Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Przeglądasz jako GOŚĆ

Wyszukujesz frazę ""Homayounieh F"" wg kryterium: Autor


Tytuł :
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
Autorzy :
Gong K; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Wu D; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Arru CD; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Homayounieh F; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Neumark N; MGH & BWH Center for Clinical Data Science, Boston, United States.
Guan J; Nvidia, Boston, United States.
Buch V; MGH & BWH Center for Clinical Data Science, Boston, United States.
Kim K; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Bizzo BC; MGH & BWH Center for Clinical Data Science, Boston, United States.
Ren H; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Tak WY; Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Park SY; Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Lee YR; Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Kang MK; Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea.
Park JG; Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea.
Carriero A; Radiologia, Azienda Ospedaliera Universitaria Maggiore della Carità, Novara, Italy.
Saba L; Radiologia, Azienda Ospedaliera Universitaria Policlinico di Monserrato, Italy.
Masjedi M; Department of Radiology, Kashan University of Medical Sciences, Kashan, Iran.
Talari H; Department of Radiology, Kashan University of Medical Sciences, Kashan, Iran.
Babaei R; Department of Radiology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Mobin HK; Department of Radiology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Ebrahimian S; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Guo N; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Digumarthy SR; Department of Radiology, Massachusetts General Hospital, Boston, United States.
Dayan I; MGH & BWH Center for Clinical Data Science, Boston, United States.
Kalra MK; Department of Radiology, Massachusetts General Hospital, Boston, United States. Electronic address: .
Li Q; Department of Radiology, Massachusetts General Hospital, Boston, United States. Electronic address: .
Pokaż więcej
Źródło :
European journal of radiology [Eur J Radiol] 2021 Jun; Vol. 139, pp. 109583. Date of Electronic Publication: 2021 Feb 05.
Typ publikacji :
Journal Article; Multicenter Study
MeSH Terms :
COVID-19*
Deep Learning*
Electronic Health Records ; Humans ; Lung ; Prognosis ; SARS-CoV-2 ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł :
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography.
Autorzy :
Chao H; Department of Biomedical Engineering, Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY, USA.
Shan H; Department of Biomedical Engineering, Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY, USA.
Homayounieh F; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Singh R; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Khera RD; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Guo H; Department of Biomedical Engineering, Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY, USA.
Su T; Niskayuna High School, Niskayuna, NY, USA.
Wang G; Department of Biomedical Engineering, Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY, USA. .
Kalra MK; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .
Yan P; Department of Biomedical Engineering, Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY, USA. .
Pokaż więcej
Źródło :
Nature communications [Nat Commun] 2021 May 20; Vol. 12 (1), pp. 2963. Date of Electronic Publication: 2021 May 20.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Validation Study
MeSH Terms :
Deep Learning*
Cardiovascular Diseases/*epidemiology
Image Processing, Computer-Assisted/*methods
Lung Neoplasms/*diagnosis
Mass Screening/*statistics & numerical data
Adult ; Aged ; Aged, 80 and over ; Cardiovascular Diseases/diagnosis ; Cardiovascular Diseases/etiology ; Clinical Trials as Topic ; Coronary Vessels/diagnostic imaging ; Datasets as Topic ; Electrocardiography ; Female ; Follow-Up Studies ; Humans ; Lung/diagnostic imaging ; Lung Neoplasms/complications ; Male ; Mass Screening/methods ; Middle Aged ; ROC Curve ; Retrospective Studies ; Risk Assessment/methods ; Risk Assessment/statistics & numerical data ; Risk Factors ; Tomography, X-Ray Computed/statistics & numerical data
Czasopismo naukowe

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies