Steren Chabert
Steren Chabert
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Diffusion tensor imaging of the human optic nerve using a non‐CPMG fast spin echo sequence
S Chabert, N Molko, Y Cointepas, P Le Roux, D Le Bihan
Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2005
Theoretical and experimental study of growth and remodeling in the developing heart
LA Taber, S Chabert
Biomechanics and modeling in mechanobiology 1 (1), 29-43, 2002
Diffusion signal in magnetic resonance imaging: origin and interpretation in neurosciences
S Chabert, P Scifo
Biological research 40 (4), 385-400, 2007
Relevance of the information about the diffusion distribution in vivo given by kurtosis in q-space imaging
S Chabert, CC Meca, D Le Bihan
Proceedings of the 12th Annual Meeting of ISMRM, Kyoto, Japan 1238, 2004
Self-organizing neuro-fuzzy inference system
H Allende-Cid, A Veloz, R Salas, S Chabert, H Allende
Iberoamerican Congress on Pattern Recognition, 429-436, 2008
Fuzzy spatial growing for glioblastoma multiforme segmentation on brain magnetic resonance imaging
A Veloz, S Chabert, R Salas, A Orellana, J Vielma
Iberoamerican Congress on Pattern Recognition, 861-870, 2007
Intramyocardial pressure measurements in the stage 18 embryonic chick heart
S Chabert, LA Taber
American Journal of Physiology-Heart and Circulatory Physiology 282 (4 …, 2002
Pseudorehearsal approach for incremental learning of deep convolutional neural networks
D Mellado, C Saavedra, S Chabert, R Salas
Latin American Workshop on Computational Neuroscience, 118-126, 2017
Brain Tumors: ow Can Images and Segmentation Techniques elp?
A Veloz, A Orellana, J Vielma, R Salas, S Chabert
Diagnostic Techniques and Surgical Management of Brain Tumors, 67, 2011
Biomedical engineering undergraduate education in Latin America
R Allende, D Morales, G Avendano, S Chabert
Journal of Physics: Conference Series 90 (1), 012019, 2007
Applying machine learning and image feature extraction techniques to the problem of cerebral aneurysm rupture
S Chabert, T Mardones, R Riveros, M Godoy, A Veloz, R Salas, P Cox
Research Ideas and Outcomes 3, e11731, 2017
Diffusion MRI at large b values: what’s the limit
C Meca, S Chabert, D Le Bihan
Proceedings of the 12th Annual Meeting of ISMRM, Kyoto, Japan, 1196, 2004
Functional” diffusion tensor imaging of the optic nerve using a non CPMG fast spin echo sequence
S Chabert, N Molko, Y Cointepas, P Le Roux, D Le Bihan
Proc Intl Soc Magn Reson Med 10, 1115, 2002
Study protocol and rationale of the “Cogni-action project” a cross-sectional and randomized controlled trial about physical activity, brain health, cognition, and educational …
P Solis-Urra, J Olivares-Arancibia, E Suarez-Cadenas, ...
BMC pediatrics 19 (1), 1-16, 2019
Convolutional neural networks for detection intracranial hemorrhage in CT images.
JS Castro, S Chabert, C Saavedra, R Salas
CRoNe, 37-43, 2019
Impact of b-Value Sampling Scheme on Brain IVIM Parameter Estimation in Healthy Subjects
S Chabert, J Verdu, G Huerta, C Montalba, P Cox, R Riveros, S Uribe, ...
Magnetic Resonance in Medical Sciences, mp. 2019-0061, 2019
Self-improving generative artificial neural network for pseudorehearsal incremental class learning
D Mellado, C Saavedra, S Chabert, R Torres, R Salas
Algorithms 12 (10), 206, 2019
Complex adaptive systems with inference learning emergent property to estimate tailored to the problem specificity mathematical transforms: three study cases
A Glaría, H Zepeda, S Chabert, M Hidalgo, J Demongeot, C Taramasco
ECCS 13, 127-129, 2013
Normal values of wall shear stress in the pulmonary artery from 4D flow data
JA Sotelo, P Bächler, S Chabert, D Hurtado, P Irarrazaval, C Tejos, ...
Journal of Cardiovascular Magnetic Resonance 14 (1), 1-2, 2012
Incremental ensemble of deep learning with pseudorehearsal
D Mellado, R Salas, S Chabert, A Veloz, C Saavedra
II Latin American Conference on Statistical Computing, Valparaiso, Chile, 2017
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Artículos 1–20