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Radiology. Artificial Intelligence
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August 14, 2024
Improving Computer-aided Detection for Digital Breast Tomosynthesis by Incorporating Temporal Change
Yinhao Ren, Zisheng Liang, Jun Ge, et al.
IEEE Access : Practical Innovations, Open Solutions
|
June 1, 2026
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification
Payel Bhattacharjee, Fengwei Tian, Geoffrey D Rubin, et al.
Medical Physics
|
May 29, 2019
A four-alternative forced choice (4AFC) methodology for evaluating microcalcification detection in clinical full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) systems using an inkjet-printed anthropomorphic phantom
Lynda C Ikejimba, Jesse Salad, Christian G Graff, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences
|
November 9, 2020
Impact of Using Uniform Attenuation Coefficients for Heterogeneously Dense Breasts in a Dedicated Breast PET/X-ray Scanner
Lawrence R MacDonald, Joseph Y Lo, Gregory M Sturgeon, et al.
Medical Physics
|
January 10, 2016
Population of 224 realistic human subject-based computational breast phantoms
David W Erickson, Jered R Wells, Gregory M Sturgeon, et al.
Medical Physics
|
October 19, 2004
Fundamental imaging characteristics of a slot-scan digital chest radiographic system
Ehsan Samei, Robert S Saunders, Joseph Y Lo, et al.
IEEE Transactions on Medical Imaging
|
May 25, 2023
Ipsilateral Lesion Detection Refinement for Tomosynthesis
Yinhao Ren, Xuan Liu, Jun Ge, et al.
Medical Physics
|
June 2, 2011
Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection
Lincoln J Webb, Ehsan Samei, Joseph Y Lo, et al.
IEEE Journal of Biomedical and Health Informatics
|
March 2, 2021
iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
Wanyi Fu, Shobhit Sharma, Ehsan Abadi, et al.
IEEE Journal of Biomedical and Health Informatics
|
January 17, 2022
Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry"
Wanyi Fu, Shobhit Sharma, Ehsan Abadi, et al.
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of 11
Search research articles
Search
Showing results (61-70 of 106) with videos related to
Sort By:
Page
of 11
Radiology. Artificial Intelligence
|
August 14, 2024
Improving Computer-aided Detection for Digital Breast Tomosynthesis by Incorporating Temporal Change
Yinhao Ren, Zisheng Liang, Jun Ge, et al.
IEEE Access : Practical Innovations, Open Solutions
|
June 1, 2026
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification
Payel Bhattacharjee, Fengwei Tian, Geoffrey D Rubin, et al.
Medical Physics
|
May 29, 2019
A four-alternative forced choice (4AFC) methodology for evaluating microcalcification detection in clinical full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) systems using an inkjet-printed anthropomorphic phantom
Lynda C Ikejimba, Jesse Salad, Christian G Graff, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences
|
November 9, 2020
Impact of Using Uniform Attenuation Coefficients for Heterogeneously Dense Breasts in a Dedicated Breast PET/X-ray Scanner
Lawrence R MacDonald, Joseph Y Lo, Gregory M Sturgeon, et al.
Medical Physics
|
January 10, 2016
Population of 224 realistic human subject-based computational breast phantoms
David W Erickson, Jered R Wells, Gregory M Sturgeon, et al.
Medical Physics
|
October 19, 2004
Fundamental imaging characteristics of a slot-scan digital chest radiographic system
Ehsan Samei, Robert S Saunders, Joseph Y Lo, et al.
IEEE Transactions on Medical Imaging
|
May 25, 2023
Ipsilateral Lesion Detection Refinement for Tomosynthesis
Yinhao Ren, Xuan Liu, Jun Ge, et al.
Medical Physics
|
June 2, 2011
Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection
Lincoln J Webb, Ehsan Samei, Joseph Y Lo, et al.
IEEE Journal of Biomedical and Health Informatics
|
March 2, 2021
iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
Wanyi Fu, Shobhit Sharma, Ehsan Abadi, et al.
IEEE Journal of Biomedical and Health Informatics
|
January 17, 2022
Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry"
Wanyi Fu, Shobhit Sharma, Ehsan Abadi, et al.
Page
of 11