79 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Peking UniversityCN12 papers
- Beihang UniversityCN3 papers
- Beijing Institute of TechnologyCN3 papers
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Academy of Science and TechnologyCN1 paper
- Capital Normal UniversityCN1 paper
- Chinese Academy of SciencesCN1 paper
- Chinese PLA General HospitalCN1 paper
- Columbia University Irving Medical CenterUS1 paper
- Duke Medical CenterUS1 paper
- ETH ZurichCH1 paper
- Georgia Institute of TechnologyUS1 paper
14 papers
Enhance Comprehension of Over-the-Counter Drug Instructions for the General Public and Medical Professionals through Visualization Design
Mengjie Fan, Katrin Angerbauer, Yinchu Cheng +6
Drug instructions are crucial for guiding the rational use of medication. We conduct a visualization design study to enhance the comprehension of over-the-counter (OTC) drug instru…
Unsupervised Deformable Image Registration with Local-Global Attention and Image Decomposition
Zhengyong Huang, Xingwen Sun, Xuting Chang +5
Deformable image registration is a critical technology in medical image analysis, with broad applications in clinical practice such as disease diagnosis, multi-modal fusion, and su…
An Iterative LLM Framework for SIBT utilizing RAG-based Adaptive Weight Optimization
Zhuo Xiao, Qinglong Yao, Jingjing Wang +7
Seed implant brachytherapy (SIBT) is an effective cancer treatment modality; however, clinical planning often relies on manual adjustment of objective function weights, leading to…
Magneto-photoelectrochemical 2D heterojunction platform for biosensing detection
Tao Wang, Nan Zhang, Hongjie Huang +12
Photoelectrochemical (PEC) biosensors exhibit significant potential for biomolecule detection due to their high sensitivity and low background noise. However, their performance is…
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
Linxuan Li, Wenjia Wei, Luyao Yang +5
Low-dose CT (LDCT) significantly reduces the radiation dose received by patients, however, dose reduction introduces additional noise and artifacts. Currently, denoising methods ba…
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
Zixiang Wang, Yinghao Zhu, Huiya Zhao +9
We introduce ColaCare, a framework that enhances Electronic Health Record (EHR) modeling through multi-agent collaboration driven by Large Language Models (LLMs). Our approach seam…
Bone tumor suppression in rabbits by hyperthermia below the clinical safety limit using aligned magnetic bone cement
Xiang Yu, Shan Gao, Dian Wu +12
Demonstrating highly efficient alternating current (AC) magnetic field heating of nanoparticles in physiological environments under clinically safe field parameters has remained a…
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Xinru Zhang, Chenghao Liu, Ni Ou +5
Brain lesion segmentation provides a valuable tool for clinical diagnosis, and convolutional neural networks (CNNs) have achieved unprecedented success in the task. Data augmentati…
Model-based cellular kinetic analysis of SARS-CoV-2 infection: different immune response modes and treatment strategies
Zhengqing Zhou, Zhiheng Zhao, Shuyu Shi +10
Increasing number in global COVID-19 cases demands for mathematical model to analyze the interaction between the virus dynamics and the response of innate and adaptive immunity. He…
Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
Yang Li, Yan Li, Hua Tian
As the first diagnostic imaging modality of avascular necrosis of the femoral head (AVNFH), accurately staging AVNFH from a plain radiograph is critical yet challenging for orthope…
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Junyi Gao, Cao Xiao, Yasha Wang +3
Deep learning has demonstrated success in health risk prediction especially for patients with chronic and progressing conditions. Most existing works focus on learning disease Netw…
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
Li Xiao, Chunlong Luo, Tianqi Yu +6
Chromosome enumeration is an essential but tedious procedure in karyotyping analysis. To automate the enumeration process, we develop a chromosome enumeration framework, DeepACEv2,…
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui, Yanlin Liu, Yuxing Li +6
Automated brain lesion segmentation provides valuable information for the analysis and intervention of patients. In particular, methods based on convolutional neural networks (CNNs…
A Model for Medical Diagnosis Based on Plantar Pressure
Guoxiong Xu, Zhengfei Wang, Hongshi Huang +3
The process of determining which disease or condition explains a person's symptoms and signs can be very complicated and may be inaccurate in some cases. The general belief is that…