| Assessment of intratumoral and peritumoral computed tomography radiomics for predicting pathological complete response to neoadjuvant chemoradiation in patients with esophageal … Y Hu, C Xie, H Yang, JWK Ho, J Wen, L Han, KWH Chiu, J Fu, ... JAMA network open 3 (9), e2015927-e2015927, 2020 | 120 | 2020 |
| Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma Y Hu, C Xie, H Yang, JWK Ho, J Wen, L Han, KO Lam, IYH Wong, ... Radiotherapy and Oncology 154, 6-13, 2021 | 119 | 2021 |
| Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of … C Xie, R Du, JWK Ho, HH Pang, KWH Chiu, EYP Lee, V Vardhanabhuti European journal of nuclear medicine and molecular imaging 47 (12), 2826-2835, 2020 | 82 | 2020 |
| Discrimination of pulmonary ground-glass opacity changes in COVID‐19 and non-COVID-19 patients using CT radiomics analysis C Xie, MY Ng, J Ding, ST Leung, CSY Lo, HYF Wong, V Vardhanabhuti European journal of radiology open 7, 100271, 2020 | 37 | 2020 |
| Detection of influenza and other respiratory viruses in air sampled from a university campus: a longitudinal study C Xie, EHY Lau, T Yoshida, H Yu, X Wang, H Wu, J Wei, B Cowling, ... Clinical Infectious Diseases 70 (5), 850-858, 2020 | 32 | 2020 |
| Machine learning and radiomics applications in esophageal cancers using non-invasive imaging methods—a critical review of literature CY Xie, CL Pang, B Chan, EYY Wong, Q Dou, V Vardhanabhuti Cancers 13 (10), 2469, 2021 | 31 | 2021 |
| Using genomics feature selection method in radiomics pipeline improves prognostication performance in locally advanced esophageal squamous cell carcinoma—a pilot study CY Xie, YH Hu, JWK Ho, LJ Han, H Yang, J Wen, KO Lam, IYH Wong, ... Cancers 13 (9), 2145, 2021 | 23 | 2021 |
| Prediction of individual lymph node metastatic status in esophageal squamous cell carcinoma using routine computed tomography imaging: comparison of size-based measurements and … C Xie, Y Hu, L Han, J Fu, V Vardhanabhuti, H Yang Annals of Surgical Oncology 29 (13), 8117-8126, 2022 | 17 | 2022 |
| A (H1N1) pdm09 influenza viruses replicating in ferret upper or lower respiratory tract differed in onward transmission potential by air C Xie, W Su, SF Sia, KT Choy, S Morrell, J Zhou, M Peiris, JD Bloom, ... The Journal of Infectious Diseases 225 (1), 65-74, 2022 | 12 | 2022 |
| PET/CT: nasopharyngeal cancers C Xie, V Vardhanabhuti PET clinics 17 (2), 285-296, 2022 | 7 | 2022 |
| ASO Author Reflections: Radiomics-Based Prediction of Individual Lymph Node Metastatic Status in Esophageal Squamous Cell Carcinoma C Xie, Y Hu, L Han, J Fu, V Vardhanabhuti, H Yang Annals of Surgical Oncology 29 (13), 8127-8128, 2022 | | 2022 |
| ASO Visual Abstract: Prediction of Individual Lymph Node Metastatic Status in Esophageal Squamous Cell Carcinoma Using Routine CT Imaging: Comparison of Size-Based Measurements … C Xie, Y Hu, L Han, J Fu, V Vardhanabhuti, H Yang Annals of Surgical Oncology 29 (13), 8129-8130, 2022 | | 2022 |
| 47 APPLICATION OF MACHINE LEARNING TO PREDICT NEOADJUVANT CHEMORADIOTHERAPY TREATMENT RESPONSE IN ESOPHAGEAL SQUAMOUS CELL CARCINOMA USING COMPUTED TOMOGRAPHY Y Hu, C Xie, V Vardhanabhuti, J Fu Diseases of the Esophagus 33 (Supplement_1), doaa087. 05, 2020 | | 2020 |
| Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System R Du, C Xie, JML Yu, E Tsougenis, OF Onder, CTM Lai, H Chen, ... European Congress of Radiology-ECR 2020, 2020 | | 2020 |
| Deep learning CT-based radiomics for prediction of treatment response to neoadjuvant chemoradiation in oesophageal squamous cell carcinoma C Xie, Y Hu, L Han, J Fu, V Vardhanabhuti, WHK Chiu European Congress of Radiology (ECR), 2020 | | 2020 |
| Machine learning re-sampling techniques in imbalanced datasets improve prognostication performance in a multicentre cohort of head and neck cancer patients using a PET-based … C Xie, JWK Ho, HMH Pang, R DU, WHK Chiu, EYP Lee, V Vardhanabhuti European Congress of Radiology (ECR), 2020 | | 2020 |
| Prediction of disease early progression in patients with locoregionally advanced nasopharyngeal carcinoma using PET radiomics-based model C Xie, R Du, V Vardhanabhuti 8th Joint Scientific Meeting of Royal College of Radiologists & Hong Kong …, 2019 | | 2019 |
