Ze Jin 研究室

主宰者：Ze Jin

東京工業大学

AI 要約（直近 5 年の研究成果）

Ze Jin研究室は、医療画像解析と心臓疾患の治療支援を中心に研究を展開しています。機械学習と深層学習を用いて、コンピュータ断層撮影（CT）や磁気共鳴画像（MRI）などの医療画像から腫瘍や異常部位を自動認識・定量化する手法を開発しています。特に、限られたデータセットでも高精度な学習が可能な神経網モデルの構築に力を入れており、放射線被曝量の削減や診断効率の向上を目指しています。心臓分野では、心房細動（不整脈の一種）の治療に関する研究が活発です。患者の心臓CT画像と電気生理学的マッピング情報を組み合わせた「デジタルツイン」と呼ばれるシミュレーションモデルを構築し、カテーテル治療の効果予測や薬物療法の最適化を行っています。このモデルにより、実際の患者治療前に複数の治療戦略を仮想的に検証することが可能になります。また同研究室では、多層的な情報の統合と処理に関する基礎研究も進めています。音響信号の周波数解析、マルチモーダルデータ融合、二相流動の特性把握など、医療以外の工学的課題にも機械学習手法を応用しており、広範な分野での問題解決を目指しています。

※ 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（32 件）

[2025] Patch-Based Deep-Learning Model With Limited Training Dataset for Liver Tumor Segmentation in Contrast-Enhanced Hepatic Computed Tomography
DOI: https://doi.org/10.1109/access.2025.3570728
[2025] UKANCNet: Multi-scale feature fusion with UKAN enhancement for micro wind turbine blade defect segmentation
DOI: https://doi.org/10.1016/j.eswa.2025.130170
[2025] Gas slug frequency measurement and modeling based on acoustic emission and machine learning
DOI: https://doi.org/10.1063/5.0276333
[2025] Comparative druggability of PD-1/PD-L1 inhibitors (A56, HD10): Cross-species differences in PD-L1 exposure and efficacy
DOI: https://doi.org/10.1016/j.bmc.2025.118268
[2025] Bioorthogonal catalytic microvesicle-mediated prodrug activation against liver cancer
DOI: https://doi.org/10.1016/j.xphs.2025.103774
[2024] Microalgae-loaded biocompatible alginate microspheres for tissue repair
DOI: https://doi.org/10.1016/j.ijbiomac.2024.132534
[2024] Extracellular vesicles derived from immune cells: Role in tumor therapy
DOI: https://doi.org/10.1016/j.intimp.2024.112150
[2024] Plant-derived exosome-like nanovesicles: A novel nanotool for disease therapy
DOI: https://doi.org/10.1016/j.heliyon.2024.e30630
[2024] Anti- and pro-fibrillatory effects of pulmonary vein isolation gaps in human atrial fibrillation digital twins
DOI: https://doi.org/10.1038/s41746-024-01075-y
[2024] Sequential surgery for the treatment of type I knee ankylosis: a series of 62 cases
DOI: https://doi.org/10.1111/ans.18945

続きを表示（残り 22 件）

[2024] Lycorine ameliorates liver steatosis, oxidative stress, ferroptosis and intestinal homeostasis imbalance in MASLD mice
DOI: https://doi.org/10.1186/s10020-024-01003-6
[2024] Graph Reconstruction Attention Fusion Network for Multimodal Sentiment Analysis
DOI: https://doi.org/10.1109/tii.2024.3452204
[2023] Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks
DOI: https://doi.org/10.1117/12.2652265
[2023] EFCOMFF-Net: A Multiscale Feature Fusion Architecture With Enhanced Feature Correlation for Remote Sensing Image Scene Classification
DOI: https://doi.org/10.1109/tgrs.2023.3255211
[2023] Abstract 14702: Roles of Atrial Mass Reduction and Gaps on the Anti-Atrial Fibrillatory Effects of Pulmonary Vein Isolation: A Computational Modeling Study
DOI: https://doi.org/10.1161/circ.148.suppl_1.14702
[2023] Heart Sounds Classification Based on High‐Order Spectrogram and Multi‐Convolutional Neural Network after a New Screening Strategy
DOI: https://doi.org/10.1002/adts.202300549
[2023] AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images
DOI: https://doi.org/10.1088/1361-6560/acf7a8
[2023] Wind Speed Prediction with Deep Learning Method
DOI: https://doi.org/10.1109/icipca59209.2023.10257864
[2023] Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels
DOI: https://doi.org/10.1109/embc40787.2023.10340529
[2023] Artificial intelligence-guided automated measurement of pulmonary vein diameter in patients with atrial fibrillation
DOI: https://doi.org/10.1093/europace/euad122.538
[2023] Clinical application of virtual antiarrhythmic drug test using digital twins in patients who recurred atrial fibrillation after catheter ablation
DOI: https://doi.org/10.1093/europace/euad122.076
[2023] The relationship between high dominant frequency and low voltage areas in patients with atrial fibrillation: digital twin study
DOI: https://doi.org/10.1093/europace/euad122.577
[2023] SMFE-Net: a saliency multi-feature extraction framework for VHR remote sensing image classification
DOI: https://doi.org/10.1007/s11042-023-15759-2
[2022] Ablation and antiarrhythmic drug effects on PITX2+/− deficient atrial fibrillation: A computational modeling study
DOI: https://doi.org/10.3389/fcvm.2022.942998
[2022] Anti-atrial Fibrillation Effects of Pulmonary Vein Isolation With or Without Ablation Gaps: A Computational Modeling Study
DOI: https://doi.org/10.3389/fphys.2022.846620
[2022] FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis
DOI: https://doi.org/10.1109/smc53654.2022.9945452
[2021] Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype
DOI: https://doi.org/10.3389/fphys.2021.650449
[2021] Mechanically Robust and Flexible Perovskite Solar Cells via a Printable and Gelatinous Interface
DOI: https://doi.org/10.1021/acsami.1c00813
[2021] Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size
DOI: https://doi.org/10.1109/isbi48211.2021.9433929
[2021] Massive-Training Artificial Neural Network (Mtann) With Special Kernel For Artifact Reduction In Fast-Acquisition Mri Of The Knee
DOI: https://doi.org/10.1109/isbi48211.2021.9434060
[2021] Prediction of genetically-evaluated tumour responses to chemotherapy from breast MRI using machine learning with model selection
DOI: https://doi.org/10.1088/1742-6596/1780/1/012040
[2021] Spatial Changes in the Atrial Fibrillation Wave-Dynamics After Using Antiarrhythmic Drugs: A Computational Modeling Study
DOI: https://doi.org/10.3389/fphys.2021.733543

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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（32 件）

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