MuDeRN: Multi-category classification of breast histopathological image using deep residual networks Z Gandomkar, PC Brennan, C Mello-Thoms Artificial intelligence in medicine 88, 14-24, 2018 | 177 | 2018 |
Artificial Intelligence in medical imaging practice: looking to the future SJ Lewis, Z Gandomkar, PC Brennan Journal of Medical radiation sciences 66 (4), 292-295, 2019 | 82 | 2019 |
Radiologists can detect the ‘gist’of breast cancer before any overt signs of cancer appear PC Brennan, Z Gandomkar, EU Ekpo, K Tapia, PD Trieu, SJ Lewis, ... Scientific reports 8 (1), 8717, 2018 | 64 | 2018 |
Computer-based image analysis in breast pathology Z Gandomkar, PC Brennan, C Mello-Thoms Journal of pathology informatics 7 (1), 43, 2016 | 50 | 2016 |
Visual search in breast imaging Z Gandomkar, C Mello-Thoms The British journal of radiology 92 (1102), 20190057, 2019 | 44 | 2019 |
BI-RADS density categorization using deep neural networks Z Gandomkar, ME Suleiman, D Demchig, PC Brennan, MF McEntee Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019 | 30 | 2019 |
Propagation-based phase-contrast CT of the breast demonstrates higher quality than conventional absorption-based CT even at lower radiation dose ST Taba, BD Arhatari, YI Nesterets, Z Gadomkar, SC Mayo, D Thompson, ... Academic Radiology 28 (1), e20-e26, 2021 | 24 | 2021 |
Mammography-based radiomics in breast cancer: a scoping review of current knowledge and future needs S Siviengphanom, Z Gandomkar, SJ Lewis, PC Brennan Academic Radiology 29 (8), 1228-1247, 2022 | 21 | 2022 |
Risk stratification of indeterminate thyroid nodules using ultrasound and machine learning algorithms ML Gild, M Chan, J Gajera, B Lurie, Z Gandomkar, RJ Clifton‐Bligh Clinical Endocrinology 96 (4), 646-652, 2022 | 21 | 2022 |
Artificial intelligence and convolution neural networks assessing mammographic images: A narrative literature review DJ Wong, Z Gandomkar, WJ Wu, G Zhang, W Gao, X He, Y Wang, ... Journal of medical radiation sciences 67 (2), 134-142, 2020 | 21 | 2020 |
Recurrence quantification analysis of radiologists' scanpaths when interpreting mammograms Z Gandomkar, K Tay, PC Brennan, C Mello‐Thoms Medical physics 45 (7), 3052-3062, 2018 | 19 | 2018 |
Clustering-based optimal sizing and siting of photovoltaic power plant in distribution network N Haghdadi, B Asaei, Z Gandomkar 2012 11th International Conference on Environment and Electrical Engineering …, 2012 | 19 | 2012 |
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 … M Malek, M Rahmani, SM Seyyed Ebrahimi, E Tabibian, A Alidoosti, ... Cancer Imaging 19, 1-10, 2019 | 18 | 2019 |
iCAP: an individualized model combining gaze parameters and image-based features to predict radiologists’ decisions while reading mammograms Z Gandomkar, K Tay, W Ryder, PC Brennan, C Mello-Thoms IEEE transactions on medical imaging 36 (5), 1066-1075, 2016 | 18 | 2016 |
Incidence, mortality, survival, and disease burden of breast cancer in China compared to other developed countries X Tao, T Li, Z Gandomkar, PC Brennan, WM Reed Asia‐Pacific Journal of Clinical Oncology 19 (6), 645-654, 2023 | 17 | 2023 |
Computer-assisted nuclear atypia scoring of breast cancer: a preliminary study Z Gandomkar, PC Brennan, C Mello-Thoms Journal of digital imaging 32, 702-712, 2019 | 16 | 2019 |
A model based on temporal dynamics of fixations for distinguishing expert radiologists' scanpaths Z Gandomkar, K Tay, PC Brennan, C Mello-Thoms Medical Imaging 2017: Image Perception, Observer Performance, and Technology …, 2017 | 16 | 2017 |
A framework for distinguishing benign from malignant breast histopathological images using deep residual networks Z Gandomkar, PC Brennan, C Mello-Thoms 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 204-210, 2018 | 13 | 2018 |
Mammographic density and other risk factors for breast cancer among women in China. T Li, L Tang, Z Gandomkar, R Heard, C Mello‐Thoms, Z Shao, P Brennan Breast Journal 24 (3), 2018 | 12 | 2018 |
Global processing provides malignancy evidence complementary to the information captured by humans or machines following detailed mammogram inspection Z Gandomkar, S Siviengphanom, EU Ekpo, M Suleiman, ST Taba, T Li, ... Scientific reports 11 (1), 20122, 2021 | 11 | 2021 |