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Ziba Gandomkar

Showing results (21-30 of 48) with videos related to

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Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|June 22, 2022
Global and local shape features of the hippocampus based on Laplace-Beltrami eigenvalues and eigenfunctions: a potential application in the lateralization of temporal lobe epilepsyRosita Shishegar, Ziba Gandomkar, Alireza Fallahi, et al.
Breast Cancer (Tokyo, Japan)|February 5, 2022
A machine learning model based on readers' characteristics to predict their performances in reading screening mammogramsZiba Gandomkar, Sarah J Lewis, Tong Li, et al.
Journal of Imaging Informatics in Medicine|October 15, 2024
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most DifficultSomphone Siviengphanom, Patrick C Brennan, Sarah J Lewis, et al.
Asia-Pacific Journal of Clinical Oncology|November 23, 2021
Differences in lesion interpretation between radiologists in two countries: Lessons from a digital breast tomosynthesis training test setTong Li, Ziba Gandomkar, Phuong Dung Yun Trieu, et al.
Ultramicroscopy|October 6, 2021
3D electron backscatter diffraction characterization of fine α titanium microstructures: collection, reconstruction, and analysis methodsRyan DeMott, Nima Haghdadi, Charlie Kong, et al.
Asia-Pacific Journal of Clinical Oncology|March 3, 2022
Understanding mammographic breast density profile in China: A Sino-Australian comparative study of breast density using real-world data from cancer screening programsTong Li, Jing Li, Rob Heard, et al.
The Breast Journal|December 2, 2017
Mammographic density and other risk factors for breast cancer among women in ChinaTong Li, Lichen Tang, Ziba Gandomkar, et al.
Clinical Breast Cancer|February 15, 2023
Do Reader Characteristics Affect Diagnostic Efficacy in Screening Mammography? A Systematic ReviewDennis Jay Wong, Ziba Gandomkar, Sarah Lewis, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|December 29, 2025
Semi-Supervised Deep Learning-Based Model for Segmentation of Breast Arterial Calcification on Screening MammogramsMu'ath Ibrahim, Patrick C Brennan, Mo'ayyad E Suleiman, et al.
Radiological Physics and Technology|June 2, 2021
Clinicopathologic breast cancer characteristics: predictions using global textural features of the ipsilateral breast mammogramIbrahem H Kanbayti, William I D Rae, Mark F McEntee, et al.
Pageof 5

Showing results (21-30 of 48) with videos related to

Sort By:
Pageof 5
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|June 22, 2022
Global and local shape features of the hippocampus based on Laplace-Beltrami eigenvalues and eigenfunctions: a potential application in the lateralization of temporal lobe epilepsyRosita Shishegar, Ziba Gandomkar, Alireza Fallahi, et al.
Breast Cancer (Tokyo, Japan)|February 5, 2022
A machine learning model based on readers' characteristics to predict their performances in reading screening mammogramsZiba Gandomkar, Sarah J Lewis, Tong Li, et al.
Journal of Imaging Informatics in Medicine|October 15, 2024
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most DifficultSomphone Siviengphanom, Patrick C Brennan, Sarah J Lewis, et al.
Asia-Pacific Journal of Clinical Oncology|November 23, 2021
Differences in lesion interpretation between radiologists in two countries: Lessons from a digital breast tomosynthesis training test setTong Li, Ziba Gandomkar, Phuong Dung Yun Trieu, et al.
Ultramicroscopy|October 6, 2021
3D electron backscatter diffraction characterization of fine α titanium microstructures: collection, reconstruction, and analysis methodsRyan DeMott, Nima Haghdadi, Charlie Kong, et al.
Asia-Pacific Journal of Clinical Oncology|March 3, 2022
Understanding mammographic breast density profile in China: A Sino-Australian comparative study of breast density using real-world data from cancer screening programsTong Li, Jing Li, Rob Heard, et al.
The Breast Journal|December 2, 2017
Mammographic density and other risk factors for breast cancer among women in ChinaTong Li, Lichen Tang, Ziba Gandomkar, et al.
Clinical Breast Cancer|February 15, 2023
Do Reader Characteristics Affect Diagnostic Efficacy in Screening Mammography? A Systematic ReviewDennis Jay Wong, Ziba Gandomkar, Sarah Lewis, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|December 29, 2025
Semi-Supervised Deep Learning-Based Model for Segmentation of Breast Arterial Calcification on Screening MammogramsMu'ath Ibrahim, Patrick C Brennan, Mo'ayyad E Suleiman, et al.
Radiological Physics and Technology|June 2, 2021
Clinicopathologic breast cancer characteristics: predictions using global textural features of the ipsilateral breast mammogramIbrahem H Kanbayti, William I D Rae, Mark F McEntee, et al.
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