of one-factor copulas. - Gildas Mazo; Stéphane Girard; Florence Forbes (Stat. Comput., 2016)

Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. - Senan Doyle; Florence Forbes; Assia Jaillard; Olivier Heck; Olivier Detante; Michel Dojat (BrainLes@MICCAI, 2017)

Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. - Christophe Maggia; Thomas Mistral; Senan Doyle; Florence Forbes; Alexandre Krainik; Damien Galanaud; Emmanuelle Schmitt; Stéphane Kremer; Irène Troprès; Emmanuel Luc Barbier; Jean-François Payen; Michel Dojat (BrainLes@MICCAI, 2017)

PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function. - Jaime Arias 001; Philippe Ciuciu; Michel Dojat; Florence Forbes; Aina Frau-Pascual; Thomas Perret; Jan M. Warnking (SciPy, 2017)

Student Sliced Inverse Regression. - Alessandro Chiancone; Florence Forbes; Stéphane Girard (Comput. Stat. Data Anal., 2017)

A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. - Mohanad Albughdadi; Lotfi Chaâri; Jean-Yves Tourneret; Florence Forbes; Philippe Ciuciu (Signal Process., 2017)

Inverse regression approach to robust nonlinear high-to-low dimensional mapping. - Émeline Perthame; Florence Forbes; Antoine Deleforge (J. Multivar. Anal., 2018)

Fully Automatic Lesion Localization and Characterization: Application to Brain Tumors Using Multiparametric Quantitative MRI Data. - Alexis Arnaud; Florence Forbes; Nicolas Coquery; Nora Collomb; Benjamin Lemasson; Emmanuel Luc Barbier (IEEE Trans. Medical Imaging, 2018)

Structure Learning via Hadamard Product of Correlation and Partial Correlation Matrices. - Karina Ashurbekova; Sophie Achard; Florence Forbes (EUSIPCO, 2019)

Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. - Verónica Muñoz Ramírez; Florence Forbes; Julyan Arbel; Alexis Arnaud; Michel Dojat (ISBI, 2019)

No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients. - Verónica Muñoz Ramírez; Florence Forbes; Pierrick Coupé; Michel Dojat (MedInfo, 2019)

Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. - Hien D. Nguyen 001; Faicel Chamroukhi; Florence Forbes (Neurocomputing, 2019)

Unannounced Meal Detection for Artificial Pancreas Systems Using Extended Isolation Forest. - Fei Zheng; Stéphane Bonnet; Emma Villeneuve; Maeva Doron; Aurore Lepecq; Florence Forbes (EMBC, 2020)

Deep Learning Models to Study the Early Stages of Parkinson's Disease. - Verónica Muñoz Ramírez; Virgilio Kmetzsch; Florence Forbes; Michel Dojat (ISBI, 2020)

Approximate Bayesian Computation Via the Energy Statistic. - Hien Duy Nguyen; Julyan Arbel; Hongliang Lü; Florence Forbes (IEEE Access, 2020)

Bayesian nonparametric priors for hidden Markov random fields. - Hongliang Lü; Julyan Arbel; Florence Forbes (Stat. Comput., 2020)

Mini-batch learning of exponential family finite mixture models. - Hien Duy Nguyen; Florence Forbes; Geoffrey J. McLachlan (Stat. Comput., 2020)

Leveraging 3d Information In Unsupervised Brain Mri Segmentation. - Benjamin Lambert; Maxime Louis; Senan Doyle; Florence Forbes; Michel Dojat; Alan Tucholka (ISBI, 2021)

Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. - Verónica Muñoz Ramírez; Nicolas Pinon; Florence Forbes; Carole Lartizien; Michel Dojat (MLCN@MICCAI, 2021)

A non-asymptotic penalization criterion for model selection in mixture of experts models. - TrungTin Nguyen; Hien Duy Nguyen; Faicel Chamroukhi; Florence Forbes (CoRR, 2021)

A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. - TrungTin Nguyen; Faicel Chamroukhi; Hien Duy Nguyen; Florence Forbes (CoRR, 2021)

Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting. - Fabien Boux; Florence Forbes; Julyan Arbel; Benjamin Lemasson; Emmanuel Luc Barbier (IEEE Trans. Medical Imaging, 2021)

Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. - Benjamin Lambert; Florence Forbes; Senan Doyle; Alan Tucholka; Michel Dojat (iMIMIC@MICCAI, 2022)

A Pre-screening Approach for Faster Bayesian Network Structure Learning. - Thibaud Rahier; Sylvain Marié; Florence Forbes (ECML/PKDD (5), 2022)

Subtle anomaly detection: Application to brain MRI analysis of de novo Parkinsonian patients. - Verónica Muñoz Ramírez; Virgilio Kmetzsch; Florence Forbes; Sara Meoni; Elena Moro; Michel Dojat (Artif. Intell. Medicine, 2022)

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. - Benjamin Lambert; Florence Forbes; Alan Tucholka; Senan Doyle; Harmonie Dehaene; Michel Dojat (CoRR, 2022)

Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. - Benjamin Lambert; Florence Forbes; Senan Doyle; Alan Tucholka; Michel Dojat (CoRR, 2022)

Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. - Florence Forbes; Hien Duy Nguyen; TrungTin Nguyen; Julyan Arbel (Stat. Comput., 2022)

Fast Bayesian inversion for high dimensional inverse problems. - Benoit Kugler; Florence Forbes; Sylvain Douté (Stat. Comput., 2022)

Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients. - Nicolas Pinon; Geoffroy Oudoumanessah; Robin Trombetta; Michel Dojat; Florence Forbes; Carole Lartizien (ISBI, 2023)

TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (UNSURE@MICCAI, 2023)

Multi-layer Aggregation as a Key to Feature-Based OOD Detection. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (UNSURE@MICCAI, 2023)

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. - Benjamin Lambert; Pauline Roca; Florence Forbes; Senan Doyle; Michel Dojat (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. - Geoffroy Oudoumanessah; Carole Lartizien; Michel Dojat; Florence Forbes (MICCAI (3), 2023)

Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. - Yuchen Bai 002; Jean-Baptiste Durand; Grégoire Vincent; Florence Forbes (NeurIPS, 2023)

Normalizing Flows with Task-Specific Pre-Training for Unsupervised Anomaly Detection on Engineering Structures. - Brice Marc; Philippe Foucher; Florence Forbes; Pierre Charbonnier (EUSIPCO, 2024)

PASOA- PArticle baSed Bayesian Optimal Adaptive design. - Jacopo Iollo; Christophe Heinkelé; Pierre Alliez; Florence Forbes (ICML, 2024)

Bayesian Likelihood Free Inference using Mixtures of Experts. - Hien Duy Nguyen; TrungTin Nguyen; Florence Forbes (IJCNN, 2024)

Robust Conformal Volume Estimation in 3D Medical Images. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (MICCAI (10), 2024)

Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. - Benjamin Lambert; Florence Forbes; Senan Doyle; Harmonie Dehaene; Michel Dojat (Artif. Intell. Medicine, 2024)

Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach. - Henrique Donâncio; Antoine Barrier; Leah F. South; Florence Forbes (CoRR, 2024)

Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. - Henrik Häggström; Pedro L. C. Rodrigues; Geoffroy Oudoumanessah; Florence Forbes; Umberto Picchini (Trans. Mach. Learn. Res., 2024)

Bayesian Experimental Design Via Contrastive Diffusions. - Jacopo Iollo; Christophe Heinkelé; Pierre Alliez; Florence Forbes (ICLR, 2025)

Cluster Globally, Reduce Locally: Scalable Efficient Dictionary Compression for Magnetic Resonance Fingerprinting. - Geoffroy Oudoumanessah; Thomas Coudert; Luc Meyer; Aurélien Delphin; Thomas Christen; Michel Dojat; Carole Lartizien; Florence Forbes (ISBI, 2025)

Natural Variational Annealing for Multimodal Optimization. - Tâm Le Minh; Julyan Arbel; Thomas Möllenhoff; Mohammad Emtiyaz Khan; Florence Forbes (CoRR, 2025)

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design. - Jacopo Iollo; Geoffroy Oudoumanessah; Carole Lartizien; Michel Dojat; Florence Forbes (CoRR, 2025)