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Ziba Gandomkar

Showing results (31-40 of 48) with videos related to

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Clinical Endocrinology|October 13, 2021
Risk stratification of indeterminate thyroid nodules using ultrasound and machine learning algorithmsMatti Lauren Gild, Mico Chan, Jay Gajera, et al.
Australian Health Review : a Publication of the Australian Hospital Association|May 1, 2024
Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readersPhuong Dung Yun Trieu, Melissa L Barron, Zhengqiang Jiang, et al.
Scientific Reports|May 24, 2024
AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesionsZhengqiang Jiang, Ziba Gandomkar, Phuong Dung Yun Trieu, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 3, 2019
Investigating the diagnostic value of quantitative parameters based on T2-weighted and contrast-enhanced MRI with psoas muscle and outer myometrium as internal references for differentiating uterine sarcomas from leiomyomas at 3T MRIMahrooz Malek, Maryam Rahmani, Seyyedeh Mahdieh Seyyed Ebrahimi, et al.
Water Research|March 22, 2023
Forecasting and Optimizing Dual Media Filter Performance via Machine LearningSina Moradi, Amr Omar, Zhuoyu Zhou, et al.
Journal of Medical Radiation Sciences|March 6, 2020
Artificial intelligence and convolution neural networks assessing mammographic images: a narrative literature reviewDennis Jay Wong, Ziba Gandomkar, Wan-Jing Wu, et al.
Cancers|January 23, 2024
Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data IntegrationZhengqiang Jiang, Ziba Gandomkar, Phuong Dung Yun Trieu, et al.
La Radiologia Medica|June 29, 2026
A novel deep learning-based grading system for assessing breast arterial calcification on mammograms, as an independent risk factor for predicting adverse cardiovascular eventsMu'ath Ibrahim, Patrick C Brennan, Mo'ayyad E Suleiman, et al.
Heart (British Cardiac Society)|November 17, 2025
Estimating 5-year absolute risk of cardiovascular disease using routinely collected electronic medical records from Australian general practicesNicholas I-Hsien Kuo, Sebastiano Barbieri, Clare Arnott, et al.
Scientific Reports|June 9, 2018
Radiologists can detect the 'gist' of breast cancer before any overt signs of cancer appearPatrick C Brennan, Ziba Gandomkar, Ernest U Ekpo, et al.
Pageof 5

Showing results (31-40 of 48) with videos related to

Sort By:
Pageof 5
Clinical Endocrinology|October 13, 2021
Risk stratification of indeterminate thyroid nodules using ultrasound and machine learning algorithmsMatti Lauren Gild, Mico Chan, Jay Gajera, et al.
Australian Health Review : a Publication of the Australian Hospital Association|May 1, 2024
Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readersPhuong Dung Yun Trieu, Melissa L Barron, Zhengqiang Jiang, et al.
Scientific Reports|May 24, 2024
AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesionsZhengqiang Jiang, Ziba Gandomkar, Phuong Dung Yun Trieu, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 3, 2019
Investigating the diagnostic value of quantitative parameters based on T2-weighted and contrast-enhanced MRI with psoas muscle and outer myometrium as internal references for differentiating uterine sarcomas from leiomyomas at 3T MRIMahrooz Malek, Maryam Rahmani, Seyyedeh Mahdieh Seyyed Ebrahimi, et al.
Water Research|March 22, 2023
Forecasting and Optimizing Dual Media Filter Performance via Machine LearningSina Moradi, Amr Omar, Zhuoyu Zhou, et al.
Journal of Medical Radiation Sciences|March 6, 2020
Artificial intelligence and convolution neural networks assessing mammographic images: a narrative literature reviewDennis Jay Wong, Ziba Gandomkar, Wan-Jing Wu, et al.
Cancers|January 23, 2024
Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data IntegrationZhengqiang Jiang, Ziba Gandomkar, Phuong Dung Yun Trieu, et al.
La Radiologia Medica|June 29, 2026
A novel deep learning-based grading system for assessing breast arterial calcification on mammograms, as an independent risk factor for predicting adverse cardiovascular eventsMu'ath Ibrahim, Patrick C Brennan, Mo'ayyad E Suleiman, et al.
Heart (British Cardiac Society)|November 17, 2025
Estimating 5-year absolute risk of cardiovascular disease using routinely collected electronic medical records from Australian general practicesNicholas I-Hsien Kuo, Sebastiano Barbieri, Clare Arnott, et al.
Scientific Reports|June 9, 2018
Radiologists can detect the 'gist' of breast cancer before any overt signs of cancer appearPatrick C Brennan, Ziba Gandomkar, Ernest U Ekpo, et al.
Pageof 5