Zhibin Liao

Orcid: 0000-0001-9965-4511

According to our database1, Zhibin Liao authored at least 27 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification.
IEEE J. Biomed. Health Informatics, 2022

Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation.
IEEE Trans. Image Process., 2022

2021
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection.
IEEE Trans. Medical Imaging, 2021

Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment.
IEEE Trans. Medical Imaging, 2020

Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Pairwise Relation Learning for Semi-supervised Gland Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Medical Data Inquiry Using a Question Answering Model.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss.
IEEE Trans. Medical Imaging, 2019

Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training.
Int. J. Comput. Assist. Radiol. Surg., 2019

Designing lightweight deep learning models for echocardiography view classification.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks.
CoRR, 2018

Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2017
A deep convolutional neural network module that promotes competition of multiple-size filters.
Pattern Recognit., 2017

2016
On the importance of normalisation layers in deep learning with piecewise linear activation units.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2015
Competitive Multi-scale Convolution.
CoRR, 2015

The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2013
Closed-Loop Deep Vision.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013


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