Lufan Liao

According to our database1, Lufan Liao authored at least 10 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks.
IEEE Trans. Medical Imaging, March, 2024

2021
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
NeuroImage, 2021

Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Multi-path Convolutional Neural Network based on Rectangular Kernel with Path Signature Features for Gesture Recognition.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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