Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Hernán Darío Vargas Cardona"'
Publikováno v:
Tecnura, Vol 19, Iss 45, Pp 15-28 (2015)
Identification of brain signals from microelectrode recordings (MER) is a key procedure during deep brain stimulation (DBS) applied in Parkinson’s disease patients. The main purpose of this research work is to identify with high accuracy a brain st
Externí odkaz:
https://doaj.org/article/a6d20cb930e54e40894593b1b1008d20
Autor:
Marcela Arrivillaga, Paula C. Bermúdez, Juan Pablo García-Cifuentes, Mérida Rodríguez-López, Daniela Neira, Hernán Darío Vargas-Cardona
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e14289- (2023)
Global cervical cancer incidence and mortality have remained a major public health problem. Depending on the quality and coverage of preventive programs, and the capacity of health care systems, different screening tests are used, with the Pap smear
Externí odkaz:
https://doaj.org/article/89e43f8afbc44b22b3c3b800562e93cb
Autor:
Luis Ariosto Serna Cardona, Hernán Darío Vargas-Cardona, Piedad Navarro González, David Augusto Cardenas Peña, Álvaro Ángel Orozco Gutiérrez
Publikováno v:
Computation, Vol 8, Iss 4, p 104 (2020)
The recurrent use of databases with categorical variables in different applications demands new alternatives to identify relevant patterns. Classification is an interesting approach for the recognition of this type of data. However, there are a few a
Externí odkaz:
https://doaj.org/article/cd99e39fe7a14051b10468166a66a0e3
Autor:
David Alejandro Jimenez-Sierra, Hernán Darío Benítez-Restrepo, Hernán Darío Vargas-Cardona, Jocelyn Chanussot
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2683 (2020)
The complementary nature of different modalities and multiple bands used in remote sensing data is helpful for tasks such as change detection and the prediction of agricultural variables. Nonetheless, correctly processing a multi-modal dataset is not
Externí odkaz:
https://doaj.org/article/ae3cfb285b0a425a95bb2135cb67661c
En los últimos años, los tumores malignos se han convertido en un problema de salud pública con una alta incidencia en la población mundial. Dependiendo del tipo de tumor se han planteado diferentes tratamientos, donde la ablación tumoral, media
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e067fc0bbf741ff8d33c0e3fcf67f946
https://hdl.handle.net/11059/14176
https://hdl.handle.net/11059/14176
Publikováno v:
Expert Systems with Applications. 118:92-108
Diffusion magnetic resonance imaging (dMRI) is an established medical technique used for describing water diffusion in an organic tissue. Typically, rank-2 or 2nd-order tensors quantify this diffusion. From this quantification, it is possible to calc
Autor:
Piedad Navarro González, Álvaro Ángel Orozco Gutiérrez, David Augusto Cárdenas Peña, Luis Ariosto Serna Cardona, Hernán Darío Vargas-Cardona
Publikováno v:
Computation
Volume 8
Issue 4
Computation, Vol 8, Iss 104, p 104 (2020)
Volume 8
Issue 4
Computation, Vol 8, Iss 104, p 104 (2020)
The recurrent use of databases with categorical variables in different applications demands new alternatives to identify relevant patterns. Classification is an interesting approach for the recognition of this type of data. However, there are a few a
Autor:
Hernán Darío Benítez-Restrepo, Jocelyn Chanussot, Hernán Darío Vargas-Cardona, David Alejandro Jimenez-Sierra
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2020, 12 (17), pp.2683. ⟨10.3390/rs12172683⟩
Remote Sensing; Volume 12; Issue 17; Pages: 2683
Remote Sensing, Vol 12, Iss 2683, p 2683 (2020)
Remote Sensing, MDPI, 2020, 12 (17), pp.2683. ⟨10.3390/rs12172683⟩
Remote Sensing; Volume 12; Issue 17; Pages: 2683
Remote Sensing, Vol 12, Iss 2683, p 2683 (2020)
International audience; The complementary nature of different modalities and multiple bands used in remote sensing data is helpful for tasks such as change detection and the prediction of agricultural variables. Nonetheless, correctly processing a mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad0f8ee072131c38863062cb3f123048
https://hal.archives-ouvertes.fr/hal-03142181
https://hal.archives-ouvertes.fr/hal-03142181
Publikováno v:
International Journal of Machine Learning and Cybernetics. 9:1181-1192
Deep brain stimulation (DBS) of Subthalamic nucleus (STN) is the most successful treatment for advanced Parkinson’s disease. Localization of the STN through Microelectrode recordings (MER) is a key step during the surgery. However, it is a complex
Autor:
Alvaro A. Orozco, Hernán Darío Vargas-Cardona, Andrés Álvarez, Robinson Aguilar, Piedad Navarro
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
CIARP
Deep brain stimulation (DBS) is a neurosurgical method to treat symptoms of Parkinson’ disease. Several computational models, mostly based on finite element method (FEM) have been employed to describe the interaction of electromagnetic waves in bra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426f372b9dda8285f6aad7335754c17a
https://doi.org/10.1007/978-3-030-13469-3_86
https://doi.org/10.1007/978-3-030-13469-3_86