Chengbao Peng
Shenyang, China
Last Updated: 09/26/2026
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Found 8 publications
Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study.
Journal: JMIR medical informatics
Published: June 03, 2025
Deep Learning Models for CT Segmentation of Invasive Pulmonary Aspergillosis, Mucormycosis, Bacterial Pneumonia and Tuberculosis: A Multicentre Study.
Journal: Mycoses
Published: April 11, 2025
Performance of Chest CT-Based Artificial Intelligence Models in Distinguishing Pulmonary Mucormycosis, Invasive Pulmonary Aspergillosis, and Pulmonary Tuberculosis.
Journal: Medical mycology
Published: January 06, 2025
HWA-ResMamba: automatic segmentation of coronary arteries based on residual Mamba with high-order wavelet-enhanced convolution and attention feature aggregation.
Journal: Physics in medicine and biology
Published: December 08, 2024
Cartilage T2 mapping-based radiomics in knee osteoarthritis research: Status, progress and future outlook.
Journal: European journal of radiology
Published: August 05, 2024
Novel algorithm for knee localization and diagnosis and grading of knee osteoarthritis based on a priori information: data from OAI.
Journal: BMC medical imaging
Published: May 28, 2024
Supervised training models with or without manual lesion delineation outperform clinicians in distinguishing pulmonary cryptococcosis from lung adenocarcinoma on chest CT.
Journal: Mycoses
Published: October 04, 2023
A U-Shaped Network Based on Multi-level Feature and Dual-Attention Coordination Mechanism for Coronary Artery Segmentation of CCTA Images.
Journal: Cardiovascular engineering and technology
Published: July 17, 2022
Showing 1-8 of 8
Last Updated: 09/26/2026