Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Tangherloni A"'
Publikováno v:
Expert Systems with Applications, Volume 189, 2022, 116029
In the crowded environment of bio-inspired population-based metaheuristics, the Salp Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of momentum. Inspired by the peculiar spatial arrangement of salp colonies, which a
Externí odkaz:
http://arxiv.org/abs/2106.01900
Publikováno v:
In Journal of Biomedical Informatics November 2023 147
Autor:
Rundo, Leonardo, Han, Changhee, Nagano, Yudai, Zhang, Jin, Hataya, Ryuichiro, Militello, Carmelo, Tangherloni, Andrea, Nobile, Marco S., Ferretti, Claudio, Besozzi, Daniela, Gilardi, Maria Carla, Vitabile, Salvatore, Mauri, Giancarlo, Nakayama, Hideki, Cazzaniga, Paolo
Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, the capability to differentiate between the blurry boundary of the Centr
Externí odkaz:
http://arxiv.org/abs/1904.08254
Autor:
Rundo, Leonardo, Han, Changhee, Zhang, Jin, Hataya, Ryuichiro, Nagano, Yudai, Militello, Carmelo, Ferretti, Claudio, Nobile, Marco S., Tangherloni, Andrea, Gilardi, Maria Carla, Vitabile, Salvatore, Nakayama, Hideki, Mauri, Giancarlo
Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric Magnetic Resonance Imaging (MRI), which provides both morphologic and functional information pertaining to
Externí odkaz:
http://arxiv.org/abs/1903.12571
Autor:
Tangherloni, Andrea, Spolaor, Simone, Rundo, Leonardo, Nobile, Marco S., Cazzaniga, Paolo, Mauri, Giancarlo, Liò, Pietro, Merelli, Ivan, Besozzi, Daniela
The computational problem of inferring the full haplotype of a cell starting from read sequencing data is known as haplotype assembly, and consists in assigning all heterozygous Single Nucleotide Polymorphisms (SNPs) to exactly one of the two chromos
Externí odkaz:
http://arxiv.org/abs/1812.07689
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-27 (2021)
Abstract Background Single-cell RNA sequencing (scRNA-Seq) experiments are gaining ground to study the molecular processes that drive normal development as well as the onset of different pathologies. Finding an effective and efficient low-dimensional
Externí odkaz:
https://doaj.org/article/6cfd60949cd545a880f11a39b1f215b0
Autor:
Andrea Tangherloni, Marco S Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009410 (2021)
Mathematical models of biochemical networks can largely facilitate the comprehension of the mechanisms at the basis of cellular processes, as well as the formulation of hypotheses that can be tested by means of targeted laboratory experiments. Howeve
Externí odkaz:
https://doaj.org/article/c68e42988e454d1fb93c38388c684beb
Autor:
Tangherloni, Andrea, Spolaor, Simone, Cazzaniga, Paolo, Besozzi, Daniela, Rundo, Leonardo, Mauri, Giancarlo, Nobile, Marco S.
Publikováno v:
In Applied Soft Computing Journal August 2019 81
Autor:
Rundo, Leonardo, Tangherloni, Andrea, Cazzaniga, Paolo, Nobile, Marco S., Russo, Giorgio, Gilardi, Maria Carla, Vitabile, Salvatore, Mauri, Giancarlo, Besozzi, Daniela, Militello, Carmelo
Publikováno v:
In Computer Methods and Programs in Biomedicine July 2019 176:159-172
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9052 (2022)
The Special Issue “Artificial Intelligence Applied to Medical Imaging and Computational Biology” of the Applied Sciences Journal has been curated from February 2021 to May 2022, which covered the state-of-the-art and novel algorithms and applicat
Externí odkaz:
https://doaj.org/article/674d8e063b3d48a9aeb3bef8357f4fc5