Takuya Ueda 研究室

主宰者：Takuya Ueda

神戸大学

AI 要約（直近 5 年の研究成果）

Takuya Ueda研究室では、医療画像解析と機械学習を組み合わせた診断支援システムの開発に取り組んでいます。乳がんや食道がん、胎盤異常など様々な疾患を対象に、コンピュータ断層撮影やMRI、乳房撮影などの複数の医療画像モダリティから自動的に病変を検出・分類するための深層学習モデルを構築しています。ビジョントランスフォーマーやU-Netなどの最新のニューラルネットワークアーキテクチャを活用し、医師の診断プロセスを模倣した専門的なモデル設計によって、スクリーニング精度の向上を目指しています。さらに同研究室では、医療画像から抽出した定量的な情報に基づく臨床予測も実施しています。慢性心不全患者の層別化、重症COVID-19患者の転帰予測、集中治療室の管理方法と患者転帰の関連性評価など、機械学習による統計的解析を通じて、患者の多様な病態特性を理解し医療の効率化に貢献する研究を行っています。これらの研究を通じて、医療現場における意思決定支援ツールの実用化を推進しています。

※ 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。

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研究成果（27 件）

[2025] Applying vision transformer to assess multi-scale morphological features in mammography for breast cancer detection: multiscale image morphological extraction vision transformer (MIME-ViT)
DOI: https://doi.org/10.7717/peerj-cs.3252
[2025] Utility of multimodal deep learning model to diagnose lymph node metastasis in esophageal cancer using computed tomography and positron emission tomography images
DOI: https://doi.org/10.1007/s00595-025-03152-5
[2025] Breast cancer classification based on the integration of diagnostic algorithms for calcifications and masses using a mixture of experts
DOI: https://doi.org/10.1371/journal.pone.0331017
[2025] PlaNet-S: an Automatic Semantic Segmentation Model for Placenta Using U-Net and SegNeXt
DOI: https://doi.org/10.1007/s10278-025-01549-9
[2025] Description of Patterns in Reduced-Lead Electroencephalography Performed for Suspected Electrographic Seizures in Pediatric Patients With Altered Mental Status Using Standardized Terminology
DOI: https://doi.org/10.1016/j.pediatrneurol.2025.05.011
[2025] Systemic Primary Carnitine Deficiency Presenting With Substantia Nigra and Basal Ganglia Injury: A Case Report
DOI: https://doi.org/10.1002/jmd2.70014
[2025] BCS-Net: Multi-Task Breast Cancer Screening Network Enhanced by Multi-Modality Attention
DOI: https://doi.org/10.1109/icassp49660.2025.10888652
[2025] Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinoma
DOI: https://doi.org/10.1007/s10388-025-01106-x
[2025] Fulminant cerebellitis with Chiari malformation showing increased blood flow on arterial spin labeling imaging
DOI: https://doi.org/10.1111/ped.70074
[2024] Deep learning model to predict Ki-67 expression of breast cancer using digital breast tomosynthesis
DOI: https://doi.org/10.1007/s12282-024-01549-7

続きを表示（残り 17 件）

[2024] Non-Contrast Enhanced MR Angiography in Pre-Procedural Assessment of Aortic Annulus for Transcatheter Aortic Valve Replacement
DOI: https://doi.org/10.1620/tjem.2024.j129
[2024] Efficacy and safety of buccal midazolam for seizures outside the hospital: Real-world clinical experience
DOI: https://doi.org/10.1016/j.braindev.2024.09.005
[2024] Elevated cerebrospinal fluid neuronal injury biomarkers within 24 hours of onset in infection-triggered acute encephalopathy compared to complex febrile seizures
DOI: https://doi.org/10.1016/j.jns.2024.123238
[2024] Fiery ice: An overview of methane hydrate combustion
DOI: https://doi.org/10.1016/j.pecs.2023.101111
[2023] Reduced-Lead Electroencephalography in Emergency Pediatric Cases of Altered Mental Status According to Standardized Terminology
DOI: https://doi.org/10.2139/ssrn.4379844
[2023] Intensive care unit mortality and cost-effectiveness associated with intensivist staffing: a Japanese nationwide observational study
DOI: https://doi.org/10.1186/s40560-023-00708-w
[2023] Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesis
DOI: https://doi.org/10.1007/s12194-023-00731-4
[2023] Machine Learning Approach to Stratify Complex Heterogeneity of Chronic Heart Failure: A Report from the CHART-2 Study
DOI: https://doi.org/10.1002/ehf2.14288
[2023] <scp>Anti‐MOG</scp> antibody‐positive meningoencephalitis without demyelinating lesions
DOI: https://doi.org/10.1111/ped.15612
[2023] Comparison of neurological manifestation in children with and without coronavirus 2019 experiencing seizures with fever
DOI: https://doi.org/10.1016/j.ebr.2023.100625
[2022] Statistical Analysis of Mortality Rates of Coronavirus Disease 2019 (COVID-19) Patients in Japan Across the 4C Mortality Score Risk Groups, Age Groups, and Epidemiological Waves: A Report From the Nationwide COVID-19 Cohort
DOI: https://doi.org/10.1093/ofid/ofac638
[2022] Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images
DOI: https://doi.org/10.1007/s12194-022-00686-y
[2022] [Suggestions on the application of concepts and types of "Kayoinoba" contributing to long-term care prevention].
DOI: https://doi.org/10.11236/jph.21-140
[2022] Significance of systolic-phase imaging on full-phase ECG-gated CT angiography to detect intimal tears in aortic dissection
DOI: https://doi.org/10.1007/s00380-022-02093-0
[2022] Characterization of BNL and HPK AC-LGAD sensors with a 120 GeV proton beam
DOI: https://doi.org/10.1088/1748-0221/17/05/p05001
[2022] Systemic-pulmonary collateral supply associated with clinical severity of chronic thromboembolic pulmonary hypertension: a study using intra-aortic computed tomography angiography
DOI: https://doi.org/10.1007/s00330-022-08768-6
[2021] Cervical intervertebral separation caused by trauma on post-mortem computed tomography: Possibility of a diagnosis based on intervertebral gas
DOI: https://doi.org/10.1016/j.forsciint.2021.111049

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（27 件）

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