Expert-distilled spectrogram-attention SAI3C network for robust IIIC EEG pattern recognition.
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| Title: | Expert-distilled spectrogram-attention SAI3C network for robust IIIC EEG pattern recognition. |
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| Authors: | Lim SH; Department of Electronic Engineering, Inha University, 100 Inha-ro, Incheon, 22212, Republic of Korea.; Department of Artificial Intelligence Semiconductor Engineering, Inha University, 100 Inha-ro, Incheon, 22212, Republic of Korea., Lee JB; Department of Electrical and Computer Engineering, Inha University, 100 Inha-ro, Incheon, 22212, Republic of Korea., Lee HG; Department of Electrical and Computer Engineering, Inha University, 100 Inha-ro, Incheon, 22212, Republic of Korea. hglee@inha.ac.kr.; College of Medicine, Inha University, 100 Inha-ro, Incheon, 22212, Republic of Korea. hglee@inha.ac.kr. |
| Source: | Medical & biological engineering & computing [Med Biol Eng Comput] 2026 May; Vol. 64 (5), pp. 1675-1688. Date of Electronic Publication: 2026 Mar 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1741-0444 |
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| DOI: | 10.1007/s11517-026-03555-7 |
