| Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study JCY Seah, CHM Tang, QD Buchlak, XG Holt, JB Wardman, A Aimoldin, ... The Lancet Digital Health 3 (8), e496-e506, 2021 | 132 | 2021 |
| Chest radiographs in congestive heart failure: visualizing neural network learning JCY Seah, JSN Tang, A Kitchen, F Gaillard, AF Dixon Radiology 290 (2), 514-522, 2019 | 115 | 2019 |
| Adversarial pulmonary pathology translation for pairwise chest X-ray data augmentation Y Xing, Z Ge, R Zeng, D Mahapatra, J Seah, M Law, T Drummond Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 36 | 2019 |
| Deep generative adversarial neural networks for realistic prostate lesion MRI synthesis A Kitchen, J Seah arXiv preprint arXiv:1708.00129, 2017 | 34 | 2017 |
| Detection of prostate cancer on multiparametric MRI JCY Seah, JSN Tang, A Kitchen Medical imaging 2017: computer-aided diagnosis 10134, 585-588, 2017 | 34 | 2017 |
| Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study CM Jones, L Danaher, MR Milne, C Tang, J Seah, L Oakden-Rayner, ... BMJ open 11 (12), e052902, 2021 | 23 | 2021 |
| Charting the potential of brain computed tomography deep learning systems QD Buchlak, MR Milne, J Seah, A Johnson, G Samarasinghe, B Hachey, ... Journal of Clinical Neuroscience 99, 217-223, 2022 | 20 | 2022 |
| Evaluation of an artificial intelligence model for detection of pneumothorax and tension pneumothorax in chest radiographs JM Hillis, BC Bizzo, S Mercaldo, JK Chin, I Newbury-Chaet, ... JAMA Network Open 5 (12), e2247172-e2247172, 2022 | 17 | 2022 |
| Diagnostic accuracy of a commercially available deep-learning algorithm in supine chest radiographs following trauma J Gipson, V Tang, J Seah, H Kavnoudias, A Zia, R Lee, B Mitra, ... The British Journal of Radiology 95 (1134), 20210979, 2022 | 17 | 2022 |
| Prime time for artificial intelligence in interventional radiology J Seah, T Boeken, M Sapoval, GS Goh CardioVascular and Interventional Radiology 45 (3), 283-289, 2022 | 17 | 2022 |
| Chest radiographs and machine learning–Past, present and future CM Jones, QD Buchlak, L Oakden‐Rayner, M Milne, J Seah, N Esmaili, ... Journal of Medical Imaging and Radiation Oncology 65 (5), 538-544, 2021 | 17 | 2021 |
| Artificial intelligence in medical imaging: implications for patient radiation safety J Seah, Z Brady, K Ewert, M Law The British Journal of Radiology 94 (1126), 20210406, 2021 | 16 | 2021 |
| Pathophysiological mechanisms of gastro-esophageal reflux after sleeve gastrectomy Y Johari, G Lim, A Wickremasinghe, H Yue, J Seah, G Ooi, J Playfair, ... Annals of surgery 276 (5), e407-e416, 2022 | 14 | 2022 |
| Machine learning approaches for imaging‐based prognostication of the outcome of surgery for mesial temporal lobe epilepsy B Sinclair, V Cahill, J Seah, A Kitchen, LE Vivash, Z Chen, CB Malpas, ... Epilepsia 63 (5), 1081-1092, 2022 | 13 | 2022 |
| CLiP, catheter and line position dataset JSN Tang, JCY Seah, A Zia, J Gajera, RN Schlegel, AJN Wong, D Gai, ... Scientific Data 8 (1), 285, 2021 | 13 | 2021 |
| Support vector machines for prostate lesion classification A Kitchen, J Seah Medical Imaging 2017: Computer-Aided Diagnosis 10134, 577-580, 2017 | 13 | 2017 |
| Clinical utility of deep learning motion correction for T1 weighted MPRAGE MR images K Pawar, Z Chen, J Seah, M Law, T Close, G Egan European Journal of Radiology 133, 109384, 2020 | 12 | 2020 |
| Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography J Seah, C Tang, QD Buchlak, MR Milne, X Holt, H Ahmad, J Lambert, ... BMJ open 11 (12), e053024, 2021 | 9 | 2021 |
| Artificial intelligence and medical imaging: applications, challenges and solutions M Law, J Seah, G Shih The Medical Journal of Australia 214 (10), 450-452. e1, 2021 | 8 | 2021 |
| Machine learning augmented interpretation of chest X-rays: a systematic review HK Ahmad, MR Milne, QD Buchlak, N Ektas, G Sanderson, H Chamtie, ... Diagnostics 13 (4), 743, 2023 | 7 | 2023 |
