26 citations · 33 across the 4 of their papers we have counts for
5 papers
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation
Minh Hieu Phan, Zhibin Liao, Johan W. Verjans +1
Medical image synthesis is a challenging task due to the scarcity of paired data. Several methods have applied CycleGAN to leverage unpaired data, but they often generate inaccurat…
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao, Kewen Liao, Haifeng Shen +6
Convolutional neural networks (CNNs) have gained significant popularity in orthopedic imaging in recent years due to their ability to solve fracture classification problems. A comm…
Pairwise Relation Learning for Semi-supervised Gland Segmentation
Yutong Xie, Jianpeng Zhang, Zhibin Liao +3
Accurate and automated gland segmentation on histology tissue images is an essential but challenging task in the computer-aided diagnosis of adenocarcinoma. Despite their prevalenc…
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment
Zhibin Liao, Hany Girgis, Amir Abdi +6
Uncertainty of labels in clinical data resulting from intra-observer variability can have direct impact on the reliability of assessments made by deep neural networks. In this pape…
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks
Zhibin Liao, Tom Drummond, Ian Reid +1
In this paper, we introduce a novel methodology for characterising the performance of deep learning networks (ResNets and DenseNet) with respect to training convergence and general…