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	Title	Author(s)	Issue Date
	Qualitative and quantitative comparison of image quality between interleaved multi-shot echo-planar and single‐shot echo‐planar diffusion-weighted imaging in patients with endometrial cancer Proceeding/Conference:75th Korean Congress of Radiology (KCR) 2019	An, HLee, EYPMa, XPan, ZGuo, H	2019
	Early Prediction of Treatment Response and Mortality in Advanced Cervical Cancer: Temporal Changes of Functional MRI and FDG PET/CT Radiomics Proceeding/Conference:28th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM)	Oztek, MABowen, SRPartridge, SCHippe, DSYuh, HTNelson, ASLo, SSLee, EYPLeung, EGrecula, JCHarkenrider, MKnopp, MWWu, WMayr, NA	2020
	MRI Texture Analysis in the Characterization of Cervical Carcinoma Proceeding/Conference:28th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM)	WANG, MPerucho, JAUChan, QLee, EYP	2020
	Development of a deep learning algorithm for detection of liver cancers on Magnetic Resonance Imaging Proceeding/Conference:International Society of Magnetic Resonance in Medicine (ISMRM) 2020 Virtual Conference	Zhang, SChiu, WHKMak, SHEfstratios, TCao, P	2020
	The role of pre-treatment 18F-FDG PET texture features in the prediction of nodal involvement and tumor characterization in cervical cancer Proceeding/Conference:International Journal of Radiation Oncology - Biology - Physics	Chan, KCLee, EYP	2019
	The Application of High-resolution Multi-shot DWI with MUSE reconstruction in the Diagnosis of Active Inflammation in Crohn's Disease Proceeding/Conference:International Society of Magnetic Resonance in Medicine (ISMRM) 2020 Virtual Conference	Chen, GChang, HCCChiu, WHK	2020
	Lack of standardization and model reproducibility in radiomics software -- analysis of open-source radiomics performance Proceeding/Conference:Hong Kong College of Radiologists 2019	van Lunenburg, JTJChiu, WHK	2019
	Combining radiomics and deep features in Positron Emission Tomography improves accuracy in tumour response to neo-adjuvant chemoradiotherapy in oesophageal squamous cell carcinoma Proceeding/Conference:European Congress of Radiology (ECR) 2020	van Lunenburg, JTJChiu, WHK	2019
	Combining radiomics and deep features in positron emission tomography improves accuracy in tumour response to neo-adjuvant chemoradiotherapy in oesophageal squamous cell carcinoma Proceeding/Conference:Insights into Imaging	van Lunenburg, JTJChiu, WHK	2020
	A Multi-Inversion-Recovery (mIR) Myelin Water Mapping (MWF)-MRF Sequence Proceeding/Conference:International Society for Magnetic Resonance in Medicine (ISMRM) Virtual Conference	Cao, PCui, DChan, QHui, SK	2020
	Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat-water decomposition MRI Proceeding/Conference:International Society of Magnetic Resonance Imaging (ISMRM) Virtual Conference & Exhibition	Ding, JVardhanabhuti, VLai, EGao, YChan, HSSCao, P	2020
	Deep learning CT-based radiomics for prediction of treatment response to neoadjuvant chemoradiation in oesophageal squamous cell carcinoma Proceeding/Conference:Insights into Imaging	Xie, CHu, YHan, LFu, JVardhanabhuti, VChiu, WHK	2020
	Repeatability of Magnetic Resonance Fingerprinting using ISMRM/NIST MRI Phantom in Philips 3T MRI Scanner Proceeding/Conference:International Society of Magnetic Resonance Imaging (ISMRM) Virtual Conference & Exhibition	Vardhanabhuti, VAu, HTDing, JLee, EYPCao, PHui, SK	2020
	A level-set reformulated as deep recurrent network for left/right ventricle segmentation on cardiac cine MRI Proceeding/Conference:International Society of Magnetic Resonance Imaging (ISMRM) Virtual Conference & Exhibition	Huang, FVardhanabhuti, VKhong, PLNg, MYCao, P	2020
	3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks Proceeding/Conference:Medical Imaging Deep Learning 2020 (MIDL) International Conference	Du, RVardhanabhuti, V	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 radiomics model. Proceeding/Conference:Insights into Imaging	Xie, CHo, JWKPang, HMHDU, RChiu, WHKLee, EYPVardhanabhuti, V	2020
	Multicenter Study Comparing PSIR Motion Correction Late Gadolinium Enhancement Sequence with TurboFLASH and TrueFISP Late Gadolinium Enhancement Sequences Proceeding/Conference:Radiological Society of North America (RSNA) 103rd Scientific Assembly and Annual Meeting, 2017	Chen, YTong, XWLuo, LHe, JLLeung, STLee, TFLai, YTAYiu, KHNg, MYShen, XP	2017
	Comparison of PSIR Motion Correction Late Gadolinium Enhancement Sequence with TurboFLASH and TrueFISP Late Gadolinium Enhancement Sequences Proceeding/Conference:Society for Cardiovascular Magnetic Resonance (SCMR) Annual Scientific Sessions, 2017	Ng, MYChen, YTong, XWHe, JLLuo, LYiu, KHShen, XP	2017
	Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System Journal:European Congress of Radiology (ECR), 2020	Du, RXie, CYu, JMLTsougenis, EOnder, OFLai, CTMChen, HVardhanabhuti, V	2020
	Primary tumour and lymph node radiomics assessment in PET-CT in non-metastatic nasopharyngeal carcinoma patients Proceeding/Conference:European Congress of Radiology (ECR), 2000	Xia, CChen, YVardhanabhuti, V	2020