Zobrazeno 1 - 10
of 587
pro vyhledávání: '"Georgescu Bogdan"'
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
Autor:
Chaganti, Shikha, Balachandran, Abishek, Chabin, Guillaume, Cohen, Stuart, Flohr, Thomas, Georgescu, Bogdan, Grenier, Philippe, Grbic, Sasa, Liu, Siqi, Mellot, François, Murray, Nicolas, Nicolaou, Savvas, Parker, William, Re, Thomas, Sanelli, Pina, Sauter, Alexander W., Xu, Zhoubing, Yoo, Youngjin, Ziebandt, Valentin, Comaniciu, Dorin
Publikováno v:
Radiology: Artificial Intelligence, Vol. 2, No. 4, 2020
Purpose: To present a method that automatically segments and quantifies abnormal CT patterns commonly present in coronavirus disease 2019 (COVID-19), namely ground glass opacities and consolidations. Materials and Methods: In this retrospective study
Externí odkaz:
http://arxiv.org/abs/2004.01279
Autor:
Liu, Siqi, Setio, Arnaud Arindra Adiyoso, Ghesu, Florin C., Gibson, Eli, Grbic, Sasa, Georgescu, Bogdan, Comaniciu, Dorin
Detecting malignant pulmonary nodules at an early stage can allow medical interventions which may increase the survival rate of lung cancer patients. Using computer vision techniques to detect nodules can improve the sensitivity and the speed of inte
Externí odkaz:
http://arxiv.org/abs/2003.03824
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