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Rachael Garner

Showing results (1-10 of 27) with videos related to

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Computer Methods and Programs in Biomedicine|January 9, 2022
Unsupervised seizure identification on EEGİlkay Yıldız, Rachael Garner, Matthew Lai, et al.
British Journal of Nursing (Mark Allen Publishing)|February 22, 2024
ASPIRE: a beacon of innovationEmma Dillon, Emma Swain, Nicky Peasnell, et al.
Expert Systems with Applications|January 25, 2022
Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CTAksh Garg, Sana Salehi, Marianna La Rocca, et al.
Future Virology|July 5, 2022
Molecular and antigen tests, and sample types for diagnosis of COVID-19: a reviewYujia Zhang, Rachael Garner, Sana Salehi, et al.
Current Medical Imaging|June 21, 2022
Key Radiological Features of COVID-19 Chest CT Scans with a Focus on Special Subgroups: A Literature ReviewNoor Nouaili, Rachael Garner, Sana Salehi, et al.
Annals of Hematology|March 9, 2021
Association between ABO blood types and coronavirus disease 2019 (COVID-19), genetic associations, and underlying molecular mechanisms: a literature review of 23 studiesYujia Zhang, Rachael Garner, Sana Salehi, et al.
Signal, Image and Video Processing|April 4, 2022
A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung AbnormalitiesAzrin Khan, Rachael Garner, Marianna La Rocca, et al.
Journal of Public Health (Oxford, England)|August 24, 2021
Post-lockdown infection rates of COVID-19 following the reopening of public businessesAlexander Bruckhaus, Aubrey Martinez, Rachael Garner, et al.
Spring Simulation Conference (Springsim)|December 21, 2022
A MACHINE LEARNING MODEL TO PREDICT SEIZURE SUSCEPTIBILITY FROM RESTING-STATE FMRI CONNECTIVITYRachael Garner, Marianna La Rocca, Giuseppe Barisano, et al.
Scientific Data|February 9, 2023
Data Archive for the BRAIN Initiative (DABI)Dominique Duncan, Rachael Garner, Sarah Brinkerhoff, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

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Pageof 3
Computer Methods and Programs in Biomedicine|January 9, 2022
Unsupervised seizure identification on EEGİlkay Yıldız, Rachael Garner, Matthew Lai, et al.
British Journal of Nursing (Mark Allen Publishing)|February 22, 2024
ASPIRE: a beacon of innovationEmma Dillon, Emma Swain, Nicky Peasnell, et al.
Expert Systems with Applications|January 25, 2022
Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CTAksh Garg, Sana Salehi, Marianna La Rocca, et al.
Future Virology|July 5, 2022
Molecular and antigen tests, and sample types for diagnosis of COVID-19: a reviewYujia Zhang, Rachael Garner, Sana Salehi, et al.
Current Medical Imaging|June 21, 2022
Key Radiological Features of COVID-19 Chest CT Scans with a Focus on Special Subgroups: A Literature ReviewNoor Nouaili, Rachael Garner, Sana Salehi, et al.
Annals of Hematology|March 9, 2021
Association between ABO blood types and coronavirus disease 2019 (COVID-19), genetic associations, and underlying molecular mechanisms: a literature review of 23 studiesYujia Zhang, Rachael Garner, Sana Salehi, et al.
Signal, Image and Video Processing|April 4, 2022
A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung AbnormalitiesAzrin Khan, Rachael Garner, Marianna La Rocca, et al.
Journal of Public Health (Oxford, England)|August 24, 2021
Post-lockdown infection rates of COVID-19 following the reopening of public businessesAlexander Bruckhaus, Aubrey Martinez, Rachael Garner, et al.
Spring Simulation Conference (Springsim)|December 21, 2022
A MACHINE LEARNING MODEL TO PREDICT SEIZURE SUSCEPTIBILITY FROM RESTING-STATE FMRI CONNECTIVITYRachael Garner, Marianna La Rocca, Giuseppe Barisano, et al.
Scientific Data|February 9, 2023
Data Archive for the BRAIN Initiative (DABI)Dominique Duncan, Rachael Garner, Sarah Brinkerhoff, et al.
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