Masked latent transformer with random masking ratio to advance the diagnosis of dental fluorosis
Note Click the Cite button above to cite this paper.
Professional Summary
Hao Xu is currently pursuing on the PhD degree in biomedical engineering from University of Electronic Science and Technology of China (UESTC). He earned Bachelor’s and Master’s degrees in Computer Science and Technology from Chengdu university and Guizhou university, respectively. His research interests include deep learning, neuroscience, neuroimaging analysis, the analysis of medical images, and research into schizophrenia. He has published three academic papers in the field of deep learning for medical image analysis.
Education
PhD Biomedical Engineering
UESCT
MS Computer Science and Technology
Guizhou University
BS Computer Science and Technology
Chengdu University
Interests
Deep Learning
Computer Vision
Brain Science
Neuroimaging Analysis
Medical Image Analysis
Schizophrenia
📚 My Research
I am a PhD student who has transitioned from studying computer science to studying biomedical engineering.
I am currently enrolled at the University of Electronic Science and Technology of China.
My primary research focus is using deep learning to detect and analyse schizophrenia in neuroimaging data.
Please reach out to collaborate 😃
Featured Publications
Convolutional state space model with multi-window cross-scan to advance the automated diagnosis of skeletal fluorosis
Note Click the Cite button above to cite this paper.
G2ViT: Graph neural network-guided vision transformer enhanced network for retinal vessel and coronary angiograph segmentation
Note Click the Cite button above to cite this paper.
Recent Publications
(2025).
Masked latent transformer with random masking ratio to advance the diagnosis of dental fluorosis.
Journal of Visual Communication and Image Representation, 104496.
(2025).
Convolutional state space model with multi-window cross-scan to advance the automated diagnosis of skeletal fluorosis.
Biomedical Signal Processing and Control, 103, 107439.
(2024).
Integrated method for grading diagnosis of dental fluorosis combined with segmentation and classification.
Biomedical Signal Processing and Control, 96, 106510.
(2024).
G2ViT: Graph neural network-guided vision transformer enhanced network for retinal vessel and coronary angiograph segmentation.
Neural Networks, 176, 106356.
Recent News
Trending
🎉 Easily create your own simple yet highly customizable blog
Take full control of your personal brand and privacy by migrating away from the big tech platforms!
🧠 Sharpen your thinking with a second brain
Create a personal knowledge base and share your knowledge with your peers.
📈 Communicate your results effectively with the best data visualizations
Use popular tools such as HuggingFace, Plotly, Mermaid, and data frames.
👩🏼🏫 Teach academic courses
Embed videos, podcasts, code, LaTeX math, and even test students!
✅ Manage your projects
Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!