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IEEE Transactions on Medical Imaging
|
August 10, 2006
Segmentation methodology for automated classification and differentiation of soft tissues in multiband images of high-resolution ultrasonic transmission tomography
Jeong-Won Jeong, Dae C Shin, Synho Do, et al.
Research Square
|
December 8, 2025
Generative AI-Enhanced Microcalcification Detection in Full-Field Digital Mammography: Reducing False Positives with High Sensitivity
Kyungsu Kim, Manisha Bahl, Adham Mahmoud Alkhadrawi, et al.
Briefings in Bioinformatics
|
December 15, 2025
Response to 'Methodological and statistical concerns in MINERVA microbiome-disease knowledge graph' by Salvatore Chirumbolo
Saul Langarica, Young-Tak Kim, Adham Alkhadrawi, et al.
Briefings in Bioinformatics
|
September 23, 2025
MINERVA-microbiome network research and visualization atlas: a scalable knowledge graph for mapping microbiome-disease associations
Saul Langarica, Young-Tak Kim, Adham Alkhadrawi, et al.
Radiology
|
July 29, 2025
AI to Reduce the Interval Cancer Rate of Screening Digital Breast Tomosynthesis
Manisha Bahl, Saul Langarica, Leslie R Lamb, et al.
Scientific Reports
|
October 31, 2019
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
Hyunkwang Lee, Chao Huang, Sehyo Yune, et al.
Computational and Mathematical Methods in Medicine
|
October 20, 2012
Automated quantification of pneumothorax in CT
Synho Do, Kristen Salvaggio, Supriya Gupta, et al.
Journal of Digital Imaging
|
November 28, 2018
Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model
Sehyo Yune, Hyunkwang Lee, Myeongchan Kim, et al.
AI in Precision Oncology
|
April 4, 2025
Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT)
Leslie R Lamb, Constance D Lehman, Synho Do, et al.
Journal of the American College of Radiology : JACR
|
March 18, 2018
Interventional Radiology Training Using a Dynamic Medical Immersive Training Environment (DynaMITE)
Colin J McCarthy, Alvin Y C Yu, Synho Do, et al.
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Search research articles
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Showing results (11-20 of 74) with videos related to
Sort By:
Page
of 8
IEEE Transactions on Medical Imaging
|
August 10, 2006
Segmentation methodology for automated classification and differentiation of soft tissues in multiband images of high-resolution ultrasonic transmission tomography
Jeong-Won Jeong, Dae C Shin, Synho Do, et al.
Research Square
|
December 8, 2025
Generative AI-Enhanced Microcalcification Detection in Full-Field Digital Mammography: Reducing False Positives with High Sensitivity
Kyungsu Kim, Manisha Bahl, Adham Mahmoud Alkhadrawi, et al.
Briefings in Bioinformatics
|
December 15, 2025
Response to 'Methodological and statistical concerns in MINERVA microbiome-disease knowledge graph' by Salvatore Chirumbolo
Saul Langarica, Young-Tak Kim, Adham Alkhadrawi, et al.
Briefings in Bioinformatics
|
September 23, 2025
MINERVA-microbiome network research and visualization atlas: a scalable knowledge graph for mapping microbiome-disease associations
Saul Langarica, Young-Tak Kim, Adham Alkhadrawi, et al.
Radiology
|
July 29, 2025
AI to Reduce the Interval Cancer Rate of Screening Digital Breast Tomosynthesis
Manisha Bahl, Saul Langarica, Leslie R Lamb, et al.
Scientific Reports
|
October 31, 2019
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
Hyunkwang Lee, Chao Huang, Sehyo Yune, et al.
Computational and Mathematical Methods in Medicine
|
October 20, 2012
Automated quantification of pneumothorax in CT
Synho Do, Kristen Salvaggio, Supriya Gupta, et al.
Journal of Digital Imaging
|
November 28, 2018
Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model
Sehyo Yune, Hyunkwang Lee, Myeongchan Kim, et al.
AI in Precision Oncology
|
April 4, 2025
Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT)
Leslie R Lamb, Constance D Lehman, Synho Do, et al.
Journal of the American College of Radiology : JACR
|
March 18, 2018
Interventional Radiology Training Using a Dynamic Medical Immersive Training Environment (DynaMITE)
Colin J McCarthy, Alvin Y C Yu, Synho Do, et al.
Page
of 8