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2020 – today
- 2024
[j39]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: 102830 (2024)- [j38]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) - [c62]Brice Marc, Philippe Foucher, Florence Forbes, Pierre Charbonnier:
Normalizing Flows with Task-Specific Pre-Training for Unsupervised Anomaly Detection on Engineering Structures. EUSIPCO 2024: 1937-1941 - [c61]Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes:
PASOA- PArticle baSed Bayesian Optimal Adaptive design. ICML 2024 - [c60]Hien Duy Nguyen, TrungTin Nguyen, Florence Forbes:
Bayesian Likelihood Free Inference using Mixtures of Experts. IJCNN 2024: 1-8 - [c59]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Robust Conformal Volume Estimation in 3D Medical Images. MICCAI (10) 2024: 633-643 - [i22]Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes:
PASOA- PArticle baSed Bayesian Optimal Adaptive design. CoRR abs/2402.07160 (2024) - [i21]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 abs/2403.07454 (2024) - [i20]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Robust Conformal Volume Estimation in 3D Medical Images. CoRR abs/2407.19938 (2024) - 2023
- [c58]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: 1-5 - [c57]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. UNSURE@MICCAI 2023: 32-41 - [c56]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI 2023: 104-114 - [c55]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: 347-356 - [c54]Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) 2023: 411-421 - [c53]Yuchen Bai, Jean-Baptiste Durand, Grégoire Vincent, Florence Forbes:
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. NeurIPS 2023 - [i19]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 abs/2302.13593 (2023) - [i18]Yuchen Bai, Jean-Baptiste Durand, Florence Forbes, Grégoire Vincent:
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. CoRR abs/2305.16963 (2023) - [i17]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. CoRR abs/2307.15638 (2023) - [i16]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Multi-layer Aggregation as a key to feature-based OOD detection. CoRR abs/2307.15647 (2023) - [i15]Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat:
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. CoRR abs/2308.11969 (2023) - [i14]Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
Towards frugal unsupervised detection of subtle abnormalities in medical imaging. CoRR abs/2309.02458 (2023) - 2022
- [j37]Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Sara Meoni, Elena Moro, Michel Dojat:
Subtle anomaly detection: Application to brain MRI analysis of de novo Parkinsonian patients. Artif. Intell. Medicine 125: 102251 (2022) - [j36]Benoit Kugler, Florence Forbes, Sylvain Douté:
Fast Bayesian inversion for high dimensional inverse problems. Stat. Comput. 32(2): 31 (2022) - [j35]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): 85 (2022) - [c52]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI 2022: 61-70 - [c51]Thibaud Rahier, Sylvain Marié, Florence Forbes:
A Pre-screening Approach for Faster Bayesian Network Structure Learning. ECML/PKDD (5) 2022: 207-222 - [i13]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust. CoRR abs/2209.10877 (2022) - [i12]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 abs/2210.03736 (2022) - [i11]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. CoRR abs/2211.05421 (2022) - 2021
- [j34]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): 1827-1837 (2021) - [c50]Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI 2021: 187-190 - [c49]Verónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizien, Michel Dojat:
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. MLCN@MICCAI 2021: 34-43 - [i10]Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3D Information in Unsupervised Brain MRI Segmentation. CoRR abs/2101.10674 (2021) - [i9]TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes:
A non-asymptotic penalization criterion for model selection in mixture of experts models. CoRR abs/2104.02640 (2021) - [i8]TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes:
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. CoRR abs/2104.08959 (2021) - 2020
- [j33]Hien Duy Nguyen, Julyan Arbel, Hongliang Lü, Florence Forbes:
Approximate Bayesian Computation Via the Energy Statistic. IEEE Access 8: 131683-131698 (2020) - [j32]Hien Duy Nguyen, Florence Forbes, Geoffrey J. McLachlan:
Mini-batch learning of exponential family finite mixture models. Stat. Comput. 30(4): 731-748 (2020) - [j31]Hongliang Lü, Julyan Arbel, Florence Forbes:
Bayesian nonparametric priors for hidden Markov random fields. Stat. Comput. 30(4): 1015-1035 (2020) - [c48]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: 5892-5895 - [c47]Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Michel Dojat:
Deep Learning Models to Study the Early Stages of Parkinson's Disease. ISBI 2020: 1534-1537 - [i7]Vasil Khalidov, Florence Forbes, Radu Horaud:
Conjugate Mixture Models for Clustering Multimodal Data. CoRR abs/2012.04951 (2020) - [i6]Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang:
Rigid and Articulated Point Registration with Expectation Conditional Maximization. CoRR abs/2012.05191 (2020)
2010 – 2019
- 2019
- [j30]Hien D. Nguyen, Faicel Chamroukhi, Florence Forbes:
Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. Neurocomputing 366: 208-214 (2019) - [c46]Karina Ashurbekova, Sophie Achard, Florence Forbes:
Structure Learning via Hadamard Product of Correlation and Partial Correlation Matrices. EUSIPCO 2019: 1-5 - [c45]Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat:
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. ISBI 2019: 1572-1575 - [c44]Verónica Muñoz Ramírez, Florence Forbes, Pierrick Coupé, Michel Dojat:
No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients. MedInfo 2019: 268-272 - 2018
- [j29]Émeline Perthame, Florence Forbes, Antoine Deleforge:
Inverse regression approach to robust nonlinear high-to-low dimensional mapping. J. Multivar. Anal. 163: 1-14 (2018) - [j28]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): 1678-1689 (2018) - 2017
- [j27]Alessandro Chiancone, Florence Forbes, Stéphane Girard:
Student Sliced Inverse Regression. Comput. Stat. Data Anal. 113: 441-456 (2017) - [j26]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: 132-146 (2017) - [c43]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: 88-99 - [c42]Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat:
Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. BrainLes@MICCAI 2017: 111-122 - [c41]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: 34-40 - 2016
- [j25]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): 416-427 (2016) - [j24]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): 2402-2415 (2016) - [j23]Gildas Mazo, Stéphane Girard, Florence Forbes:
A flexible and tractable class of one-factor copulas. Stat. Comput. 26(5): 965-979 (2016) - [c40]Antoine Deleforge, Florence Forbes:
Rectified binaural ratio: A complex T-distributed feature for robust sound localization. EUSIPCO 2016: 1257-1261 - [c39]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Multi-subject joint parcellation detection estimation in functional MRI. ISBI 2016: 74-77 - [i5]Antoine Deleforge, Florence Forbes:
Rectified binaural ratio: A complex T-distributed feature for robust sound localization. CoRR abs/1609.09743 (2016) - 2015
- [j22]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: 61-73 (2015) - [j21]Antoine Deleforge, Florence Forbes, Radu Horaud:
Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds. Int. J. Neural Syst. 25(1): 1440003:1-1440003:21 (2015) - [j20]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): 1037-1048 (2015) - [j19]Gildas Mazo, Stéphane Girard, Florence Forbes:
A class of multivariate copulas based on products of bivariate copulas. J. Multivar. Anal. 140: 363-376 (2015) - [j18]Antoine Deleforge, Florence Forbes, Radu Horaud:
High-dimensional regression with gaussian mixtures and partially-latent response variables. Stat. Comput. 25(5): 893-911 (2015) - [j17]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 J. 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): 1993-2024 (2015) - [c38]Florence Forbes, Wray L. Buntine:
Special session on trends & controversies in data science (TCDS). DSAA 2015: XVII-XXVIII - [c37]Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu:
Physiological models comparison for the analysis of ASL FMRI data. ISBI 2015: 1348-1351 - [c36]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: 57-68 - [c35]Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu:
Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis. MICCAI (1) 2015: 85-92 - [c34]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: 528-535 - [c33]Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu:
Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data. PRNI 2015: 57-60 - [i4]Israel D. Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud:
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. CoRR abs/1509.01509 (2015) - 2014
- [j16]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): 971-984 (2014) - [c32]Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda, Philippe Ciuciu, Florence Forbes:
Physiologically Informed Bayesian Analysis of ASL fMRI Data. BAMBI 2014: 37-48 - [c31]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Model selection for hemodynamic brain parcellation in FMRI. EUSIPCO 2014: 31-35 - [c30]Antoine Deleforge, Florence Forbes, Radu Horaud:
Hyper-spectral image analysis with partially-latent regression. EUSIPCO 2014: 1572-1576 - [c29]Aina Frau-Pascual, Thomas Vincent, Florence Forbes, Philippe Ciuciu:
Hemodynamically informed parcellation of cerebral FMRI data. ICASSP 2014: 2079-2083 - [c28]Alexis Roche, Florence Forbes:
Partial Volume Estimation in Brain MRI Revisited. MICCAI (1) 2014: 771-778 - [c27]Israel D. Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes:
Audio-visual speaker localization via weighted clustering. MLSP 2014: 1-6 - [i3]Antoine Deleforge, Florence Forbes, Radu Horaud:
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds. CoRR abs/1402.2683 (2014) - [i2]Antoine Deleforge, Florence Forbes, Sileye O. Ba, Radu Horaud:
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies. CoRR abs/1409.8500 (2014) - 2013
- [j15]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: 99-105 (2013) - [j14]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): 821-837 (2013) - [c26]Antoine Deleforge, Florence Forbes, Radu Horaud:
Variational EM for binaural sound-source separation and localization. ICASSP 2013: 76-80 - [c25]Thomas Vincent, Florence Forbes, Philippe Ciuciu:
Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging. ICASSP 2013: 1003-1007 - [c24]Christine Bakhous, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu:
Variational variable selection to assess experimental condition relevance in event-related fMRI. ISBI 2013: 1508-1511 - [c23]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: 616-624 - [c22]Vasil Khalidov, Florence Forbes, Radu Horaud:
Alignment of binocular-binaural data using a moving audio-visual target. MMSP 2013: 242-247 - [i1]Antoine Deleforge, Florence Forbes, Radu Horaud:
Mapping Learning with Partially Latent Output. CoRR abs/1308.2302 (2013) - 2012
- [c21]A. Kai Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong:
An improved CUDA-based implementation of differential evolution on GPU. GECCO 2012: 991-998 - [c20]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu:
Robust voxel-wise joint detection estimation of brain activity in fMRI. ICIP 2012: 1273-1276 - [c19]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu:
Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. MICCAI (3) 2012: 180-188 - 2011
- [j13]Matthieu Vignes, Juliette Blanchet, Damien Leroux, Florence Forbes:
SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependent. Bioinform. 27(6): 881-882 (2011) - [j12]Vasil Khalidov, Florence Forbes, Radu Horaud:
Conjugate Mixture Models for Clustering Multimodal Data. Neural Comput. 23(2): 517-557 (2011) - [j11]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): 587-602 (2011) - [j10]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): 325-338 (2011) - [c18]A. Kai Qin, Florence Forbes:
Dynamic regional harmony search with opposition and local learning. GECCO (Companion) 2011: 53-54 - [c17]A. Kai Qin, Florence Forbes:
Harmony search with differential mutation based pitch adjustment. GECCO 2011: 545-552 - [c16]Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud, Florence Forbes:
Finding audio-visual events in informal social gatherings. ICMI 2011: 247-254 - [c15]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: 260-268 - 2010
- [b2]Florence Forbes:
Models and inference for structured stochastic systems. (Modèles et inférence pour des systèmes stochastiques structurés). Grenoble Alpes University, France, 2010 - [c14]Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud:
Disparity and normal estimation through alternating maximization. ICIP 2010: 2969-2972 - [c13]Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat:
Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. ISBI 2010: 69-72 - [c12]Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat:
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. AISTATS 2010: 225-232
2000 – 2009
- 2009
- [j9]Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay:
Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans. Artif. Intell. Medicine 46(1): 81-95 (2009) - [j8]Juliette Blanchet, Florence Forbes, Sophie Chopart, Lamiae Azizi:
Le logiciel SpaCEM3 pour la classification de données complexes. Monde des Util. Anal. Données 40: 147-166 (2009) - [j7]Matthieu Vignes, Florence Forbes:
Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features. IEEE ACM Trans. Comput. Biol. Bioinform. 6(2): 260-270 (2009) - [j6]Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat:
Distributed Local MRF Models for Tissue and Structure Brain Segmentation. IEEE Trans. Medical Imaging 28(8): 1278-1295 (2009) - [c11]Benoit Scherrer, Florence Forbes, Michel Dojat:
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation. MICCAI (1) 2009: 540-548 - [c10]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: 263-274 - 2008
- [j5]Juliette Blanchet, Florence Forbes:
Triplet Markov Fields for the Classification of Complex Structure Data. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1055-1067 (2008) - [c9]Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud:
Cooperative disparity and object boundary estimation. ICIP 2008: 1784-1787 - [c8]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:
The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements. ICMI 2008: 109-116 - [c7]Vasil Khalidov, Florence Forbes, Miles E. Hansard, Elise Arnaud, Radu Horaud:
Detection and localization of 3d audio-visual objects using unsupervised clustering. ICMI 2008: 217-224 - [c6]Vasil Khalidov, Florence Forbes, Miles E. Hansard, Elise Arnaud, Radu Horaud:
Audio-Visual Clustering for 3D Speaker Localization. MLMI 2008: 86-97 - 2007
- [j4]Florence Forbes, Gersende Fort:
Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields. IEEE Trans. Image Process. 16(3): 824-837 (2007) - [c5]Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay:
MRF Agent Based Segmentation: Application to MRI Brain Scans. AIME 2007: 13-23 - [c4]Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay:
LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans. MICCAI (1) 2007: 219-227 - 2006
- [c3]Guillaume Dewaele, Frederic Devernay, Radu Horaud, Florence Forbes:
The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces. ECCV (3) 2006: 578-591 - 2005
- [c2]Juliette Blanchet, Florence Forbes, Cordelia Schmid:
Markov Random Fields for Textures Recognition with Local Invariant Regions and their Geometric Relationships. BMVC 2005 - [c1]Juliette Blanchet, Florence Forbes, Cordelia Schmid:
Modèles markoviens pour l'organisation spatiale de descripteurs d'images. CAP 2005: 113-126 - 2003
- [j3]Florence Forbes, Nathalie Peyrard:
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations. IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1089-1101 (2003) - [j2]Gilles Celeux, Florence Forbes, Nathalie Peyrard:
EM procedures using mean field-like approximations for Markov model-based image segmentation. Pattern Recognit. 36(1): 131-144 (2003)
1990 – 1999
- 1998
- [j1]Florence Forbes, Bernard Ycart:
Counting stable sets on Cartesian products of graphs. Discret. Math. 186(1-3): 105-116 (1998) - 1996
- [b1]Florence Forbes:
Modèles markoviens de ressources partagées. (Markovian models for resource sharing). Joseph Fourier University, Grenoble, France, 1996
Coauthor Index
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last updated on 2024-11-07 21:30 CET by the dblp team
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