Zhibin Liao
Orcid: 0000-0001-9965-4511
According to our database1,
Zhibin Liao
authored at least 38 papers
between 2013 and 2024.
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Bibliography
2024
CoRR, 2024
CoRR, 2024
Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
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
IEEE Trans. Image Process., 2022
2021
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
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
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
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013