AIとがん研究 ── がん一般 ── 2026-10-19
がん一般 2 本。筆頭: A comparative study of survival prediction and feature selection/extraction methods for quantitative radiomics risk modelling
がん一般の分子生物学の進展とAI
- A comparative study of survival prediction and feature selection/extraction methods for quantitative radiomics risk modelling抄録（全訳）掲載誌の IF 相当：9.5（OpenAlex の直近 2 年の平均被引用数・2026-10-18 時点の値、2026-10-19 に取得。正式な IF（Clarivate）ではない）書誌：Liu W, Wang W. A comparative study of survival prediction and feature selection/extraction methods for quantitative radiomics risk modelling. Heliyon. 2026 Nov;12(16):e45602. doi:10.1016/j.heliyon.2026.e45602.確認の範囲：抄録のみ確認
- Brain foundation models with hypergraph dynamic adapter for brain disease analysis.抄録（全訳）掲載誌の IF 相当：7.0（OpenAlex の直近 2 年の平均被引用数・2026-10-18 時点の値、2026-10-19 に取得。正式な IF（Clarivate）ではない）書誌：Deng Z, Wang H, Huang Z, Zhang L, Aviles-Rivero AI, Liu C, et al. Brain foundation models with hypergraph dynamic adapter for brain disease analysis. Pattern Recognit. 2026 Apr;172:112595. doi:10.1016/j.patcog.2025.112595; PMCID: PMC7619582.確認の範囲：全文を確認