About: Michel Dojat

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An Entity of Type : foaf:Person, within Data Space : data.idref.fr associated with source document(s)

Attributes	Values
type	Person
sameAs	Dojat, Michel (19..-.... ; ingénieur) Dojat, Michel (19..-.... ; ingénieur) Dojat, Michel (19..-.... ; ingénieur) Dojat, Michel (19..-.... ; ingénieur) Dojat, Michel (19..-.... ; ingénieur)
Life Event	http://www.idref.fr/075440202/birth
preferred label	Dojat, Michel (19..-.... ; ingénieur)
name	Michel Dojat
dbpedia-owl:citizenship	http://sws.geonames.org/3017382/
Language	http://lexvo.org/id/iso639-3/fra
isni:identifierValid	0000000037238275
Given name	Michel
familyName	Dojat
has biographical i...tion (Deprecated)	CHU de Grenoble, Unité mixte INSERM-UJF U594 \"Neuroimagerie fonctionnelle et métabolique\" (Grenoble, France) Travaille sur la neuroimagerie fonctionnelle du cerveau humain et animal. Ingénieur de recherche à l'Inserm
gender	male
ORCID iD	0000-0003-2747-6845
Scopus ID	7003427784
is sameAs of	Dojat, Michel (19..-.... ; ingénieur) Dojat, Michel (19..-.... ; ingénieur)
is Thesis advisor of	http://www.sudoc.fr/084631848/id http://www.sudoc.fr/137942303/id http://www.sudoc.fr/174345380/id http://www.sudoc.fr/202968693/id Activations cérébrales liées à l’intégration des indices locaux lors de la perception de la transparence, investigation basée sur l’imagerie fonctionnelle cérébrale http://www.sudoc.fr/178213683/id Segmentation des tissus et structures sur les IRM cérébrales, agents markoviens locaux et coopératifs et formulation bayésienne http://www.sudoc.fr/130856983/id http://www.sudoc.fr/16021971X/id http://www.sudoc.fr/225451395/id http://www.sudoc.fr/26115785X/id http://www.sudoc.fr/277193826/id http://www.sudoc.fr/267994699/id http://www.sudoc.fr/27117093X/id http://www.sudoc.fr/246790490/id Une approche située, coopérative et décentralisée pour l'interprétation d'images cérébrales par RMN http://www.sudoc.fr/247129887/id http://www.sudoc.fr/255746636/id Un cadre unifié de représentation pour des études visuelles de groupe sur la base de cartes rétinotopiques acquises en IRMf à 3 T http://www.sudoc.fr/279836708/id
is Contributor of	Global integration of local color differences in transparency perception: An fMRI study
is Praeses of	http://www.sudoc.fr/272982857/id http://www.sudoc.fr/264212231/id http://www.sudoc.fr/269134883/id http://www.sudoc.fr/268985596/id http://www.sudoc.fr/270888918/id
is Author of	http://www.sudoc.fr/043986102/id The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) Optimisation de la procédure de cartographie rétinotopique par IRMf pour une application clinique EyeCoG: Eye movements as multidimensional signatures of cognitive and cerebral (dys)functioning A Joint Bayesian Framework for MR Brain Scan Tissue and Structure Segmentation Based on Distributed Markovian Agents Imageurs encore un effort si vous voulez partager des données ! MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function Quantitative MRI characterization of brain abnormalities in de novo Parkinsonian patients No Structural Differences Are Revealed by VBM in 'de novo' Parkinsonian Patients Knowledge-based systems for automatic ventilatory management. Local landmark alignment for high-resolution fMRI group studies: toward a fine cortical investigation of hand movements in human. Sharing Data and Image Processing Pipelines: The Information Analysis & Management initiative Effects of background and contour luminance on the hue and brightness of the Watercolor effect Computer/Human Structural Coupling for Data Interpretation Knowledge construction from time series data using a collaborative exploration approach A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation Distributed and Cooperative Markovian Segmentation of tissues and structures in MRI brain scans Event-related fMRI adaptation paradigm on real and synesthetic colors http://www.sudoc.fr/273142224/id Adaptive experimental condition selection in event-related fMRI Statistical shape modeling of unfolded retinotopic maps for a visual areas probabilistic atlas Distributed local MRF models for tissue and structure brain segmentation Human-Computer interaction to learn scenarios from ICU multivariate time series Clinical evaluation of a computer-controlled pressure support mode. EyeProxy_DB : an open database on the visual system of healthy young volunteers (oculometric, EEG and MRI signals) http://www.sudoc.fr/246249706/id Sélection de variables dans un cadre Bayésien de traitement de données d'IRM fonctionnelle Anomaly detection in the MRI data of newly diagnosed Parkinsonian patients L'Analyse en Composantes Indépendantes Temporelle en Imagerie par Résonance Magnétique Fonctionnelle Timing of interactions across the visual field in the human cortex. A knowledge-based system for assisted ventilation of patients in intensive care units. MSSEG-2: A medical imaging challenge on VIP http://journals.openedition.org/insitu/22094#id Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI Segmentation LOCUS: local cooperative unified segmentation of MRI brain scans No structural Brain differences in 'de novo' Parkinsonian patients Automated segmentation of human brain MR images using a multi-agent approach. fMRI retinotopic mapping at 3 T: benefits gained from correcting the spatial distortions due to static field inhomogeneity. Segmentation des tumeurs cérébrales de bas grade par une approche bayésienne : délinéation manuelle versus automatique Contributions of contour frequency, amplitude, and luminance to the watercolor effect estimated by conjoint measurement Fr ed eric Devinck Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination Quantitative evaluation of fMRI retinotopic maps, from V1 to V4, for cognitive experiments France Life Imaging and the transversal node for Information Analysis and Management (IAM) Weaning Moving illusory contours activate primary visual cortex: an fMRI study. Scenario recognition for temporal reasoning in medical domains Automatic multiple sclerosis lesion segmentation with P-LOCUS AnalyzeFMRI: an R package to perform statistical analysis on FMRI datasets A critical review of the neuroimaging literature on synesthesia https://hal.archives-ouvertes.fr/hal-03498127#id Deep learning models to study the early stages of Parkinson's disease Nodal statistics-based equivalence relation for graph collections

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