Florence Forbes

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 55

Top Venues

Joseph Fourier University, Grenoble, France (PHD)

Education History

Joseph Fourier University, Grenoble, France

PHD

Publications

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
Robust Conformal Volume Estimation in 3D Medical Images. CoRR (2024)
Benjamin Lambert, Florence Forbes, Senan Doyle, Harmonie Dehaene, Michel Dojat
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. Artif. Intell. Medicine 150 (2024)
Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. CoRR (2024)
Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Trans. Mach. Learn. Res. 2024 (2024)
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes
PASOA- PArticle baSed Bayesian Optimal Adaptive design. CoRR (2024)
Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI (2023)
Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
Multi-layer Aggregation as a key to feature-based OOD detection. CoRR (2023)
Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien
Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients. ISBI (2023)
Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) (2023)
Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien
Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients. CoRR (2023)
Yuchen Bai, Jean-Baptiste Durand, Grégoire Vincent, Florence Forbes
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. NeurIPS (2023)
Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
Towards frugal unsupervised detection of subtle abnormalities in medical imaging. CoRR (2023)
Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat
Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. UNSURE@MICCAI (2023)
Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. CoRR (2023)
Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. CoRR (2023)
Yuchen Bai, Jean-Baptiste Durand, Florence Forbes, Grégoire Vincent
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. CoRR (2023)
Benoit Kugler, Florence Forbes, Sylvain Douté
Fast Bayesian inversion for high dimensional inverse problems. Stat. Comput. 32 (2) (2022)
Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. CoRR (2022)
Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Sara Meoni, Elena Moro, Michel Dojat
Parkinsonian patients. Artif. Intell. Medicine 125 (2022)
Thibaud Rahier, Sylvain Marié, Florence Forbes
A Pre-screening Approach for Faster Bayesian Network Structure Learning. ECML/PKDD (5) (2022)
Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI (2022)
Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust. CoRR (2022)
Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. CoRR (2022)
Florence Forbes, Hien Duy Nguyen, TrungTin Nguyen, Julyan Arbel
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. Stat. Comput. 32 (5) (2022)
TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. CoRR (2021)
Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
Leveraging 3D Information in Unsupervised Brain MRI Segmentation. CoRR (2021)
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes
A non-asymptotic penalization criterion for model selection in mixture of experts models. CoRR (2021)
Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI (2021)
Fabien Boux, Florence Forbes, Julyan Arbel, Benjamin Lemasson, Emmanuel Luc Barbier
Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging 40 (7) (2021)
Verónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizen, Michel Dojat
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. MLCN@MICCAI (2021)
Hongliang Lü, Julyan Arbel, Florence Forbes
Bayesian nonparametric priors for hidden Markov random fields. Stat. Comput. 30 (4) (2020)
Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang
Rigid and Articulated Point Registration with Expectation Conditional Maximization. CoRR (2020)
Hien Duy Nguyen, Julyan Arbel, Hongliang Lü, Florence Forbes
Approximate Bayesian Computation Via the Energy Statistic. IEEE Access 8 (2020)
Hien Duy Nguyen, Florence Forbes, Geoffrey J. McLachlan
Mini-batch learning of exponential family finite mixture models. Stat. Comput. 30 (4) (2020)
Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Michel Dojat
Deep Learning Models to Study the Early Stages of Parkinson's Disease. ISBI (2020)
Fei Zheng, Stéphane Bonnet, Emma Villeneuve, Maeva Doron, Aurore Lepecq, Florence Forbes
Unannounced Meal Detection for Artificial Pancreas Systems Using Extended Isolation Forest. EMBC (2020)
Vasil Khalidov, Florence Forbes, Radu Horaud
Conjugate Mixture Models for Clustering Multimodal Data. CoRR (2020)
Hien D. Nguyen, Faicel Chamroukhi, Florence Forbes
Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. Neurocomputing 366 (2019)
Karina Ashurbekova, Sophie Achard, Florence Forbes
Structure Learning via Hadamard Product of Correlation and Partial Correlation Matrices. EUSIPCO (2019)
Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. ISBI (2019)
Verónica Muñoz Ramírez, Florence Forbes, Pierrick Coupé, Michel Dojat
No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients. MedInfo (2019)
Alexis Arnaud, Florence Forbes, Nicolas Coquery, Nora Collomb, Benjamin Lemasson, Emmanuel Luc Barbier
Fully Automatic Lesion Localization and Characterization: Application to Brain Tumors Using Multiparametric Quantitative MRI Data. IEEE Trans. Medical Imaging 37 (7) (2018)
Émeline Perthame, Florence Forbes, Antoine Deleforge
Inverse regression approach to robust nonlinear high-to-low dimensional mapping. J. Multivar. Anal. 163 (2018)
Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat
Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. BrainLes@MICCAI (2017)
Alessandro Chiancone, Florence Forbes, Stéphane Girard
Student Sliced Inverse Regression. Comput. Stat. Data Anal. 113 (2017)
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
Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. BrainLes@MICCAI (2017)
Jaime Arias, Philippe Ciuciu, Michel Dojat, Florence Forbes, Aina Frau-Pascual, Thomas Perret, Jan M. Warnking
PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function. SciPy (2017)
Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. Signal Process. 135 (2017)
Israel Dejene Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38 (12) (2016)
Antoine Deleforge, Florence Forbes
Rectified binaural ratio: A complex T-distributed feature for robust sound localization. CoRR (2016)
Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu
Multi-subject joint parcellation detection estimation in functional MRI. ISBI (2016)
Gildas Mazo, Stéphane Girard, Florence Forbes
A flexible and tractable class of one-factor copulas. Stat. Comput. 26 (5) (2016)
Pablo Mesejo, Sandrine Saillet, Olivier David, Christian G. Bénar, Jan M. Warnking, Florence Forbes
A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Antoine Deleforge, Florence Forbes
Rectified binaural ratio: A complex T-distributed feature for robust sound localization. EUSIPCO (2016)
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, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34 (10) (2015)
Antoine Deleforge, Florence Forbes, Radu Horaud
Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds. Int. J. Neural Syst. 25 (1) (2015)
Israel D. Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. CoRR (2015)
Antoine Deleforge, Florence Forbes, Sileye O. Ba, Radu Horaud
Hyper-Spectral Image Analysis With Partially Latent Regression and Spatial Markov Dependencies. IEEE J. Sel. Top. Signal Process. 9 (6) (2015)
Antoine Deleforge, Florence Forbes, Radu Horaud
High-dimensional regression with gaussian mixtures and partially-latent response variables. Stat. Comput. 25 (5) (2015)
Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, Corentin Berthet, Yann Teyssier, Lionel Velly, Jean-François Payen, Michel Dojat
Assessment of Tissue Injury in Severe Brain Trauma. Brainles@MICCAI (2015)
Florence Forbes, Wray L. Buntine
Special session on trends & controversies in data science (TCDS). DSAA (2015)
Darren Wraith, Florence Forbes
Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering. Comput. Stat. Data Anal. 90 (2015)
Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu
Physiological models comparison for the analysis of ASL FMRI data. ISBI (2015)
Gildas Mazo, Stéphane Girard, Florence Forbes
A class of multivariate copulas based on products of bivariate copulas. J. Multivar. Anal. 140 (2015)
Pablo Mesejo, Sandrine Saillet, Olivier David, Christian G. Bénar, Jan M. Warnking, Florence Forbes
Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization. MICCAI (2) (2015)
Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu
Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis. MICCAI (1) (2015)
Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu
Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data. PRNI (2015)
Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda, Philippe Ciuciu, Florence Forbes
Physiologically Informed Bayesian Analysis of ASL fMRI Data. BAMBI (2014)
Antoine Deleforge, Florence Forbes, Sileye O. Ba, Radu Horaud
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies. CoRR (2014)
Aina Frau-Pascual, Thomas Vincent, Florence Forbes, Philippe Ciuciu
Hemodynamically informed parcellation of cerebral FMRI data. ICASSP (2014)
Alexis Roche, Florence Forbes
Partial Volume Estimation in Brain MRI Revisited. MICCAI (1) (2014)
Israel D. Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes
Audio-visual speaker localization via weighted clustering. MLSP (2014)
Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu
Model selection for hemodynamic brain parcellation in FMRI. EUSIPCO (2014)
Antoine Deleforge, Florence Forbes, Radu Horaud
Hyper-spectral image analysis with partially-latent regression. EUSIPCO (2014)
Antoine Deleforge, Florence Forbes, Radu Horaud
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds. CoRR (2014)
Florence Forbes, Darren Wraith
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering. Stat. Comput. 24 (6) (2014)
Antoine Deleforge, Florence Forbes, Radu Horaud
Variational EM for binaural sound-source separation and localization. ICASSP (2013)
Vasil Khalidov, Florence Forbes, Radu Horaud
Alignment of binocular-binaural data using a moving audio-visual target. MMSP (2013)
Antoine Deleforge, Florence Forbes, Radu Horaud
Mapping Learning with Partially Latent Output. CoRR (2013)
Thomas Vincent, Jan Warnking, Marjorie Villien, Alexandre Krainik, Philippe Ciuciu, Florence Forbes
Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data. MICCAI (2) (2013)
Christine Bakhous, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu
Variational variable selection to assess experimental condition relevance in event-related fMRI. ISBI (2013)
M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial
On the difficulty to delimit disease risk hot spots. Int. J. Appl. Earth Obs. Geoinformation 22 (2013)
Lotfi Chaâri, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. IEEE Trans. Medical Imaging 32 (5) (2013)
Thomas Vincent, Florence Forbes, Philippe Ciuciu
Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging. ICASSP (2013)
A. Kai Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong
An improved CUDA-based implementation of differential evolution on GPU. GECCO (2012)
Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu
Robust voxel-wise joint detection estimation of brain activity in fMRI. ICIP (2012)
Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu
Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. MICCAI (3) (2012)
Matthieu Vignes, Juliette Blanchet, Damien Leroux, Florence Forbes
: a software for biological module detection when data is incomplete, high dimensional and dependent. Bioinform. 27 (6) (2011)
Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang
Rigid and Articulated Point Registration with Expectation Conditional Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 33 (3) (2011)
Laurent Risser, Thomas Vincent, Florence Forbes, Jérôme Idier, Philippe Ciuciu
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. 65 (3) (2011)
Vasil Khalidov, Florence Forbes, Radu Horaud
Conjugate Mixture Models for Clustering Multimodal Data. Neural Comput. 23 (2) (2011)
Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu
Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. MICCAI (2) (2011)
A. Kai Qin, Florence Forbes
Harmony search with differential mutation based pitch adjustment. GECCO (2011)
Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud, Florence Forbes
Finding audio-visual events in informal social gatherings. ICMI (2011)
A. Kai Qin, Florence Forbes
Dynamic regional harmony search with opposition and local learning. GECCO (Companion) (2011)
Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat
Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. ISBI (2010)
Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud
Disparity and normal estimation through alternating maximization. ICIP (2010)
Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. AISTATS (2010)
Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. SIGMETRICS/Performance (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Florence Forbes