Zobrazeno 1 - 10
of 122
pro vyhledávání: '"José Rodríguez-Álvarez"'
Autor:
Alejandro Sanz-Sanchez, Francisco B. García, Pablo Mesas-Lafarga, Joan Prats-Climent, María José Rodríguez-Álvarez
Publikováno v:
Algorithms, Vol 17, Iss 11, p 511 (2024)
There has been a strong interest in using neural networks to solve several tasks in PET medical imaging. One of the main problems faced when using neural networks is the quality, quantity, and availability of data to train the algorithms. In order to
Externí odkaz:
https://doaj.org/article/65f1031c9be24381af864e2697996ef2
Autor:
Jiménez-Gaona, Yuliana, Carrión-Figueroa, Diana, Lakshminarayanan, Vasudevan, José Rodríguez-Álvarez, María
Publikováno v:
In Biomedical Signal Processing and Control August 2024 94
Publikováno v:
Frontiers in Molecular Neuroscience, Vol 14 (2021)
Long-lasting changes of synaptic efficacy are largely mediated by activity-induced gene transcription and are essential for neuronal plasticity and memory. In this scenario, transcription factors have emerged as pivotal players underlying synaptic pl
Externí odkaz:
https://doaj.org/article/99a7cbcf432644129474a539475b73ca
Autor:
Dolores Siedlecki-Wullich, Judit Català-Solsona, Cristina Fábregas, Isabel Hernández, Jordi Clarimon, Alberto Lleó, Merce Boada, Carlos A. Saura, José Rodríguez-Álvarez, Alfredo J. Miñano-Molina
Publikováno v:
Alzheimer’s Research & Therapy, Vol 11, Iss 1, Pp 1-11 (2019)
Abstract Background Several evidences suggest that failure of synaptic function occurs at preclinical stages of Alzheimer’s disease (AD) preceding neuronal loss and the classical AD pathological hallmarks. Nowadays, there is an urgent need to ident
Externí odkaz:
https://doaj.org/article/5326823f84d847a0a46d56a61f8f9b97
Autor:
Juan Manuel Álvarez-Gómez, Joaquín Santos-Blasco, Laura Moliner Martínez, María José Rodríguez-Álvarez
Publikováno v:
Journal of Imaging, Vol 7, Iss 10, p 199 (2021)
Improvements in energy resolution of modern positron emission tomography (PET) detectors have created opportunities to implement energy-based scatter correction algorithms. Here, we use the energy information of auxiliary windows to estimate the scat
Externí odkaz:
https://doaj.org/article/02f510635b864d4c9ea5f355f0f2889b
Autor:
Héctor Espinós-Morató, David Cascales-Picó, Marina Vergara, Ángel Hernández-Martínez, José María Benlloch Baviera, María José Rodríguez-Álvarez
Publikováno v:
Sensors, Vol 21, Iss 8, p 2608 (2021)
Positron emission tomography (PET) is a functional non-invasive imaging modality that uses radioactive substances (radiotracers) to measure changes in metabolic processes. Advances in scanner technology and data acquisition in the last decade have le
Externí odkaz:
https://doaj.org/article/31a4841aa354427496a4610141d2473c
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1675 (2021)
Medical brain image analysis is a necessary step in computer-assisted/computer-aided diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and classification of various diseases. I
Externí odkaz:
https://doaj.org/article/92f7be91540b4cc58204d60c51096b8a
Autor:
Elena Pérez-Nadales, Mario Fernández-Ruiz, Alejandra M. Natera, Belén Gutiérrez-Gutiérrez, Alessandra Mularoni, Giovanna Russelli, Ligia Camera Pierrotti, Maristela Pinheiro Freire, Marco Falcone, Giusy Tiseo, Mario Tumbarello, Francesca Raffaelli, Edson Abdala, Marta Bodro, Elena Gervasi, María Carmen Fariñas, Elena M. Seminari, Juan José Castón, Juan Antonio Marín-Sanz, Víctor Gálvez-Soto, Meenakshi M. Rana, Belén Loeches, Pilar Martín-Dávila, Álvaro Pascual, Jesús Rodríguez-Baño, José María Aguado, Luis Martínez-Martínez, Julián Torre-Cisneros, Mical Paul, Jordi Carratala, Isabel Oriol, Regino José Rodríguez-Álvarez, Elisa Cordero, José Antonio Lepe, Esperanza Merino de Lucas, Patricia Muñoz, Jesús Fortún, Julien Coussement, Laurent Dewispelaere, Britt Marie Eriksson, Christian van Delden, Oriol Manuel, Wanessa T. Clemente, Tania Mara Varejão Strabelli, Benoit Pilmis, Emmanuel Roilides, Iyer Ranganathan N, Paolo A. Grossi, Fabio Soldani, Marco Rizzi, Ban Hock Tan, Warren Lowman, Filiz Gunseren, Hande Arslan, Zeliha Koçak Tufan, Esra Kazak, Miruna D. David, Seema Mehta Steinke, Darin Ostrander, Robin Avery, Erika D. Lease
Publikováno v:
American Journal of Transplantation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1699d2e9942b19ce35e570daee298967
https://doi.org/10.1016/j.ajt.2023.03.011
https://doi.org/10.1016/j.ajt.2023.03.011
Publikováno v:
Cells, Vol 10, Iss 1, p 113 (2021)
Pathogenic processes underlying Alzheimer’s disease (AD) affect synaptic function from initial asymptomatic stages, long time before the onset of cognitive decline and neurodegeneration. Therefore, reliable biomarkers enabling early AD diagnosis an
Externí odkaz:
https://doaj.org/article/9e5cca83b7bb40a9965b2609e2f9ca59
Publikováno v:
Applied Sciences, Vol 10, Iss 22, p 8298 (2020)
This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances in computer-aided diagnosis/detection (CAD) systems, which mak
Externí odkaz:
https://doaj.org/article/1e800336516b4d1f958e56715978984f