Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Juan Manuel, Górriz"'
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 5, Pp 1043-1077 (2024)
Abstract Counting high‐density objects quickly and accurately is a popular area of research. Crowd counting has significant social and economic value and is a major focus in artificial intelligence. Despite many advancements in this field, many of
Externí odkaz:
https://doaj.org/article/057aea5a5cea4fe680de8447ea22ca19
Autor:
Yu‐Dong Zhang, Juan Manuel Górriz
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 787-789 (2024)
Externí odkaz:
https://doaj.org/article/a496416cb9ed4201879337b26d2b3f73
Autor:
Schönecker, Sonja, Martinez-Murcia, Francisco J., Denecke, Jannis, Franzmeier, Nicolai, Danek, Adrian, Wagemann, Olivia, Prix, Catharina, Wlasich, Elisabeth, Vöglein, Jonathan, Loosli, Sandra V., Brauer, Anna, Sáez, Juan-Manuel Górriz, Bouzigues, Arabella, Russell, Lucy L., Foster, Phoebe H., Ferry-Bolder, Eve, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Sanchez-Valle, Raquel
Publikováno v:
Neurology; 10/22/2024, Vol. 103 Issue 8, p1-17, 17p
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2022)
Aims: Most blood diseases, such as chronic anemia, leukemia (commonly known as blood cancer), and hematopoietic dysfunction, are caused by environmental pollution, substandard decoration materials, radiation exposure, and long-term use certain drugs.
Externí odkaz:
https://doaj.org/article/0bbe83de1eca450aa5cc52b5eab1cc5f
Akademický článek
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Publikováno v:
Biology, Vol 11, Iss 1, p 134 (2022)
As an important imaging modality, mammography is considered to be the global gold standard for early detection of breast cancer. Computer-Aided (CAD) systems have played a crucial role in facilitating quicker diagnostic procedures, which otherwise co
Externí odkaz:
https://doaj.org/article/e23c8d825fef4d5895e608c87a339e91
Guest Editorial Special Issue on Explainable Deep Learning for Medical Image Processing and Analysis
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 7:2-4
Autor:
Juan Manuel Górriz, I. Álvarez-Illán, A. Álvarez-Marquina, J.E. Arcoa, M. Atzmueller, F. Ballarini, E. Barakova, G. Bologna, P. Bonomini, G. Castellanos-Dominguez, D. Castillo-Barnes, S.B. Cho, R. Contreras, J.M. Cuadra, E. Domínguez, F. Domínguez-Mateos, R.J. Duro, D. Elizondo, A. Fernández-Caballero, E. Fernandez-Jover, M.A. Formoso, N.J. Gallego-Molina, J. Gamazo, J. García González, J. Garcia-Rodriguez, C. Garre, J. Garrigós, A. Gómez-Rodellar, P. Gómez-Vilda, M. Graña, B. Guerrero-Rodriguez, S. C. F. Hendrikse, C. Jimenez-Mesa, M. Jodra-Chuan, V. Julian, G. Kotz, K. Kutt, M. Leming, J. de Lope, B. Macas, V. Marrero-Aguiar, J.J. Martinez, F.J. Martinez-Murcia, R. Martínez-Tomás, J. Mekyska, G.J. Nalepa, P. Novais, D. Orellana, A. Ortiz, D. Palacios-Alonso, J. Palma, A. Pereira, P. Pinacho-Davidson, M.A. Pinninghof, M. Ponticorvo, A. Psarrou, J. Ramírez, M. Rincón, V. Rodellar-Biarge, I. Rodríguez-Rodríguez, P. H.M.P. Roelofsma, J. Santos, D. Salas-Gonzalez, P. Salcedo-Lagos, F. Segovia, A. Shoeibi, M. Silva, D. Simic, J. Suckling, J. Treur, Athanasios Tsanas, R. Varela, SH. Wang, W. Wang, YD. Zhang, H. Zhu, Z. Zhu, J.M. Ferrández-Vicente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa0dce7cf1bbf1d430553448fd9dbf44
https://doi.org/10.2139/ssrn.4415369
https://doi.org/10.2139/ssrn.4415369
Autor:
Juan Manuel Górriz, Yudong Zhang, Ivan Tyukin, Xiang Yu, Shuihua Wang, M. Emre Celebi, Xujing Yao, Martínez-García Miguel, Yingli Tian, Qinghua Zhou, Siyuan Lu
Publikováno v:
Information Fusion. 76:376-421
Due to the proliferation of biomedical imaging modalities, such as Photoacoustic Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc., massive amounts of data are generated on a daily basis. While massive biomedical data sets
Publikováno v:
International Journal of Intelligent Systems
COVID-19 pneumonia started in December 2019 and caused large casualties and huge economic losses. In this study, we intended to develop a computer-aided diagnosis system based on artificial intelligence to automatically identify the COVID-19 in chest