Zobrazeno 1 - 10
of 458
pro vyhledávání: '"Georgescu Bogdan"'
Publikováno v:
Scientific Bulletin, Vol 24, Iss 2, Pp 139-144 (2019)
Incidents with IEDs containing metallic elements in the vicinity of the explosive substance pose a high degree of risk, endangering safety, peace and public order. In such situations, the methods and procedures applied as response by the authorities
Externí odkaz:
https://doaj.org/article/e910c239b7044735bd7be1b5f2a13f38
Autor:
Georgescu Bogdan, Struți Dănuț Ioan, Șuteu Mihai, Moldovan Lavinia Elena, Moldovan Dorin Vasile, Boaru Anca Mihaela
Publikováno v:
Insects, Vol 13, Iss 7, p 611 (2022)
The industrial rearing of Hermetia illucens offers sustainable solutions to the acute challenges of modern society associated with the accumulation of increasing amounts of organic waste, the substantial reduction of natural ocean fish stocks, and th
Externí odkaz:
https://doaj.org/article/7768303807ad43648c138161d906638c
Autor:
Georgescu Bogdan, Dănuț Ioan Struți, Nicușor Flavius Sima, Tudor Andrei Păpuc, Boaru Anca Mihaela
Publikováno v:
Insects, Vol 13, Iss 1, p 17 (2021)
The significant momentum received by Hermetia illucens as a worldwide species is due to its biological traits and large applicability in scientific research, environmental entomoremediation, insect meal production, and for biodiesel yield. The aim of
Externí odkaz:
https://doaj.org/article/64f9e0809c5d41ba9526558ea19e9021
Autor:
Danu, Manuela Daniela, Marica, George, Karn, Sanjeev Kumar, Georgescu, Bogdan, Mansoor, Awais, Ghesu, Florin, Itu, Lucian Mihai, Suciu, Constantin, Grbic, Sasa, Farri, Oladimeji, Comaniciu, Dorin
Publikováno v:
Information Technology and Quantitative Management (ITQM 2023
Among all the sub-sections in a typical radiology report, the Clinical Indications, Findings, and Impression often reflect important details about the health status of a patient. The information included in Impression is also often covered in Finding
Externí odkaz:
http://arxiv.org/abs/2306.10448
Autor:
Mansoor, Awais, Schmuecking, Ingo, Ghesu, Florin C., Georgescu, Bogdan, Grbic, Sasa, Vishwanath, R.S., Farri, Oladimeji, Ghosh, Rikhiya, Vunikili, Ramya, Zimmermann, Mathis, Sutcliffe, James, Mendelsohn, Steven L., Comaniciu, Dorin, Gefter, Warren B.
Publikováno v:
In Academic Radiology December 2024 31(12):5300-5313
Autor:
Ghesu, Florin C., Georgescu, Bogdan, Mansoor, Awais, Yoo, Youngjin, Neumann, Dominik, Patel, Pragneshkumar, Vishwanath, R. S., Balter, James M., Cao, Yue, Grbic, Sasa, Comaniciu, Dorin
Building accurate and robust artificial intelligence systems for medical image assessment requires not only the research and design of advanced deep learning models but also the creation of large and curated sets of annotated training examples. Const
Externí odkaz:
http://arxiv.org/abs/2201.01283
Autor:
Gündel, Sebastian, Setio, Arnaud A. A., Ghesu, Florin C., Grbic, Sasa, Georgescu, Bogdan, Maier, Andreas, Comaniciu, Dorin
Chest radiography is the most common radiographic examination performed in daily clinical practice for the detection of various heart and lung abnormalities. The large amount of data to be read and reported, with more than 100 studies per day for a s
Externí odkaz:
http://arxiv.org/abs/2104.05261
Autor:
Ghesu, Florin C., Georgescu, Bogdan, Mansoor, Awais, Yoo, Youngjin, Gibson, Eli, Vishwanath, R. S., Balachandran, Abishek, Balter, James M., Cao, Yue, Singh, Ramandeep, Digumarthy, Subba R., Kalra, Mannudeep K., Grbic, Sasa, Comaniciu, Dorin
The interpretation of medical images is a challenging task, often complicated by the presence of artifacts, occlusions, limited contrast and more. Most notable is the case of chest radiography, where there is a high inter-rater variability in the det
Externí odkaz:
http://arxiv.org/abs/2007.04258
Autor:
Barbosa Jr., Eduardo Jose Mortani, Georgescu, Bogdan, Chaganti, Shikha, Aleman, Gorka Bastarrika, Cabrero, Jordi Broncano, Chabin, Guillaume, Flohr, Thomas, Grenier, Philippe, Grbic, Sasa, Gupta, Nakul, Mellot, François, Nicolaou, Savvas, Re, Thomas, Sanelli, Pina, Sauter, Alexander W., Yoo, Youngjin, Ziebandt, Valentin, Comaniciu, Dorin
Objectives: To investigate machine-learning classifiers and interpretable models using chest CT for detection of COVID-19 and differentiation from other pneumonias, ILD and normal CTs. Methods: Our retrospective multi-institutional study obtained 209
Externí odkaz:
http://arxiv.org/abs/2006.04998
Autor:
Liu, Siqi, Georgescu, Bogdan, Xu, Zhoubing, Yoo, Youngjin, Chabin, Guillaume, Chaganti, Shikha, Grbic, Sasa, Piat, Sebastian, Teixeira, Brian, Balachandran, Abishek, RS, Vishwanath, Re, Thomas, Comaniciu, Dorin
The Coronavirus Disease (COVID-19) has affected 1.8 million people and resulted in more than 110,000 deaths as of April 12, 2020. Several studies have shown that tomographic patterns seen on chest Computed Tomography (CT), such as ground-glass opacit
Externí odkaz:
http://arxiv.org/abs/2005.01903