Ziba Gandomkar - Publications, H-index & Citations

Ziba Gandomkar

the university of sydney

17H指数

110论文数

1.1K被引数

收录论文 23

发表时间

Gaussian mixture modelling enables valid intramuscular fat quantification on T₂- and intermediate-weighted shoulder MRI relative to two-point Dixon 高斯混合模型使得相对于两点Dixon法，在T₂-加权和中性加权肩部MRI上能够有效定量肌肉内脂肪

European Journal of Radiology

IF3.3

2026-09-02

OAAI

Brian Kim; Evert O. Wesselink; Ziba Gandomkar; Marnee J. McKay; Amee L. Seitz; James M. Elliott; Anand Ashok Kumar; Benjamin Cass; Allan A. Young; James M. Linklater; Terence R. Moopanar; Kenneth A. Weber

Diagnostic performance of FDA-cleared and CE-marked AI systems for mammography screening: a systematic review and meta-analysis FDA认证和CE标志的乳腺X线摄影筛查AI系统的诊断性能：一项系统综述和荟萃分析

European Journal of Radiology

IF3.3

2026-08-05

OAAI

Putu Irma Wulandari; Ziba Gandomkar; Mary Rickard; Sahand Hooshmand; Mo’ayyad Suleiman; Patrick Brennan

Initiators of Semaglutide in General Practice in New South Wales, 2020-2023: A Retrospective Cohort Study 新南威尔士州全科实践中的司美格鲁肽起始使用者：一项回顾性队列研究

Heart Lung and Circulation

IF2.2

2026-04-01

PREAI

Kuo, Nicholas I-Hsien; Hill, Flynn; Arnott, Clare; Douglas, Kirsty; Barbieri, Sebastiano; Ferdousi, Shahana; Gandomkar, Ziba; Gallego-Luxan, Blanca; Woodward, Mark; Jorm, Louisa

Semi-Supervised Deep Learning-Based Model for Segmentation of Breast Arterial Calcification on Screening Mammograms 基于半监督深度学习模型的筛查乳腺摄影图像乳腺动脉钙化分割

Canadian Association of Radiologists Journal

IF0

2025-12-29

PREAI

Mu’ath Ibrahim; Patrick C. Brennan; Mo’ayyad E. Suleiman; Mary Rickard; Seyedamir Tavakoli Taba; Ziba Gandomkar

Analysis of challenging mammographic cases demonstrates subtle reader group discrepancies 对具有挑战性的乳腺X线检查病例的分析表明，不同读者群体之间存在细微差异。

Radiography

IF2.8

2025-08-23

OAAI

N. Clerkin; C. Ski; M. Suleiman; Z. Gandomkar; P. Brennan; R. Strudwick

Developing a three-dimensional convolutional neural network for automated full-volume multi-tissue segmentation of the shoulder with comparisons to Goutallier classification and partial volume muscle quality analysis 开发一种用于肩部全容积多组织自动分割的三维卷积神经网络，并与Goutallier分类和部分容积肌肉质量分析进行比较

Journal of Shoulder and Elbow Surgery

IF2.9

2025-02-05

OAAI

Brian Kim; Ziba Gandomkar; Marnee J. McKay; Amee L. Seitz; Evert O. Wesselink; Benjamin Cass; Allan A. Young; James M. Linklater; Jeremy Szajer; Kushalappa Subbiah; James M. Elliott; Kenneth A. Weber

AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesions

SCIENTIFIC REPORTS

IF3.9

2024-05-24

OAAI

Jiang, Zhengqiang; Gandomkar, Ziba; Trieu, Phuong Dung (Yun); Taba, Seyedamir Tavakoli; Barron, Melissa L.; Lewis, Sarah J.

Investigating the impact of cognitive biases in radiologists' image interpretation: A scoping review

EUROPEAN JOURNAL OF RADIOLOGY

IF3.3

2023-09-01

OAAI

Chen, Jacky; Gandomkar, Ziba; Reed, Warren M.

Using Radiomics-Based Machine Learning to Create Targeted Test Sets to Improve Specific Mammography Reader Cohort Performance: A Feasibility Study

JOURNAL OF PERSONALIZED MEDICINE

IF3

2023-05-24

OAAI

Tao, Xuetong; Gandomkar, Ziba; Li, Tong; Brennan, Patrick C.; Reed, Warren

Forecasting and Optimizing Dual Media Filter Performance via Machine Learning

WATER RESEARCH

IF12.4

2023-05-01

OAAI

Moradi, Sina; Omar, Amr; Zhou, Zhuoyu; Agostino, Anthony; Gandomkar, Ziba; Bustamante, Heriberto; Power, Kaye; Henderson, Rita; Leslie, Greg

Associations of Breast Arterial Calcifications with Cardiovascular Disease

JOURNAL OF WOMENS HEALTH

IF1.9

2023-05-01

PREAI

Ibrahim, Mu'ath; Suleiman, Mo'ayyad E.; Gandomkar, Ziba; Taba, Amir Tavakoli; Arnott, Clare; Jorm, Louisa; Barraclough, Jennifer Y.; Barbieri, Sebastiano; Brennan, Patrick C.

Mammography-based Radiomics in Breast Cancer: A Scoping Review of Current Knowledge and Future Needs

ACADEMIC RADIOLOGY

IF3.9

2022-08-01

PREAI

Siviengphanom, Somphone; Gandomkar, Ziba; Lewis, Sarah J.; Brennan, Patrick C.

A machine learning model based on readers' characteristics to predict their performances in reading screening mammograms

BREAST CANCER

IF2.9

2022-02-05

OAAI

Gandomkar, Ziba; Lewis, Sarah J.; Li, Tong; Ekpo, Ernest U.; Brennan, Patrick C.

Formation and 3D morphology of interconnected α microstructures in additively manufactured Ti-6Al-4V 增材制造Ti-6Al-4V中相互连接的 α 微结构的形成和3D形态

MATERIALIA

IF2.9

2021-12-01

OAAI

DeMott, Ryan; Haghdadi, Nima; Gandomkar, Ziba; Liao, Xiaozhou; Ringer, Simon; Primig, Sophie

Risk stratification of indeterminate thyroid nodules using ultrasound and machine learning algorithms

CLINICAL ENDOCRINOLOGY

IF2.4

2021-10-13

PREAI

Gild, Matti Lauren; Chan, Mico; Gajera, Jay; Lurie, Brett; Gandomkar, Ziba; Clifton-Bligh, Roderick J.

Global processing provides malignancy evidence complementary to the information captured by humans or machines following detailed mammogram inspection

SCIENTIFIC REPORTS

IF3.9

2021-10-11

OAAI

Gandomkar, Ziba; Siviengphanom, Somphone; Ekpo, Ernest U.; Suleiman, Mo'ayyad; Li, Tong; Xu, Dong; Evans, Karla K.; Lewis, Sarah J.; Wolfe, Jeremy M.; Brennan, Patrick C.

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 MRI

CANCER IMAGING

IF3.5

2019-04-01

OAAI

Malek, Mahrooz; Rahmani, Maryam; Ebrahimi, Seyyedeh Mahdieh Seyyed; Tabibian, Elnaz; Alidoosti, Azadeh; Rahimifar, Pariya; Akhavan, Setareh; Gandomkar, Ziba

Can eye-tracking metrics be used to better pair radiologists in a mammogram reading task?

MEDICAL PHYSICS

IF3.2

2018-10-01

PREAI

Gandomkar, Ziba; Tay, Kevin; Brennan, Patrick C.; Kozuch, Emma; Mello-Thoms, Claudia

Radiologists can detect the 'gist' of breast cancer before any overt signs of cancer appear

SCIENTIFIC REPORTS

IF3.9

2018-06-07

OAAI

Brennan, Patrick C.; Gandomkar, Ziba; Ekpo, Ernest U.; Tapia, Kriscia; Trieu, Phuong D.; Lewis, Sarah J.; Wolfe, Jeremy M.; Evans, Karla K.