Zobrazeno 1 - 10
of 4 029
pro vyhledávání: '"Bino, A."'
Autor:
Lan, Haoyu, Varghese, Bino A., Sheikh-Bahaei, Nasim, Sepehrband, Farshid, Toga, Arthur W, Choupan, Jeiran
Multi-center neuroimaging studies face technical variability due to batch differences across sites, which potentially hinders data aggregation and impacts study reliability.Recent efforts in neuroimaging harmonization have aimed to minimize these tec
Externí odkaz:
http://arxiv.org/abs/2409.00807
Publikováno v:
Universe 2024, 10(5), 218
An hourglass-shaped magnetic field pattern arises naturally from the gravitational collapse of a star-forming gas cloud. Most studies have focused on the prestellar collapse phase, when the structure has a smooth and monotonic radial profile. However
Externí odkaz:
http://arxiv.org/abs/2405.11069
Energy efficiency of electronic digital processors is primarily limited by the energy consumption of electronic communication and interconnects. The industry is almost unanimously pushing towards replacing both long-haul, as well as local chip interc
Externí odkaz:
http://arxiv.org/abs/2403.00045
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-42 (2024)
Abstract Medical imaging datasets for research are frequently collected from multiple imaging centers using different scanners, protocols, and settings. These variations affect data consistency and compatibility across different sources. Image harmon
Externí odkaz:
https://doaj.org/article/768cdcb1b9ed405696167512dce7ca97
Autor:
Bino, Gianfranco, Basu, Shantanu, Dey, Ramit, Auddy, Sayantan, Muller, Lyle, Vorobyov, Eduard I.
Publikováno v:
Open Journal of Astrophysics, Vol. 6, 2023
Modeling the dynamics of the formation and evolution of protostellar disks as well as the history of stellar mass accretion typically involve the numerical solution of complex systems of coupled differential equations. The resulting mass accretion hi
Externí odkaz:
http://arxiv.org/abs/2302.03742
Autor:
Shruti Bhardwaj, Bino Paul
Publikováno v:
Asia Pacific Journal of Health Management (2024)
International migration of health human resources (HHR) from low- and middle-income (LMIC) countries to high-income countries has been addressed on several international platforms since the late 1990s. World Health Organization (WHO) adopted the WHO
Externí odkaz:
https://doaj.org/article/bb876fabc4c84043a2af9950d9432cd8
Autor:
Andrew Cirincione, Kirsten Lynch, Jamie Bennett, Jeiran Choupan, Bino Varghese, Nasim Sheikh-Bahaei, Gaurav Pandey
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36728- (2024)
Efficiently and objectively analyzing the complex, diverse multimodal data collected from patients at risk for dementia can be difficult in the clinical setting, contributing to high rates of underdiagnosis or misdiagnosis of this serious disorder. P
Externí odkaz:
https://doaj.org/article/ed1ba3080a4b4c4ba4c396498ac5a1ed
Autor:
Paniz Sabeghi, Ketki K. Kinkar, Gloria del Rosario Castaneda, Liesl S. Eibschutz, Brandon K. K. Fields, Bino A. Varghese, Dakshesh B. Patel, Ali Gholamrezanezhad
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
Recent advancements in artificial intelligence (AI) and machine learning offer numerous opportunities in musculoskeletal radiology to potentially bolster diagnostic accuracy, workflow efficiency, and predictive modeling. AI tools have the capability
Externí odkaz:
https://doaj.org/article/b5cdfcf8b8754515949946e6e7fa8175
Autor:
Sun, Zhaoyue, Li, Jiazheng, Pergola, Gabriele, Wallace, Byron C., John, Bino, Greene, Nigel, Kim, Joseph, He, Yulan
The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimately improve public health. Evaluating and monitoring drug safety (i.e.,
Externí odkaz:
http://arxiv.org/abs/2210.12560
Predicting drug-target interaction is key for drug discovery. Recent deep learning-based methods show promising performance but two challenges remain: (i) how to explicitly model and learn local interactions between drugs and targets for better predi
Externí odkaz:
http://arxiv.org/abs/2208.02194