100 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Peking UniversityCN6 papers
- Chinese Academy of SciencesCN4 papers
- Zhejiang UniversityCN4 papers
- Beihang UniversityCN3 papers
- Beijing Academy of Artificial IntelligenceCN2 papers
- Capital Normal UniversityCN2 papers
- National University of Defense TechnologyCN2 papers
- Shenyang Institute of AutomationCN2 papers
- Tianjin Medical UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- University at Buffalo, State University of New YorkUS2 papers
- Academy of Mathematics and Systems ScienceCN1 paper
22 papers
Learning Disentangled Representations for Generalized Multi-view Clustering
Xin Zou, Ruimeng Liu, Chang Tang +4
Multi-View Clustering (MVC) has gained significant attention for its ability to leverage complementary information across diverse views. However, existing deep MVC methods often st…
MVis-Fold: A Three-Dimensional Microvascular Structure Inference Model for Super-Resolution Ultrasound
Jincao Yao, Ke Zhang, Yahan Zhou +8
Super-resolution ultrasound (SRUS) technology has overcome the resolution limitations of conventional ultrasound, enabling micrometer-scale imaging of microvasculature. However, du…
Fracture interactive geodesic active contours for bone segmentation
Liheng Wang, Licheng Zhang, Hailin Xu +6
For bone segmentation, the classical geodesic active contour model is usually limited by its indiscriminate feature extraction, and then struggles to handle the phenomena of edge o…
SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
Shuhao Mei, Yongchao Long, Xiaoyu Xiao +6
Chronic Obstructive Pulmonary Disease (COPD), a major chronic respiratory disease with persistent airflow limitation, is a leading global cause of disability and mortality. Respira…
Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks
Jiayi Deng, Danyang Huang, Bo Zhang
This paper proposes a distributed pseudo-likelihood method (DPL) to conveniently identify the community structure of large-scale networks. Specifically, we first propose a block-wi…
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…
UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image Registration
Runshi Zhang, Hao Mo, Junchen Wang +4
Complicated image registration is a key issue in medical image analysis, and deep learning-based methods have achieved better results than traditional methods. The methods include…
MiniTac: An Ultra-Compact 8 mm Vision-Based Tactile Sensor for Enhanced Palpation in Robot-Assisted Minimally Invasive Surgery
Wanlin Li, Zihang Zhao, Leiyao Cui +4
Robot-assisted minimally invasive surgery (RAMIS) provides substantial benefits over traditional open and laparoscopic methods. However, a significant limitation of RAMIS is the su…
HDN: Hybrid Deep-Learning and Non-Line-of-Sight Reconstruction Framework for Transcranial Photoacoustic Imaging of Human Brain
Pengcheng Wan, Fan Zhang, Yuting Shen +4
Photoacoustic imaging combines the high contrast of optical imaging with the deep penetration depth of ultrasonic imaging, showing great potential in cerebrovascular disease detect…
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
Muhao Xu, Zhenfeng Zhu, Youru Li +4
Multimodal electronic health record (EHR) data can offer a holistic assessment of a patient's health status, supporting various predictive healthcare tasks. Recently, several studi…
Multi-view X-ray Image Synthesis with Multiple Domain Disentanglement from CT Scans
Lixing Tan, Shuang Song, Kangneng Zhou +6
X-ray images play a vital role in the intraoperative processes due to their high resolution and fast imaging speed and greatly promote the subsequent segmentation, registration and…
AI-Generated Content Enhanced Computer-Aided Diagnosis Model for Thyroid Nodules: A ChatGPT-Style Assistant
Jincao Yao, Yunpeng Wang, Zhikai Lei +13
An artificial intelligence-generated content-enhanced computer-aided diagnosis (AIGC-CAD) model, designated as ThyGPT, has been developed. This model, inspired by the architecture…
CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio
Gang Xu, Shuhao Wang, Lingyu Zhao +12
Histopathology image analysis plays a crucial role in cancer diagnosis. However, training a clinically applicable segmentation algorithm requires pathologists to engage in labour-i…
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
Meng Liu, Ke Liang, Yawei Zhao +5
Temporal graph learning aims to generate high-quality representations for graph-based tasks with dynamic information, which has recently garnered increasing attention. In contrast…
Hessian filter-assisted full diameter at half maximum (FDHM) segmentation and quantification method for optical-resolution photoacoustic microscopy
Dong Zhang, Ran Li, Xin Lou +1
Optical-resolution photoacoustic microscopy has been validated as a high-resolution and high-sensitivity imaging modality for angiographic studies in the past decades. Quantitative…
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation
Chenxin Li, Wenao Ma, Liyan Sun +4
The analysis of organ vessels is essential for computer-aided diagnosis and surgical planning. But it is not a easy task since the fine-detailed connected regions of organ vessel b…
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong, Yang Cong, Gan Sun +3
Weakly-supervised learning has attracted growing research attention on medical lesions segmentation due to significant saving in pixel-level annotation cost. However, 1) most exist…
Sleep Stage Classification Using Bidirectional LSTM in Wearable Multi-sensor Systems
Yuezhou Zhang, Zhicheng Yang, Ke Lan +6
Understanding the sleep quality and architecture is essential to human being's health, which is usually represented using multiple sleep stages. A standard sleep stage determinatio…
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
Luyang Luo, Hao Chen, Xi Wang +5
Accurate and automatic analysis of breast MRI plays an important role in early diagnosis and successful treatment planning for breast cancer. Due to the heterogeneity nature, accur…
Synergistic Effects of Nanoparticle Heating and Amoxicillin on H. Pylori Inhibition
Tao Wu, Lichen Wang, Meiliang Gong +9
We report the design and development of a dual-functional magnetic nanoparticle platform for potential treatment of H. pylori infection. We show that an ultralow concentration of M…
SNR-adaptive OCT angiography enabled by statistical characterization of intensity and decorrelation with multi-variate time series model
Luzhe Huang, Yiming Fu, Ruixiang Chen +6
In OCT angiography (OCTA), decorrelation computation has been widely used as a local motion index to identify dynamic flow from static tissues, but its dependence on SNR severely d…
Maximizing Specific Loss Power for Magnetic Hyperthermia by Hard-Soft Mixed Ferrites
Shuli He, Hongwang Zhang, Yihao Liu +11
We report maximized specific loss power and intrinsic loss power approaching theoretical limits for AC magnetic field heating of nanoparticles. This is achieved by engineering the…