Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Roberto Becerra"'
Autor:
Ruxandra Stoean, Catalin Stoean, Roberto Becerra-García, Rodolfo García-Bermúdez, Miguel Atencia, Francisco García-Lagos, Luis Velázquez-Pérez, Gonzalo Joya
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0236401 (2020)
Medical data are often tricky to get mined for patterns even by the generally demonstrated successful modern methodologies of deep learning. This paper puts forward such a medical classification task, where patient registers of two of the categories
Externí odkaz:
https://doaj.org/article/99446791644046ccb6c77b3e6bb4a5d0
Autor:
Rodolfo García Bermudez, Cristhian Torres Morán, David Zambrano, Roberto Becerra García, Noldy Carracedo
Publikováno v:
Informática y Sistemas, Vol 1, Iss 1 (2017)
Los movimientos oculares sacadicos son de gran utilidad en el diaanóstico y evalucaciñon de enfermedades neurológicas, para su adquisición y procesamiento se necesita de equipamiento especializado y caro. en este trabajo se realiza la caracteriza
Externí odkaz:
https://doaj.org/article/4c5e625c246e4dde916faa80ce201099
Publikováno v:
Informática y Sistemas, Vol 1, Iss 1 (2017)
Los movimientos oculares tienen una funcion muy útil en la identificación de las disfunciones en un amplio rango de condiciones neurológicas. La aplicación de ICA a los registros electrocardiografos permite la obtención de dos componentes respon
Externí odkaz:
https://doaj.org/article/6908796f07274e8093c3d97cceca1348
Autor:
Vincent J. Picozzi, Teresa Macarulla, Philip A. Philip, Carlos Roberto Becerra, Tomislav Dragovich
Publikováno v:
Journal of Clinical Oncology. 41:TPS770-TPS770
TPS770 Background: Tumor Treating Fields (TTFields) therapy is a loco-regional antimitotic treatment approved for glioblastoma and malignant mesothelioma. TTFields (150 kHz), with/without chemotherapy, induced antiproliferative and anticlonogenic act
Autor:
Vincent J. Picozzi, Teresa Macarulla, Philip Agop Philip, Carlos Roberto Becerra, Tomislav Dragovich
Publikováno v:
Cancer Research. 82:A021-A021
Background: Tumor Treating Fields (TTFields) therapy is a loco-regional antimitotic treatment approved for glioblastoma and malignant pleural mesothelioma. TTFields (150 kHz), with/without chemotherapy, induced antiproliferative and anticlonogenic ac
Autor:
Gregory P. Botta, Carlos Roberto Becerra, Zhaohui Jin, Dae Won Kim, Dan Zhao, Heinz-Josef Lenz, Hong Ma, Audrey Ween, Petra Acha, Zonghai Li, Harry H. Yoon
Publikováno v:
Journal of Clinical Oncology. 40:2538-2538
2538 Background: Claudin 18.2 (CLDN18.2) is a highly selective cell lineage marker with limited expression in normal gastric tissues and significantly higher expression in primary gastric, pancreatic tumors and their metastases. Anti-CLDN18.2-targete
Autor:
Vincent J. Picozzi, Teresa Macarulla, Philip A. Philip, Carlos Roberto Becerra, Tomislav Dragovich
Publikováno v:
Journal of Clinical Oncology. 40:TPS629-TPS629
TPS629 Background: Tumor Treating Fields (TTFields) are a non-invasive, loco-regional antimitotic therapy approved for the treatment of glioblastoma and malignant pleural mesothelioma. TTFields (150–200 kHz) are delivered via arrays placed on the s
Publikováno v:
Journal of Clinical Oncology. 40:579-579
579 Background: Few analyses have identified characteristics associated with extended DOT (eDOT) among a large group of patients (pts) treated with liposomal irinotecan. This study examines the characteristics associated with eDOT among pts with mPDA
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5021, p 5021 (2021)
Sensors
Volume 21
Issue 15
Sensors, Vol 21, Iss 5021, p 5021 (2021)
Sensors
Volume 21
Issue 15
Saccadic electrooculograms are discrete biosignals that contain the instantaneous angular position of the human eyes as a response to saccadic visual stimuli. These signals are essential to monitor and evaluate several neurological diseases, such as
Autor:
Francisco García-Lagos, Ruxandra Stoean, Luis Velázquez-Pérez, Roberto Becerra-García, Gonzalo Joya, Miguel Atencia, Rodolfo García-Bermúdez, Catalin Stoean
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 7, p e0236401 (2020)
PLoS ONE, Vol 15, Iss 7, p e0236401 (2020)
Medical data are often tricky to get mined for patterns even by the generally demonstrated successful modern methodologies of deep learning. This paper puts forward such a medical classification task, where patient registers of two of the categories