Zobrazeno 1 - 10
of 209
pro vyhledávání: '"Andrea Cherubini"'
Autor:
Carlo Biffi, Giulio Antonelli, Sebastian Bernhofer, Cesare Hassan, Daizen Hirata, Mineo Iwatate, Andreas Maieron, Pietro Salvagnini, Andrea Cherubini
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent evidence suggests that AI-based computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems can enhance endoscopists' performance and boo
Externí odkaz:
https://doaj.org/article/cb631484f61d442e82a7eb433b107df7
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundEnsuring accurate polyp detection during colonoscopy is essential for preventing colorectal cancer (CRC). Recent advances in deep learning-based computer-aided detection (CADe) systems have shown promise in enhancing endoscopists’ perform
Externí odkaz:
https://doaj.org/article/bc71ab0a20ff410586088453eb32c2e5
Autor:
Alessio Silvetti, Tiwana Varrecchia, Giorgia Chini, Sonny Tarbouriech, Benjamin Navarro, Andrea Cherubini, Francesco Draicchio, Alberto Ranavolo
Publikováno v:
Safety, Vol 10, Iss 3, p 78 (2024)
In the Industry 4.0 scenario, human–robot collaboration (HRC) plays a key role in factories to reduce costs, increase production, and help aged and/or sick workers maintain their job. The approaches of the ISO 11228 series commonly used for biomech
Externí odkaz:
https://doaj.org/article/2656ee663a80473faee6192dc583b055
Autor:
Carlo Reverberi, Tommaso Rigon, Aldo Solari, Cesare Hassan, Paolo Cherubini, GI Genius CADx Study Group, Andrea Cherubini
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Artificial Intelligence (ai) systems are precious support for decision-making, with many applications also in the medical domain. The interaction between mds and ai enjoys a renewed interest following the increased possibilities of deep lear
Externí odkaz:
https://doaj.org/article/19f77efcf5f14a58b644e0ef75cb0cc0
Autor:
Carlo Biffi, Pietro Salvagnini, Nhan Ngo Dinh, Cesare Hassan, Prateek Sharma, GI Genius CADx Study Group, Andrea Cherubini
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract Accurate in-vivo optical characterization of colorectal polyps is key to select the optimal treatment regimen during colonoscopy. However, reported accuracies vary widely among endoscopists. We developed a novel intelligent medical device ab
Externí odkaz:
https://doaj.org/article/ed4d822ebac94c70a6dbb4e626ff3565
Autor:
Andrea Cherubini, Benjamin Navarro, Robin Passama, Sonny Tarbouriech, Shirley A Elprama, An Jacobs, Susanne Niehaus, Sascha Wischniewski, Freek J Tönis, Pim L Siahaya, Giorgia Chini, Tiwana Varrecchia, Alberto Ranavolo
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0291410 (2023)
Collaborative Robots-CoBots-are emerging as a promising technological aid for workers. To date, most CoBots merely share their workspace or collaborate without contact, with their human partners. We claim that robots would be much more beneficial if
Externí odkaz:
https://doaj.org/article/de6a995dcf44454f8cdd0b31a6ee97d8
Autor:
Andrea Cherubini, Nhan Ngo Dinh
Publikováno v:
Bioengineering, Vol 10, Iss 4, p 404 (2023)
Artificial intelligence (AI) has the potential to assist in endoscopy and improve decision making, particularly in situations where humans may make inconsistent judgments. The performance assessment of the medical devices operating in this context is
Externí odkaz:
https://doaj.org/article/ab7fbbc9b7474a52b850595d99429d5a
Autor:
Carlo Biffi, Pietro Salvagnini, Nhan Ngo Dinh, Cesare Hassan, Prateek Sharma, GI Genius CADx Study Group, Andrea Cherubini
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/53924109986a48a49b231ad120b88dc7
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2021)
The objective of this paper is to present a systematic review of existing sensor-based control methodologies for applications that involve direct interaction between humans and robots, in the form of either physical collaboration or safe coexistence.
Externí odkaz:
https://doaj.org/article/b48bda46fc5a4af2af7df1bdfba09bd1
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
In this article, we present a new scheme that approximates unknown sensorimotor models of robots by using feedback signals only. The formulation of the uncalibrated sensor-based regulation problem is first formulated, then, we develop a computational
Externí odkaz:
https://doaj.org/article/319e9038d76942f4a370837c08f40f21