Liangmin Shan - researchr alias

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Viewing Publication 1 - 4 from 4

2026

Interpretable deep learning framework for multi-label ECG classification: Enhancing cardiac diagnostics through feature attention and explainabilityWei Zeng 0003, Liangmin Shan, Yang Chen 0045, Yonggang Ma, Shaoyi Du. bspc, 112:108447, 2026. [doi]

2025

Artificial intelligence for accurate classification of respiratory abnormality levels using image-based features and interpretable insightsWei Zeng 0003, Liangmin Shan, Qinghui Wang, Fenglin Liu, Ying Wang 0058, Chengzhi Yuan, Shaoyi Du. asc, 170:112678, 2025. [doi]

Interpretable classification of epileptic EEG signals using ALIF decomposition and attention-augmented cascaded deep neural networksWei Zeng 0003, Minglin Zhang, Liangmin Shan, Yang Chen, Zuoyong Li, Shaoyi Du. asc, 180:113211, 2025. [doi]

2024

Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysisWei Zeng 0003, Liangmin Shan, Chengzhi Yuan, Shaoyi Du. asc, 165:112056, 2024. [doi]

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