Florence Forbes
Orcid: 0000-0003-3639-0226
According to our database1,
Florence Forbes
authored at least 104 papers
between 1996 and 2024.
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Bibliography
2024
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings.
CoRR, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors.
Stat. Comput., 2022
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation.
CoRR, 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis.
CoRR, 2022
Subtle anomaly detection: Application to brain MRI analysis of <i>de novo</i> Parkinsonian patients.
Artif. Intell. Medicine, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022
2021
IEEE Trans. Medical Imaging, 2021
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models.
CoRR, 2021
A non-asymptotic penalization criterion for model selection in mixture of experts models.
CoRR, 2021
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Unannounced Meal Detection for Artificial Pancreas Systems Using Extended Isolation Forest.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model.
Neurocomputing, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Structure Learning via Hadamard Product of Correlation and Partial Correlation Matrices.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Fully Automatic Lesion Localization and Characterization: Application to Brain Tumors Using Multiparametric Quantitative MRI Data.
IEEE Trans. Medical Imaging, 2018
J. Multivar. Anal., 2018
2017
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation.
Signal Process., 2017
PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function.
Proceedings of the 16th Python in Science Conference 2017, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
2016
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016
A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data.
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Rectified binaural ratio: A complex T-distributed feature for robust sound localization.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
IEEE Trans. Medical Imaging, 2015
High-dimensional regression with gaussian mixtures and partially-latent response variables.
Stat. Comput., 2015
J. Multivar. Anal., 2015
Hyper-Spectral Image Analysis With Partially Latent Regression and Spatial Markov Dependencies.
IEEE J. Sel. Top. Signal Process., 2015
Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds.
Int. J. Neural Syst., 2015
Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering.
Comput. Stat. Data Anal., 2015
Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
2014
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering.
Stat. Comput., 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014
2013
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach.
IEEE Trans. Medical Imaging, 2013
Int. J. Appl. Earth Obs. Geoinformation, 2013
Proceedings of the 15th IEEE International Workshop on Multimedia Signal Processing, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Variational variable selection to assess experimental condition relevance in event-related fMRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
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.
J. Signal Process. Syst., 2011
IEEE Trans. Pattern Anal. Mach. Intell., 2011
SpaCEM<sup>3</sup>: a software for biological module detection when data is incomplete, high dimensional and dependent.
Bioinform., 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 13th International Conference on Multimodal Interfaces, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the International Conference on Image Processing, 2010
Models and inference for structured stochastic systems. (Modèles et inférence pour des systèmes stochastiques structurés).
, 2010
2009
IEEE Trans. Medical Imaging, 2009
Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009
Monde des Util. Anal. Données, 2009
Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans.
Artif. Intell. Medicine, 2009
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data.
Proceedings of the Eleventh International Joint Conference on Measurement and Modeling of Computer Systems, 2009
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
IEEE Trans. Pattern Anal. Mach. Intell., 2008
Proceedings of the Machine Learning for Multimodal Interaction, 5th International Workshop, 2008
Proceedings of the 10th International Conference on Multimodal Interfaces, 2008
The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements.
Proceedings of the 10th International Conference on Multimodal Interfaces, 2008
Proceedings of the International Conference on Image Processing, 2008
2007
Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields.
IEEE Trans. Image Process., 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Artificial Intelligence in Medicine, 2007
2006
Proceedings of the Computer Vision, 2006
2005
Modèles markoviens pour l'organisation spatiale de descripteurs d'images.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005
Markov Random Fields for Textures Recognition with Local Invariant Regions and their Geometric Relationships.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005
2003
EM procedures using mean field-like approximations for Markov model-based image segmentation.
Pattern Recognit., 2003
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations.
IEEE Trans. Pattern Anal. Mach. Intell., 2003
1998
1996
PhD thesis, 1996