Browsing "Diagnostic Radiology: Conference papers" by Author du, r

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Showing results 1 to 11 of 11
TitleAuthor(s)Issue DateViews
 
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
41
 
Association between multi-phasic MRI radiomic features and treatment response after stereotactic body radiation therapy
Proceeding/Conference:European Congress of Radiology (ECR) 2018
Du, RAlam, MSLee, VHFVardhanabhuti, V
2018
96
 
Clinically-Led Automated Radiograph Triaging System Based on Convolutional Neural Networks -- A Simulation Study
Proceeding/Conference:8th Joint Scientific Meeting of Royal College of Radiologists & Hong Kong College of Radiologists and 27th Annual Scientific Meeting of Hong Kong College of Radiologists
Tsougenis, EOnder, OFLai, CTang, TLee, CDu, RChen, HVardhanabhuti, V
2019
34
 
Convolution neural network in detecting lung diseases in frontal chest radiographs - A validation study in local Chinese population
Proceeding/Conference:Annual Scientific Meeting of Hong Kong College of Radiologists
Du, RShi, YMVardhanabhuti, V
2018
49
 
Deep convolution neural network model for automatic risk assessment of patients with non-metastatic nasopharyngeal carcinoma
Proceeding/Conference:Medical Imaging with Deep Learning (MIDL) 2019 International Conference
Du, RCao, PHan, LAi, QKing, ADVardhanabhuti, V
2019
 
Inter-session reproducibility and consistency of radiomic features after preprocessing as methods for quality control in MRI quantitative radiomics
Proceeding/Conference:The 7th Joint Scientific Meeting of The Royal College of Radiologists & Hong Kong College of Radiologists and 25th Annual Scientific Meeting of Hong Kong College of Radiologists
Du, RChiu, WHKLee, EYPPang, HMHLam, EYMVardhanabhuti, V
2017
117
 
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
47
 
Prediction of disease early progression in patients with locoregionally advanced nasopharyngeal carcinoma using PET radiomics-based model
Proceeding/Conference:8th Joint Scientific Meeting of Royal College of Radiologists & Hong Kong College of Radiologists and 27th Annual Scientific Meeting of Hong Kong College of Radiologists
Xie, CDu, RVardhanabhuti, V
2019
 
Shape-based and quantitative MRI radiomic features in the assessment of non-metastatic nasopharyngeal carcinoma
Proceeding/Conference:European Congress of Radiology (ECR) 2018
Du, RKhong, PLYuan, HKwong, DLWLee, VHFVardhanabhuti, V
2018
 
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
43
 
Texture analysis of multiparametric MRI and association with tumour grading in cervical cancer
Proceeding/Conference:Insights into Imaging
Perucho, JAULee, EYPDu, RVardhanabhuti, VChiu, WHKWong, EMF
2019
Showing results 1 to 11 of 11