| Impact of image reconstruction settings on texture features in 18F-FDG PET J Yan, JL Chu-Shern, HY Loi, LK Khor, AK Sinha, ST Quek, IWK Tham, ... Journal of nuclear medicine 56 (11), 1667-1673, 2015 | 262 | 2015 |
| Deep learning model for automated detection and classification of central canal, lateral recess, and neural foraminal stenosis at lumbar spine MRI JTPD Hallinan, L Zhu, K Yang, A Makmur, DAR Algazwi, YL Thian, S Lau, ... Radiology 300 (1), 130-138, 2021 | 75 | 2021 |
| Operational strategies to prevent coronavirus disease 2019 (COVID-19) spread in radiology: experience from a Singapore radiology department after severe acute respiratory syndrome Y Goh, W Chua, JKT Lee, BWL Ang, CR Liang, CA Tan, DAW Choong, ... Journal of the American College of Radiology 17 (6), 717-723, 2020 | 69 | 2020 |
| Adenoid cystic carcinoma of the breast AR Tan, CA Livasy Textbook of Uncommon Cancer, 357-363, 2017 | 54 | 2017 |
| Abdominal coarctation and Alagille syndrome SC Quek, FL Tan, F FAMS, ST Quek, W Yip, FM Aw, SH Quak Pediatrics 106 (1), e9-e9, 2000 | 41 | 2000 |
| Establishment of institutional diagnostic reference level for computed tomography with automated dose‐tracking software CR Liang, PXH Chen, J Kapur, MKL Ong, ST Quek, SC Kapur Journal of medical radiation sciences 64 (2), 82-89, 2017 | 39 | 2017 |
| Carcinoma of the cervix: role of MR imaging. SH Chiang, ST Quek Annals of the Academy of Medicine, Singapore 32 (4), 550-556, 2003 | 36 | 2003 |
| Multispectral optoacoustic tomography in assessment of breast tumor margins during breast-conserving surgery: a first-in-human case study Y Goh, G Balasundaram, M Moothanchery, A Attia, X Li, HQ Lim, N Burton, ... Clinical breast cancer 18 (6), e1247-e1250, 2018 | 33 | 2018 |
| Radiologists’ detection of mammographic abnormalities with and without a computer‐aided detection system ST Quek, CH Thng, JBK Khoo, WL Koh Australasian radiology 47 (3), 257-260, 2003 | 30 | 2003 |
| Radiology of osteoporosis ST Quek, WCG Peh Seminars in Musculoskeletal Radiology 6 (03), 197-206, 2002 | 29 | 2002 |
| Cardiac manifestations in tuberous sclerosis: A 10‐year review SC Quek, W Yip, ST Quek, SK Chang, ML Wong, PS Low Journal of paediatrics and child health 34 (3), 283-287, 1998 | 29 | 1998 |
| Interpretable and lightweight 3-D deep learning model for automated ACL diagnosis YS Jeon, K Yoshino, S Hagiwara, A Watanabe, ST Quek, H Yoshioka, ... IEEE Journal of Biomedical and Health Informatics 25 (7), 2388-2397, 2021 | 27 | 2021 |
| Deep learning systems for pneumothorax detection on chest radiographs: a multicenter external validation study YL Thian, D Ng, JTPD Hallinan, P Jagmohan, SY Sia, CH Tan, YH Ting, ... Radiology: Artificial Intelligence 3 (4), e200190, 2021 | 27 | 2021 |
| Clinics in diagnostic imaging (77). Pes anserine bursitis. WL Koh, JW Kwek, ST Quek, WC Peh Singapore medical journal 43 (9), 485-491, 2002 | 27 | 2002 |
| Phased-array magnetic resonance imaging of the prostate with correlation to radical prostatectomy specimens: local experience JW Kwek, CH Thng, PH Tan, JSP Yuen, JBK Khoo, ST Quek, JTS Ho, ... Asian journal of surgery 27 (3), 219-224, 2004 | 25 | 2004 |
| Radiology preparedness in the ongoing battle against COVID-19: experiences from large to small public hospitals in Singapore BP Tan, KC Lim, YG Goh, SSX Kok, SY Teo, ACC Poh, GJL Kaw, ST Quek, ... Radiology: Cardiothoracic Imaging 2 (2), e200140, 2020 | 22 | 2020 |
| Improved productivity using deep learning–assisted reporting for lumbar spine MRI DSW Lim, A Makmur, L Zhu, W Zhang, AJL Cheng, DSY Sia, SE Eide, ... Radiology 305 (1), 160-166, 2022 | 20 | 2022 |
| Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography Y Goh, CW Chan, P Pillay, HS Lee, HB Pan, BH Hung, ST Quek, CP Chou European Radiology 31, 2657-2666, 2021 | 20 | 2021 |
| Intra-articular and Peri-articular Tumours and Tumour mimics-What a clinician and Onco-imaging radiologist should Know S Dhanda, ST Quek, G Bathla, P Jagmohan The Malaysian Journal of Medical Sciences: MJMS 21 (2), 4, 2014 | 20 | 2014 |
| Development of a microRNA panel for classification of abnormal mammograms for breast cancer R Zou, SY Loke, VKM Tan, ST Quek, P Jagmohan, YC Tang, ... Cancers 13 (9), 2130, 2021 | 17 | 2021 |
