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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.
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
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  Data: <searchLink fieldCode="AU" term="%22Lim+SH%22">Lim SH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lee+JB%22">Lee JB</searchLink>; Department of Electrical and Computer Engineering, Inha University, 100 Inha-ro, Incheon, 22212, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+HG%22">Lee HG</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%227704869%22">Medical & biological engineering & computing</searchLink> [Med Biol Eng Comput] 2026 May; Vol. 64 (5), pp. 1675-1688. <i>Date of Electronic Publication: </i>2026 Mar 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7704869 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-0444 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201400118%22">01400118 </searchLink><i>NLM ISO Abbreviation: </i>Med Biol Eng Comput <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s11517-026-03555-7
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      – Code: eng
        Text: English
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        StartPage: 1675
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      – TitleFull: Expert-distilled spectrogram-attention SAI3C network for robust IIIC EEG pattern recognition.
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            NameFull: Lim SH
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            NameFull: Lee JB
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            NameFull: Lee HG
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            – D: 01
              M: 05
              Text: 2026 May
              Type: published
              Y: 2026
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            – TitleFull: Medical & biological engineering & computing
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