| 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 |
| 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 | 10 | 2021 |
| Do reader characteristics affect diagnostic efficacy in screening mammography? A systematic review DJ Wong, Z Gandomkar, S Lewis, W Reed, S Siviengphanom, E Ekpo Clinical Breast Cancer 23 (3), e56-e67, 2023 | 4 | 2023 |
| An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists Z Gandomkar, EU Ekpo, SJ Lewis, ME Suleiman, S Siviengphanom, T Li, ... Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021 | 3 | 2021 |
| Reliability of radiologists’ first impression when interpreting a screening mammogram Z Gandomkar, S Siviengphanom, M Suleiman, D Wong, W Reed, ... Plos one 18 (4), e0284605, 2023 | 1 | 2023 |
| The reliability of radiologists' first impression interpreting a screening mammogram Z Gandomkar, S Siviengphanom, D Wong, W Reed, EU Ekpo, D Xu, ... Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022 | 1 | 2022 |
| Exploring varied time intervals on diagnostic performances of radiologists and trainees via test sets PDY Trieu, S Siviengphanom, ML Barron, SJ Lewis Medical Imaging 2024: Image Perception, Observer Performance, and Technology …, 2024 | | 2024 |
| Predicting the gist of breast cancer on a screening mammogram using global radiomic features S Siviengphanom, SJ Lewis, PC Brennan, Z Gandomkar Medical Imaging 2024: Image Perception, Observer Performance, and Technology …, 2024 | | 2024 |
| Computer-extracted global radiomic features can predict the radiologists’ first impression about the abnormality of a screening mammogram S Siviengphanom, SJ Lewis, PC Brennan, Z Gandomkar British Journal of Radiology 97 (1153), 168-179, 2024 | | 2024 |
| Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases S Siviengphanom, Z Gandomkar, SJ Lewis, PC Brennan Journal of Digital Imaging 36 (4), 1541-1552, 2023 | | 2023 |
| Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries X Tao, S Siviengphanom, Z Gandomkar, T Li, WM Reed, PC Brennan Medical Imaging 2023: Image Perception, Observer Performance, and Technology …, 2023 | | 2023 |
| Global mammographic radiomic signature can predict radiologists’ difficult-to-interpret normal cases S Siviengphanom, Z Gandomkar, SJ Lewis, PC Brennan Medical Imaging 2023: Image Perception, Observer Performance, and Technology …, 2023 | | 2023 |
| False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms Z Gandomkar, SJ Lewis, S Siviengphanom, D Wong, EU Ekpo, ... Medical Imaging 2023: Image Perception, Observer Performance, and Technology …, 2023 | | 2023 |
| Classification and reviewing of prior screening mammograms from screen-detected breast cancer cases Z Gandomkar, SJ Lewis, S Siviengphanom, M Suleiman, D Wong, ... 16th International Workshop on Breast Imaging (IWBI2022) 12286, 234-240, 2022 | | 2022 |
| TO MORSE GH THOMPSON Notes and Queries 7 (114), 176-c-176-c, 1888 | | 1888 |
