268 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tianjin UniversityCN7 papers
- Tsinghua UniversityCN4 papers
- Peking UniversityCN3 papers
- Second Hospital of Tianjin Medical UniversityCN3 papers
- Tianjin Medical University Eye HospitalCN3 papers
- Tianjin University of TechnologyCN3 papers
- Beijing Academy of Artificial IntelligenceCN2 papers
- Beijing Tongren HospitalCN2 papers
- Chinese PLA General HospitalCN2 papers
- Renmin University of ChinaCN2 papers
- Sun Yat-sen UniversityCN2 papers
- Tianjin Medical University Cancer Institute and HospitalCN2 papers
18 papers
Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis
Lu Zhang, Huizhen Yu, Zuowei Wang +4
Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, multimodal diagnosis in ophthalmic…
Full end-to-end diagnostic workflow automation of 3D OCT via foundation model-driven AI for retinal diseases
Jinze Zhang, Jian Zhong, Li Lin +18
Optical coherence tomography (OCT) has revolutionized retinal disease diagnosis with its high-resolution and three-dimensional imaging nature, yet its full diagnostic automation in…
Coalescence of multiple topological orders in quasi-one-dimensional bismuth halide chains
Jingyuan Zhong, Ming Yang, Wenxuan Zhao +14
Topology is being widely adopted to understand and to categorize quantum matter in modern physics. The nexus of topology orders, which engenders distinct quantum phases with benefi…
An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework
Yulin Sun, Xiaopeng Si, Runnan He +10
Timely identification of harmful brain activities via electroencephalography (EEG) is critical for brain disease diagnosis and treatment, which remains limited application due to i…
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…
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis
Yujie Yang, Hanjiang Hu, Tianhao Wei +2
Hamilton-Jacobi (HJ) reachability analysis provides a formal method for guaranteeing safety in constrained control problems. It synthesizes a value function to represent a long-ter…
D-FaST: Cognitive Signal Decoding with Disentangled Frequency-Spatial-Temporal Attention
Weiguo Chen, Changjian Wang, Kele Xu +3
Cognitive Language Processing (CLP), situated at the intersection of Natural Language Processing (NLP) and cognitive science, plays a progressively pivotal role in the domains of a…
Development and validation of a short form of the medication literacy scale for Chinese College Students
Chen Zhenzhen, Ren Jiabao, Duan Tingyu +7
Medication literacy is integral to health literacy, pivotal for medication safety and adherence. It denotes an individual's capacity to discern, comprehend, and convey medication-r…
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series
Shuhao Mei, Xin Li, Yuxi Zhou +9
Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung condition characterized by airflow obstruction. Current diagnostic methods primarily rely on identifying prominent fe…
A Method to Decipher "Genome" from Interatomic Cohesion in the Exploration for a "Central Dogma" Replacement in Material Science
Xinxu Zhang, Jiahao Wei, Hui Jia +7
In the ball-stick model, interatomic cohesions are considered "sticks". But enormous details and features of the "sticks" are usually oversimplified as indexed quantities or equivo…
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Zhaohu Xing, Lei Zhu, Lequan Yu +2
Masked image modeling (MIM) with transformer backbones has recently been exploited as a powerful self-supervised pre-training technique. The existing MIM methods adopt the strategy…
Catalytically Potent and Selective Clusterzymes for Modulation of Neuroinflammation Through Single-Atom Substitutions
Haile Liu, Yonghui Li, Si Sun +10
Emerging artificial enzymes with reprogrammed and augmented catalytic activity and substrate selectivity have long been pursued with sustained efforts. The majority of current cand…
Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification
Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui +4
Objective: In clinical practice, small lung nodules can be easily overlooked by radiologists. The paper aims to provide an efficient and accurate detection system for small lung no…
Learn to Segment Retinal Lesions and Beyond
Qijie Wei, Xirong Li, Weihong Yu +8
Towards automated retinal screening, this paper makes an endeavor to simultaneously achieve pixel-level retinal lesion segmentation and image-level disease classification. Such a 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…
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
Sunyi Zheng, Jiapan Guo, Xiaonan Cui +3
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule d…
Segmentation of histological images and fibrosis identification with a convolutional neural network
Xiaohang Fu, Tong Liu, Zhaohan Xiong +3
Segmentation of histological images is one of the most crucial tasks for many biomedical analyses including quantification of certain tissue type. However, challenges are posed by…
Estimating phylogenetic trees from genome-scale data
Liang Liu, Zhenxiang Xi, Shaoyuan Wu +2
As researchers collect increasingly large molecular data sets to reconstruct the Tree of Life, the heterogeneity of signals in the genomes of diverse organisms poses challenges for…