Filtrer vos résultats
- 172
- 76
- 3
- 152
- 53
- 15
- 11
- 9
- 8
- 1
- 1
- 1
- 13
- 124
- 95
- 76
- 67
- 15
- 9
- 7
- 2
- 1
- 3
- 15
- 24
- 12
- 13
- 19
- 16
- 8
- 15
- 20
- 15
- 12
- 10
- 18
- 9
- 10
- 7
- 7
- 5
- 5
- 1
- 2
- 2
- 1
- 1
- 1
- 230
- 21
- 250
- 233
- 26
- 24
- 23
- 13
- 11
- 10
- 9
- 9
- 8
- 7
- 6
- 6
- 6
- 5
- 5
- 5
- 5
- 4
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 251
- 51
- 31
- 25
- 24
- 21
- 19
- 18
- 18
- 14
- 13
- 13
- 12
- 11
- 11
- 10
- 10
- 10
- 9
- 9
- 8
- 8
- 8
- 7
- 7
- 7
- 7
- 7
- 6
- 6
- 6
- 6
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
251 résultats
|
Models and inference for structured stochastic systemsModeling and Simulation. Université de Grenoble, 2010
HDR
tel-00578938v1
|
||
|
Triplet Markov fields for the classification of complex structure data[Research Report] RR-6356, INRIA. 2007
Rapport
inria-00168621v2
|
||
Online Majorization Minimization algorithmsCIRM Workshop on Computational Methods for Unifying Multiple Statistical Analyses (Fusion), Oct 2022, Luminy, France
Communication dans un congrès
hal-03874028v1
|
|||
|
SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependentBioinformatics, 2011, 27 (6), pp.881-882. ⟨10.1093/bioinformatics/btr034⟩
Article dans une revue
hal-00780593v1
|
||
Triplet Markov fields for the classification of complex structure dataIEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30 (6), pp.1055-1067. ⟨10.1109/TPAMI.2008.27⟩
Article dans une revue
hal-00846808v1
|
|||
|
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweights: Application to robust clusteringStatistics and Computing, 2014, 24 (6), pp.971-984. ⟨10.1007/s11222-013-9414-4⟩
Article dans une revue
hal-00823451v2
|
||
|
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis2022
Pré-publication, Document de travail
hal-03806630v1
|
||
|
Optimal shrinkage for robust covariance matrix estimators in a small sample size setting2021
Pré-publication, Document de travail
hal-02378034v3
|
||
|
Rectified binaural ratio: A complex T-distributed feature for robust sound localizationEuropean Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1257-1261, ⟨10.1109/EUSIPCO.2016.7760450⟩
Communication dans un congrès
hal-01372337v1
|
||
Massive hyperspectral images analysis by inverse regression of physical modelsStatLearn 2019 Workshop on Challenging problems in Statistical Learning, Apr 2019, Grenoble, France
Poster de conférence
hal-02423640v1
|
|||
Parcel-free Joint Detection-Estimation in fMRI44e Journées de Statistique, Société Française de Statistique, May 2012, Bruxelles, Belgium
Communication dans un congrès
hal-00780084v1
|
|||
|
Physiologically Informed Bayesian Analysis of ASL fMRI DataBAMBI 2014 - First International Workshop on Bayesian and grAphical Models for Biomedical Imaging, Sep 2014, Boston, United States. pp.37 - 48, ⟨10.1007/978-3-319-12289-2_4⟩
Communication dans un congrès
hal-01100266v1
|
||
Détection-estimation conjointe en IRM fonctionnelleJean-François Giovannelli and Jérôme Idier. Méthodes d'inversion appliquées au traitement du signal et de l'image, Hermès, 2013
Chapitre d'ouvrage
hal-00823455v1
|
|||
|
Mixture Models for the characterization of brain abnormalities in "de novo" Parkinsonian patientsCNIV 2019 - 3e Congrès National d’Imagerie du Vivant, Feb 2019, Paris, France. pp.1-16
Communication dans un congrès
hal-02436886v1
|
||
|
Multimodal MRI segmentation of ischemic stroke lesionsEMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2007, Lyon, France. pp.1595-1598, ⟨10.1109/IEMBS.2007.4352610⟩
Communication dans un congrès
inserm-00402278v1
|
||
|
Distributed local MRF models for tissue and structure brain segmentationIEEE Transactions on Medical Imaging, 2009, 28 (8), pp.1278-1295. ⟨10.1109/TMI.2009.2014459⟩
Article dans une revue
inserm-00402265v1
|
||
|
MRF agent based segmentation: Application to MRI brain scansAIME 2007 - 11th Conference on Artificial Intelligence in Medicine, Jul 2007, Amsterdam, Netherlands. pp.13-23, ⟨10.1007/978-3-540-73599-1_2⟩
Communication dans un congrès
inserm-00519836v1
|
||
|
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trustiMIMIC 2022 - Workshop on Interpretability of Machine Intelligence in Medical Image Computing, Sep 2022, Singapore, Singapore. pp.61-70, ⟨10.1007/978-3-031-17976-1_6⟩
Communication dans un congrès
hal-03883749v1
|
||
Neurovascular multiparametric MRI defines epileptogenic and seizure propagation regions in experimental mesiotemporal lobe epilepsyEpilepsia, 2021, 62 (5), pp.1244-1255. ⟨10.1111/epi.16886⟩
Article dans une revue
hal-03193021v1
|
|||
|
A Joint Framework for Disparity and Surface Normal Estimation[Research Report] RR-7090, INRIA. 2009, pp.17
Rapport
inria-00430635v1
|
||
|
The Alignment Between 3-D Data and Articulated Shapes with Bending SurfacesEuropean Conference on Computer Vision, May 2006, Graz, Austria. pp.578-591, ⟨10.1007/11744078_45⟩
Communication dans un congrès
inria-00262288v1
|
||
On the difficulty to delimit disease risk hot spotsInternational Journal of Applied Earth Observation and Geoinformation, 2012, Spatial Statistics for Mapping the Environment, 22, pp.99-105. ⟨10.1016/j.jag.2012.04.005⟩
Article dans une revue
istex
hal-00780054v1
|
|||
Surrogate posteriors for Approximate Bayesian ComputationSIAM Conference on Computational Science and Engineering (CSE21), Likelihood-free inference minisymposium, Mar 2021, Virtual, France
Communication dans un congrès
hal-03874042v1
|
|||
|
Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patientsISBI 2023 - IEEE 20th International Symposium on Biomedical Imaging, Apr 2023, Cartegena de Indias, Colombia. pp.1-4
Communication dans un congrès
hal-03998623v1
|
||
|
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation13th International Conference on Artificial Intelligence and Statistics - AISTATS 2010, May 2010, Sardinia, Italy. pp.225-232
Communication dans un congrès
inserm-00723808v1
|
||
|
LOCUS: local cooperative unified segmentation of MRI brain scansMICCAI07 - 10th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2007, Brisbane, Australia. pp.219-227, ⟨10.1007/978-3-540-75757-3_27⟩
Communication dans un congrès
inserm-00402276v1
|
||
|
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)IEEE Transactions on Medical Imaging, 2014, 34 (10), pp.1993-2024. ⟨10.1109/TMI.2014.2377694⟩
Article dans une revue
hal-00935640v2
|
||
|
Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI SegmentationISMRM-ESMRMB & ISMRT 2022 - 31st Joint Annual Meeting International Society for Magnetic Resonance in Medecine, May 2022, London, United Kingdom. pp.1-3
Communication dans un congrès
hal-03578023v1
|
||
|
Non linear robust regression in high dimensionThe XXVIIIth International Biometric Conference, Jul 2016, Victoria, Canada
Communication dans un congrès
hal-01423622v1
|
||
|
Régression non linéaire robuste en grande dimension48èmes Journées de Statistique organisées par la Société Française de Statistique, May 2016, Montpellier, France
Communication dans un congrès
hal-01423630v1
|