109 citations
- Peking UniversityCN61 papers
- Kavli Institute for Theoretical SciencesCN31 papers
- Chinese Academy of SciencesCN16 papers
- National Astronomical ObservatoriesCN12 papers
- University of Science and Technology of ChinaCN10 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Institute of High Energy PhysicsCN7 papers
- Budker Institute of Nuclear PhysicsRU6 papers
- Institute of Modern PhysicsCN6 papers
- Novosibirsk State UniversityRU6 papers
- Ruhr University BochumDE6 papers
- Siberian Branch of the Russian Academy of SciencesRU6 papers
63 papers
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…
Deep Neural Networks for Modeling Astrophysical Nuclear Reacting Flows
Xiaoyu Zhang, Yuxiao Yi, Lile Wang +3
In astrophysical simulations, nuclear reacting flows pose computational challenges due to the stiffness of reaction networks. We introduce neural network-based surrogate models usi…
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease
Yongchao Long, Chao Yang, Gongzheng Tang +5
Privacy-preserving medical decision support for kidney disease requires localized deployment of large language models (LLMs) while maintaining clinical reasoning capabilities. Curr…
DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information
Yongfan Lai, Jiabo Chen, Deyun Zhang +4
Heart disease remains a significant threat to human health. As a non-invasive diagnostic tool, the electrocardiogram (ECG) is one of the most widely used methods for cardiac screen…
Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance
Zhan Zhang, Qin Zhang, Yang Jiao +18
AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncerta…
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…