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Computer Methods in Biomechanics and Biomedical Engineering|July 14, 2026
EEG emotion recognition using a channel-aware feature encoder and XGBoost classifierHongli Li, Jiayu Li, Jinsheng Liu
Computer Methods in Biomechanics and Biomedical Engineering|July 9, 2026
sEMG gait phase classification based on CNN-transformer and transfer learningQixin Guo, Yi Zheng, Chang Li, et al.
Computer Methods in Biomechanics and Biomedical Engineering|July 9, 2026
Integrating molecular docking, molecular dynamics, and network pharmacology to investigate the potential mechanism of Danggui Sini decoction in the treatment of diabetic foot ulcerSheng Zheng, Weibin Lan, Li Chen, et al.
Computer Methods in Biomechanics and Biomedical Engineering|June 24, 2026
Advancing cardiac health assessment using deep convolutional neural networks for ECG image analysisShamna B, Maheswaran C P, Anitha A
Computer Methods in Biomechanics and Biomedical Engineering|June 22, 2026
A systematic review of machine learning approaches for phonocardiogram classificationAbdulrahman Al-Shanoon, Edward R Sykes, Hedyeh Nazari
Computer Methods in Biomechanics and Biomedical Engineering|December 7, 2002
Feature-based, automated segmentation of cerebral infarct patterns using T2- and diffusion-weighted imagingJuergen Braun, Johannes Bernarding, Hans-Christian Koennecke, et al.
Computer Methods in Biomechanics and Biomedical Engineering|June 20, 2026
Numerical study on the impacts of shunt pathway presence, anatomical characteristics, and occlusion degree in patients with spontaneous splenorenal shuntXiran Cao, Fei Liu, Puyi Zhao, et al.
Computer Methods in Biomechanics and Biomedical Engineering|June 20, 2026
Study on the influence of calreticulin on melasma based on bioinformaticsWeixue Jia, Dejuan Yang, Shanshan Yu
Computer Methods in Biomechanics and Biomedical Engineering|June 30, 2026
Analysis of typical cases of medical infusion pump metering acceptance in nursing scenariosYang Li, Ju Qin, Lidong Fan, et al.
Computer Methods in Biomechanics and Biomedical Engineering|July 2, 2026
An interpretable, clinically-aligned AI paradigm for VTE risk prediction: an approach using LLMs and compound attentionAn Gong, Shuhui Wu, Shujing Wang, et al.
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