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Computer Methods in Biomechanics and Biomedical Engineering|December 11, 2023
Enhancing efficacy and safety of glioma treatment: optimization and evaluation of a novel dual-cavity capsule structure through orthogonal testingYu Liang, Dongjie Li, Yu Zhang, et al.
Computer Methods in Biomechanics and Biomedical Engineering|November 14, 2023
The use of finite element models for backface deformation and body armour design: a systematic reviewAbd Alhamid R Sarhan, Melanie Franklyn, Peter V S Lee
Computer Methods in Biomechanics and Biomedical Engineering|November 16, 2023
Numerical investigation of unruptured middle cerebral artery bifurcation aneurysms: influence of aspect ratioChanikya Valeti, Saravanan Gurusamy, K Krishnakumar, et al.
Computer Methods in Biomechanics and Biomedical Engineering|November 8, 2023
IMH-Net: a convolutional neural network for end-to-end EEG motor imagery classificationMenghao Liu, Tingting Li, Xu Zhang, et al.
Computer Methods in Biomechanics and Biomedical Engineering|November 7, 2023
Stability and optimal control of a cytokine-enhanced general HIV infection model with antibody immune response and CTLs immune responseChong Chen, Yinggao Zhou, Zhijian Ye
Computer Methods in Biomechanics and Biomedical Engineering|July 18, 2024
Arrhythmia detection in inter-patient ECG signals using entropy rate features and RR intervals with CNN architectureNadia Berrahou, Abdelmajid El Alami, Abderrahim Mesbah, et al.
Computer Methods in Biomechanics and Biomedical Engineering|July 16, 2024
Prognostic signature based on S100 calcium-binding protein family members for lung adenocarcinoma and its clinical significanceFengshun Zhang, Mi Zou, Chunsheng Bai, et al.
Computer Methods in Biomechanics and Biomedical Engineering|July 13, 2024
Optimizing lung cancer prediction: leveraging Kernel PCA with dendritic neural modelsUmair Arif, Chunxia Zhang, Muhammad Waqas Chaudhary, et al.
Computer Methods in Biomechanics and Biomedical Engineering|July 1, 2024
A novel temporal-frequency combination pattern optimization approach based on information fusion for motor imagery BCIsChenyang Lü, Ting Wang, Xugang Xi, et al.
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