Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Eufemia Lella"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Recent advances in deep learning and imaging technologies have revolutionized automated medical image analysis, especially in diagnosing Alzheimer’s disease through neuroimaging. Despite the availability of various imaging modalities for t
Externí odkaz:
https://doaj.org/article/ab279620cc5a40c9ab98cc22c35bbc75
Autor:
Eufemia Lella, Giovanni Schmid
Publikováno v:
Cryptography, Vol 7, Iss 4, p 53 (2023)
The main purpose of a quantum key distribution network is to provide secret keys to any users or applications requiring a high level of security, ideally such as to offer the best protection against any computational attack, even of a quantum nature.
Externí odkaz:
https://doaj.org/article/ee3070f249fa46bc9075904bfef8a927
Autor:
Eufemia Lella, Ernesto Estrada
Publikováno v:
Network Neuroscience, Vol 4, Iss 4, Pp 1007-1029 (2020)
AbstractThe communicability distance between pairs of regions in human brain is used as a quantitative proxy for studying Alzheimer’s disease. Using this distance, we obtain the shortest communicability path lengths between different regions of bra
Externí odkaz:
https://doaj.org/article/1dc615083510461180c361d4bded60f9
Autor:
Nicola Amoroso, Marianna La Rocca, Loredana Bellantuono, Domenico Diacono, Annarita Fanizzi, Eufemia Lella, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Publikováno v:
Frontiers in Aging Neuroscience, Vol 11 (2019)
Recent works have extensively investigated the possibility to predict brain aging from T1-weighted MRI brain scans. The main purposes of these studies are the investigation of subject-specific aging mechanisms and the development of accurate models f
Externí odkaz:
https://doaj.org/article/467b41c8264048f89499cf4d23dfec44
Autor:
Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Eufemia Lella, Angela Lombardi, Anna Monda, Andrea Tateo, Roberto Bellotti, Sabina Tangaro
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0226190 (2019)
Alzheimer's disease (AD) is the most common type of dementia and affects millions of people worldwide. Since complex diseases are often the result of combinations of gene interactions, microarray data and gene co-expression analysis can provide tools
Externí odkaz:
https://doaj.org/article/89ebd1f88c934db5869af794ecfef19d
Autor:
Eufemia Lella, Angela Lombardi, Nicola Amoroso, Domenico Diacono, Tommaso Maggipinto, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 934 (2020)
Signal processing and machine learning techniques are changing the clinical practice based on medical imaging from many perspectives. A major topic is related to (i) the development of computer aided diagnosis systems to provide clinicians with novel
Externí odkaz:
https://doaj.org/article/0861c5c83d6f4a33bcd852a1fc49e38a
Autor:
Eufemia Lella, Nicola Amoroso, Domenico Diacono, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Publikováno v:
Entropy, Vol 21, Iss 5, p 475 (2019)
In this paper, we investigate the connectivity alterations of the subcortical brain network due to Alzheimer’s disease (AD). Mostly, the literature investigated AD connectivity abnormalities at the whole brain level or at the cortex level, while ve
Externí odkaz:
https://doaj.org/article/a133dcb81ffd4e1597f6ddf6d6f05026
Autor:
Eufemia Lella, Alberto Gatto, Andrea Pazienza, Diego Romano, Pietro Noviello, Felice Vitulano, Giovanni Schmid
Publikováno v:
2022 IEEE 15th Workshop on Low Temperature Electronics (WOLTE).
Publikováno v:
2022 IEEE 15th Workshop on Low Temperature Electronics (WOLTE).