| Canadian Association of Radiologists white paper on artificial intelligence in radiology A Tang, R Tam, A Cadrin-Chênevert, W Guest, J Chong, J Barfett, ... Canadian Association of Radiologists Journal 69 (2), 120-135, 2018 | 543 | 2018 |
| Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials B Mollon, JJR Chong, AM Holbrook, M Sung, L Thabane, G Foster BMC medical informatics and decision making 9, 1-9, 2009 | 171 | 2009 |
| Demystification of AI-driven medical image interpretation: past, present and future P Savadjiev, J Chong, A Dohan, M Vakalopoulou, C Reinhold, ... European radiology 29, 1616-1624, 2019 | 170 | 2019 |
| Canadian Association of Radiologists white paper on ethical and legal issues related to artificial intelligence in radiology Canadian Association of Radiologists (CAR) Artificial Intelligence Working Group Canadian Association of Radiologists' Journal 70 (2), 107-118, 2019 | 149 | 2019 |
| Features from computerized texture analysis of breast cancers at pretreatment MR imaging are associated with response to neoadjuvant chemotherapy F Chamming’s, Y Ueno, R Ferré, E Kao, AS Jannot, J Chong, A Omeroglu, ... Radiology 286 (2), 412-420, 2018 | 128 | 2018 |
| How to differentiate uterine leiomyosarcoma from leiomyoma with imaging S Sun, PA Bonaffini, S Nougaret, L Fournier, A Dohan, J Chong, J Smith, ... Diagnostic and interventional imaging 100 (10), 619-634, 2019 | 121 | 2019 |
| Resectable pancreatic adenocarcinoma: role of CT quantitative imaging biomarkers for predicting pathology and patient outcomes C Cassinotto, J Chong, G Zogopoulos, C Reinhold, L Chiche, ... European journal of radiology 90, 152-158, 2017 | 109 | 2017 |
| Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection J Zhao, D Li, Z Kassam, J Howey, J Chong, B Chen, S Li Medical image analysis 63, 101667, 2020 | 102 | 2020 |
| Prevalence of benign epileptiform variants B Santoshkumar, JJR Chong, WT Blume, RS McLachlan, GB Young, ... Clinical Neurophysiology 120 (5), 856-861, 2009 | 95 | 2009 |
| Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA AP Brady, B Allen, J Chong, E Kotter, N Kottler, J Mongan, ... Canadian Association of Radiologists Journal 75 (2), 226-244, 2024 | 76 | 2024 |
| Incidental pancreatic cysts: natural history and diagnostic accuracy of a limited serial pancreatic cyst MRI protocol S Nougaret, C Reinhold, J Chong, L Escal, G Mercier, JM Fabre, B Guiu, ... European radiology 24, 1020-1029, 2014 | 74 | 2014 |
| Regional heart motion abnormality detection: An information theoretic approach K Punithakumar, IB Ayed, A Islam, A Goela, IG Ross, J Chong, S Li Medical image analysis 17 (3), 311-324, 2013 | 58 | 2013 |
| Left ventricle segmentation via graph cut distribution matching I Ben Ayed, K Punithakumar, S Li, A Islam, J Chong Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 55 | 2009 |
| United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI J Zhao, D Li, X Xiao, F Accorsi, H Marshall, T Cossetto, D Kim, ... Medical image analysis 73, 102154, 2021 | 53 | 2021 |
| Review of natural language processing in radiology JW Luo, JJR Chong Neuroimaging Clinics 30 (4), 447-458, 2020 | 52 | 2020 |
| Weakly-supervised teacher-student network for liver tumor segmentation from non-enhanced images D Zhang, B Chen, J Chong, S Li Medical Image Analysis 70, 102005, 2021 | 46 | 2021 |
| Artificial intelligence in radiology: who’s afraid of the big bad wolf? B Gallix, J Chong European radiology 29, 1637-1639, 2019 | 41 | 2019 |
| Rates of overtreatment and treatment-related adverse effects among patients with subsegmental pulmonary embolism IA Raslan, J Chong, B Gallix, TC Lee, EG McDonald JAMA internal medicine 178 (9), 1272-1274, 2018 | 41 | 2018 |
| Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning C Xu, D Zhang, J Chong, B Chen, S Li Medical image analysis 69, 101976, 2021 | 39 | 2021 |
| Image-based biomarkers for solid tumor quantification P Savadjiev, J Chong, A Dohan, V Agnus, R Forghani, C Reinhold, ... European radiology 29, 5431-5440, 2019 | 39 | 2019 |
