Vince Varut Vardhanabhuti
Vince Varut Vardhanabhuti
Clinical Assistant Professor, Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine
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Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Q Dou, TY So, M Jiang, Q Liu, V Vardhanabhuti, G Kaissis, Z Li, W Si, ...
NPJ digital medicine 4 (1), 60, 2021
DRONE: Dual-domain residual-based optimization network for sparse-view CT reconstruction
W Wu, D Hu, C Niu, H Yu, V Vardhanabhuti, G Wang
IEEE Transactions on Medical Imaging 40 (11), 3002-3014, 2021
Image quality assessment of standard-and low-dose chest CT using filtered back projection, adaptive statistical iterative reconstruction, and novel model-based iterative …
V Vardhanabhuti, RJ Loader, GR Mitchell, RD Riordan, CA Roobottom
American Journal of Roentgenology 200 (3), 545-552, 2013
Early embryonic light detection improves survival
TK Tamai, V Vardhanabhuti, NS Foulkes, D Whitmore
Current Biology 14 (3), R104-R105, 2004
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
USPSTF2013 versus PLCOm2012 lung cancer screening eligibility criteria (International Lung Screening Trial): interim analysis of a prospective cohort study
MC Tammemägi, M Ruparel, A Tremblay, R Myers, J Mayo, J Yee, ...
The Lancet Oncology 23 (1), 138-148, 2022
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
Image comparative assessment using iterative reconstructions: clinical comparison of low-dose abdominal/pelvic computed tomography between adaptive statistical, model-based …
V Vardhanabhuti, RD Riordan, GR Mitchell, C Hyde, CA Roobottom
Investigative radiology 49 (4), 209-216, 2014
Extra-pulmonary manifestations of sarcoidosis
V Vardhanabhuti, N Venkatanarasimha, G Bhatnagar, M Maviki, S Iyengar, ...
Clinical radiology 67 (3), 263-276, 2012
Multi-granularity cross-modal alignment for generalized medical visual representation learning
F Wang, Y Zhou, S Wang, V Vardhanabhuti, L Yu
Advances in Neural Information Processing Systems 35, 33536-33549, 2022
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
Recommendations for accurate CT diagnosis of suspected acute aortic syndrome (AAS)—on behalf of the British Society of Cardiovascular Imaging (BSCI)/British Society of …
V Vardhanabhuti, E Nicol, G Morgan-Hughes, CA Roobottom, G Roditi, ...
The British Journal of Radiology 89 (1061), 20150705, 2016
Comparison of image quality between filtered back-projection and the adaptive statistical and novel model-based iterative reconstruction techniques in abdominal CT for renal …
V Vardhanabhuti, S Ilyas, C Gutteridge, SJ Freeman, CA Roobottom
Insights into imaging 4, 661-669, 2013
Deep learning based spectral CT imaging
W Wu, D Hu, C Niu, LV Broeke, APH Butler, P Cao, J Atlas, ...
Neural Networks 144, 342-358, 2021
Assessment of image quality on effects of varying tube voltage and automatic tube current modulation with hybrid and pure iterative reconstruction techniques in abdominal …
V Vardhanabhuti, R Loader, CA Roobottom
Investigative radiology 48 (3), 167-174, 2013
Radiomics model to predict early progression of nonmetastatic nasopharyngeal carcinoma after intensity modulation radiation therapy: a multicenter study
R Du, VH Lee, H Yuan, KO Lam, HH Pang, Y Chen, EY Lam, PL Khong, ...
Radiology: Artificial Intelligence 1 (4), e180075, 2019
Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI
J Ding, P Cao, HC Chang, Y Gao, SHS Chan, V Vardhanabhuti
Insights into imaging 11, 1-11, 2020
Image-domain material decomposition for spectral CT using a generalized dictionary learning
W Wu, P Chen, S Wang, V Vardhanabhuti, F Liu, H Yu
IEEE transactions on radiation and plasma medical sciences 5 (4), 537-547, 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
Improved material decomposition with a two-step regularization for spectral CT
W Wu, P Chen, VV Vardhanabhuti, W Wu, H Yu
Ieee Access 7, 158770-158781, 2019
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