Ziba Gandomkar

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 22

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

J. Digit. Imaging

IWBI

Int. J. Medical Eng. Informatics

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases. J. Digit. Imaging 36 (4) (2023)
Ziba Gandomkar, Sarah J. Lewis, Somphone Siviengphanom, Dennis Wong, Ernest U. Ekpo, Moayyad E. Suleiman, Xuetong Tao, Warren M. Reed, Patrick C. Brennan
False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Elly K. Gallagher, Phuong Dung Trieu, Ziba Gandomkar, Tong Li, Masoumeh Gity, Patrick C. Brennan, Sarah Lewis, Seyedamir Tavakoli Taba
A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Xuetong Tao, Somphone Siviengphanom, Ziba Gandomkar, Tong Li, Warren M. Reed, Patrick C. Brennan
Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Zhengqiang Jiang, Phuong Dung Trieu, Ziba Gandomkar, Seyedamir Tavakoli Taba, Melissa L. Barron, Sarah J. Lewis
How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Ziba Gandomkar, Somphone Siviengphanom, Moayyad E. Suleiman, Dennis Wong, Warren M. Reed, Ernest U. Ekpo, Dong Xu, Sarah J. Lewis, Patrick C. Brennan
The reliability of radiologists' first impression interpreting a screening mammogram. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Xuetong Tao, Ziba Gandomkar, Tong Li, Warren M. Reed, Patrick C. Brennan
Varying performance levels for diagnosing mammographic images depending on reader nationality have AI and educational implications. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Ziba Gandomkar, Pek-Lan Khong, Amanda Punch, Sarah J. Lewis
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts. J. Digit. Imaging 35 (5) (2022)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Somphone Siviengphanom, Tong Li, Patrick C. Brennan
An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Ziba Gandomkar, Tong Li, Phuong Dung Trieu, Sarah J. Lewis, Patrick C. Brennan
A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Kriscia Tapia, Tong Li, Seyedamir Tavakoli Taba, Phuong Dung Trieu, Patrick C. Brennan
Investigating the potential of a gist-sensitive computer-aided detection tool. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia A. Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan
Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study. J. Digit. Imaging 32 (5) (2019)
Ziba Gandomkar, Moayyad E. Suleiman, Delgermaa Demchig, Patrick C. Brennan, Mark F. McEntee
BI-RADS density categorization using deep neural networks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
A cognitive approach to determine the benefits of pairing radiologists in mammogram reading. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
A framework for distinguishing benign from malignant breast histopathological images using deep residual networks. IWBI (2018)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks. Artif. Intell. Medicine 88 (2018)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan
Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer. IWBI (2018)
Ziba Gandomkar, Kevin Tay, Will Ryder, Patrick C. Brennan, Claudia Mello-Thoms
iCAP: An Individualized Model Combining Gaze Parameters and Image-Based Features to Predict Radiologists' Decisions While Reading Mammograms. IEEE Trans. Medical Imaging 36 (5) (2017)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
Determining local and contextual features describing appearance of difficult to identify mitotic figures. Medical Imaging: Digital Pathology (2017)
Ziba Gandomkar, Kevin Tay, Will Ryder, Patrick C. Brennan, Claudia Mello-Thoms
Predicting radiologists' true and false positive decisions in reading mammograms by using gaze parameters and image-based features. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Muhammad Ali Sadouni, Ziba Gandomkar, Ehsan Arbabi
EEG-based sympathy recognition. Int. J. Medical Eng. Informatics 6 (1) (2014)
Rosita Shishegar, Ziba Gandomkar, Hamid Soltaman-Zadeh, Seyed Reza Moghadasi
Hippocampal shape analysis in the Laplace Beltrami feature space for temporal lobe epilepsy diagnosis and lateralization. ISBI (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ziba Gandomkar