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Scientific Data
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January 4, 2024
Enrichment of lung cancer computed tomography collections with AI-derived annotations
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, et al.
Military Medicine
|
March 10, 2015
Quantifying white matter structural integrity with high-definition fiber tracking in traumatic brain injury
Nora Presson, Deepa Krishnaswamy, Lauren Wagener, et al.
Informatics in Medicine Unlocked
|
August 9, 2021
Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19
Salehe Erfanian Ebadi, Deepa Krishnaswamy, Seyed Ehsan Seyed Bolouri, et al.
Nature Communications
|
August 13, 2024
End-to-end reproducible AI pipelines in radiology using the cloud
Dennis Bontempi, Leonard Nuernberg, Suraj Pai, et al.
Journal of Neurophysiology
|
July 29, 2016
Magnetoencephalography-based identification of functional connectivity network disruption following mild traumatic brain injury
Ahmad Alhourani, Thomas A Wozny, Deepa Krishnaswamy, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
April 8, 2026
In search of truth: evaluating concordance of AI-based anatomy segmentation models
Lena Giebeler, Deepa Krishnaswamy, David Clunie, et al.
Brain Imaging and Behavior
|
May 9, 2015
An exploratory analysis linking neuropsychological testing to quantification of tractography using High Definition Fiber Tracking (HDFT) in military TBI
Nora Presson, Sue R Beers, Lisa Morrow, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence
Andrey Fedorov, William J R Longabaugh, David Pot, et al.
European Radiology
|
June 30, 2022
Promoting the use of the PI-QUAL score for prostate MRI quality: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship
Francesco Giganti, Alexander P Cole, Fiona M Fennessy, et al.
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Search research articles
Search
Showing results (11-20 of 19) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 19 results.
Scientific Data
|
January 4, 2024
Enrichment of lung cancer computed tomography collections with AI-derived annotations
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, et al.
Military Medicine
|
March 10, 2015
Quantifying white matter structural integrity with high-definition fiber tracking in traumatic brain injury
Nora Presson, Deepa Krishnaswamy, Lauren Wagener, et al.
Informatics in Medicine Unlocked
|
August 9, 2021
Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19
Salehe Erfanian Ebadi, Deepa Krishnaswamy, Seyed Ehsan Seyed Bolouri, et al.
Nature Communications
|
August 13, 2024
End-to-end reproducible AI pipelines in radiology using the cloud
Dennis Bontempi, Leonard Nuernberg, Suraj Pai, et al.
Journal of Neurophysiology
|
July 29, 2016
Magnetoencephalography-based identification of functional connectivity network disruption following mild traumatic brain injury
Ahmad Alhourani, Thomas A Wozny, Deepa Krishnaswamy, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
April 8, 2026
In search of truth: evaluating concordance of AI-based anatomy segmentation models
Lena Giebeler, Deepa Krishnaswamy, David Clunie, et al.
Brain Imaging and Behavior
|
May 9, 2015
An exploratory analysis linking neuropsychological testing to quantification of tractography using High Definition Fiber Tracking (HDFT) in military TBI
Nora Presson, Sue R Beers, Lisa Morrow, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence
Andrey Fedorov, William J R Longabaugh, David Pot, et al.
European Radiology
|
June 30, 2022
Promoting the use of the PI-QUAL score for prostate MRI quality: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship
Francesco Giganti, Alexander P Cole, Fiona M Fennessy, et al.
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of 2