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[ACIIDS 2024] A Deep Learning Approach to Diabetes Diagnosis

Home Page: https://steve-zeyu-zhang.github.io/DiabetesDiagnosis/

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ai-for-healthcare ai-for-medical-diagnosis ai-for-medicine artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks diabetes-detection diabetes-prediction

diabetesdiagnosis's Introduction

Zeyu Zhang

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Biography

Zeyu Zhang is an undergraduate researcher under the guidance of Prof. Richard Hartley and Prof. Ian Reid. His research interests are rooted in computer vision, focusing on generative 3D modeling and AI for health. Specifically, he is dedicated to advancing efficient and high-quality motion and avatar generation, as well as 3D medical imaging segmentation and representation learning. With extensive experience across multiple research disciplines, Zeyu actively explores cutting-edge advancements in both the foundational and applied aspects of artificial intelligence. He has also collaborated closely with Asst. Prof. Hao Tang (PKU), Prof. Bohan Zhuang (ZJU), Dr. Yang Zhao (La Trobe), Dr. Minh-Son To (FHMRI), and many others. Zeyu is actively seeking opportunities and collaborations in both academia and industry.

News

(07/19/2024) 🎉 Our paper Motion Avatar has been accepted to BMVC 2024!
(07/02/2024) 🎉 Our paper Motion Mamba has been accepted to ECCV 2024!
(06/18/2024) 🎉 Our paper JointViT has been selected as oral presentation at MIUA 2024!
(05/14/2024) 🎉 Our paper JointViT has been accepted to MIUA 2024!
(03/13/2024) 🎉 Our paper Motion Mamba has been featured in Daily Papers!
(02/10/2024) 🎉 Our paper SegReg has been accepted to ISBI 2024!

Selected Publications

Motion Mamba: Efficient and Long Sequence Motion Generation
Zeyu Zhang*, Akide Liu*, Ian Reid, Richard Hartley, Bohan Zhuang, Hao Tang✉
ECCV 2024
Website arXiv GitHub Papers With Code Hugging Face BibTeX

More Publications

Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
Zeyu Zhang*, Yiran Wang*, Biao Wu*, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao✉
BMVC 2024
Website arXiv GitHub Papers With Code BibTeX

JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA
Zeyu Zhang, Xuyin Qi, Mingxi Chen, Guangxi Li, Ryan Pham, Ayub Qassim, Ella Berry, Zhibin Liao, Owen Siggs, Robert Mclaughlin, Jamie Craig, Minh-Son To
MIUA 2024 Oral
Website DOI arXiv GitHub Papers With Code BibTeX

SegReg: Segmenting OARs by Registering MR Images and CT Annotations
Zeyu Zhang, Xuyin Qi, Bowen Zhang, Biao Wu, Hien Le, Bora Jeong, Zhibin Liao, Yunxiang Liu, Johan Verjans, Minh-Son To, Richard Hartley✉
ISBI 2024
Website arXiv OpenReview GitHub Papers With Code BibTeX

Thin-Thick Adapter: Segmenting Thin Scans Using Thick Annotations
Zeyu Zhang, Bowen Zhang, Abhiram Hiwase, Feng Chen, Akide Liu, Christen Barras, Biao Wu, Adam Wells, Daniel Ellis, Benjamin Reddi, Andrew Burgan, Minh-Son To, Ian Reid✉, Richard Hartley✉
Preprint
OpenReview GitHub BibTeX

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
Shengbo Tan, Zeyu Zhang, Ying Cai✉, Daji Ergu, Lin Wu, Binbin Hu, Pengzhang Yu, Yang Zhao
Preprint
arXiv GitHub Papers With Code BibTeX

Sine Activated Low-Rank Matrices for Parameter Efficient Learning
Yiping Ji*, Hemanth Saratchandran*, Cameron Gordon, Zeyu Zhang, Simon Lucey✉
Preprint
arXiv Papers With Code

XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training
Biao Wu*, Yutong Xie*, Zeyu Zhang, Minh Hieu Phan, Qi Chen, Ling Chen, Qi Wu✉
Preprint
arXiv GitHub Papers With Code BibTeX

BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset
Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, Minh-Son To✉
MLMI 2023
DOI arXiv OpenReview GitHub Kaggle Papers With Code Papers With Code BibTeX

A Deep Learning Approach to Diabetes Diagnosis
Zeyu Zhang, Khandaker Asif Ahmed, Md Rakibul Hasan, Tom Gedeon, Md Zakir Hossain
ACIIDS 2024
Website arXiv GitHub Papers With Code BibTeX

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