Kazuya Nishimura 研究室

AI 要約（直近 5 年の研究成果）

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

研究成果（12 件）

• [2026] Polymer-packed bed reactors enhance photocatalytic efficiency by utilizing multiple light reflections in heterogeneous photocatalysis
  DOI: https://doi.org/10.1016/j.cej.2026.177898
• [2026] Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
  DOI: https://doi.org/10.1609/aaai.v40i11.37857
• [2025] Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer
  DOI: https://doi.org/10.1109/wacv61041.2025.00421
• [2025] Towards Spatial Transcriptomics-Guided Pathological Image Recognition with Batch-Agnostic Encoder
  DOI: https://doi.org/10.1109/isbi60581.2025.10980754
• [2024] A Deep Learning–Based Assay for Programmed Death Ligand 1 Immunohistochemistry Scoring in Non–Small Cell Lung Carcinoma: Does it Help Pathologists Score?
  DOI: https://doi.org/10.1016/j.modpat.2024.100485
• [2023] Student Round-table of AI powered Research Innovation and Creation
  DOI: https://doi.org/10.7210/jrsj.41.700
• [2023] Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking
  DOI: https://doi.org/10.1109/wacv56688.2023.00171
• [2023] Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting
  DOI: https://doi.org/10.1109/wacv56688.2023.00320
• [2022] Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss
  DOI: https://doi.org/10.1109/wacv51458.2022.00182
• [2022] Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection
  DOI: https://doi.org/10.1016/j.media.2022.102436

科研費（0 件）

まだデータがありません（KAKEN 取り込み後に表示）。

所属学会・役職（0 件）

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