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D PRESSMAN

Showing results (141-150 of 146) with videos related to

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Metabolism: Clinical and Experimental|November 22, 2020
Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19Kajetan Grodecki, Andrew Lin, Aryabod Razipour, et al.
Arxiv|April 6, 2021
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networksKajetan Grodecki, Aditya Killekar, Andrew Lin, et al.
American Journal of Medical Genetics. Part A|November 15, 2007
Neuroimaging findings in macrocephaly-capillary malformation: a longitudinal study of 17 patientsRobert L Conway, Barry D Pressman, William B Dobyns, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 12, 2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networksAditya Killekar, Kajetan Grodecki, Andrew Lin, et al.
The British Journal of Radiology|June 13, 2023
Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systemsKajetan Grodecki, Aditya Killekar, Judit Simon, et al.
Nature Human Behaviour|October 20, 2022
A multi-lab test of the facial feedback hypothesis by the Many Smiles CollaborationNicholas A Coles, David S March, Fernando Marmolejo-Ramos, et al.
Pageof 15

Showing results (141-150 of 146) with videos related to

Sort By:
Pageof 15
You have reached the last page of results.This site can display upto 146 results.
Metabolism: Clinical and Experimental|November 22, 2020
Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19Kajetan Grodecki, Andrew Lin, Aryabod Razipour, et al.
Arxiv|April 6, 2021
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networksKajetan Grodecki, Aditya Killekar, Andrew Lin, et al.
American Journal of Medical Genetics. Part A|November 15, 2007
Neuroimaging findings in macrocephaly-capillary malformation: a longitudinal study of 17 patientsRobert L Conway, Barry D Pressman, William B Dobyns, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 12, 2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networksAditya Killekar, Kajetan Grodecki, Andrew Lin, et al.
The British Journal of Radiology|June 13, 2023
Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systemsKajetan Grodecki, Aditya Killekar, Judit Simon, et al.
Nature Human Behaviour|October 20, 2022
A multi-lab test of the facial feedback hypothesis by the Many Smiles CollaborationNicholas A Coles, David S March, Fernando Marmolejo-Ramos, et al.
Pageof 15