論文

• Rahmaniar W., Suzuki K.. Multi-AD: Cross-Domain Unsupervised Anomaly Detection for Medical and Industrial Applications, Pattern Recognition, Elsevier, Sept. 2025.
• Takagi G., Takeyama S., Abe T., Hashiguchi A., Sakamoto M., Suzuki K., Yamaguchi M. Quantification-based eXplainable Artificial Intelligence (QXAI) for Deep Learning Decisions - Clustering and Visualization of Quantitative Morphometric Features in Hepatocellular Carcinoma Discrimination, Journal of Medical Imaging, Vol. 12, No. 6, Sept. 2025.
• Liu D., Kenji Suzuki. Edge- and Color-texture-aware Bag-of-Local-Features Model for Accurate, Diagnostics, vol. 15, no. 15, July 2025.
• Yang Y., Sato M., Jin Z., Suzuki K. Patch-based Deep-learning Model with Limited Training Dataset for Liver Tumor Segmentation in Contrast-enhanced Hepatic Computed Tomography, IEEE Access, IEEE, Vol. 13, pp. 86863-86873, May 2025.
• Rahmaniar W., Deng Z., Yang Y., Jin Z., Suzuki K.. Future of the Medical World: Collaborative Medical Imaging AI with Federated Learning, IEEE Consumer Electronics Magazine, Feb. 2025.
• Deng Z., Yang Y., Suzuki K.. Federated Active Learning Framework for Efficient Annotation Strategy in Skin-Lesion Classification, Journal of Investigative Dermatology, vol. 145, no. 2, pp. 303-311, Feb. 2025.

著書

• Ou Y., Rahmaniar W., Liu D., Oshibe H., Jin Z., Kamishima T., Suzuki K.:. Computer-Aided Diagnosis and Monitoring of Rheumatoid Arthritis in Conventional Radiography, Springer, pp. 137-154, Oct. 2025.

国際会議発表 (査読有り)

• Zu J., Jin Z., Rahmaniar W., Suzuki K.. Synthesizing Virtual High-Dose Images from Low-Dose Images Using DD-MNet with Dual-Domain Denoising and Detail Reconstruction in Digital Mammography, Nov. 2025.
• Yanhong he., Ou Y., Dai P., Yang Y., Jin Z., Suzuki K.:. Orientation-Consistent Patch Sampling Method Based on Centerline for Colon Segmentation in CT, Nov. 2025.
• Kodera S., Chavoshian S.M., Oshibe H., Jin Z., Suzuki K.. Difficulty-Based Active Boosting for Robust Lung Nodule Classification with Multi-Expert MTANN Ensemble, Nov. 2025.
• Beltaief F., Rahmaniar W., Jin Z., Suzuki K.. Knowledge Distillation for Lesion Detection and Classification on DBT for Limited Datasets Using Deep Learning, Nov. 2025.
• Billah M., Liu D., Suzuki K.. Small-data AI: Semi-Supervised Contrastive-Learning (SSCL-MTANN) for Classification Between Malignant and Benign Lung Nodules in 3D CT in Small Sample-Size Scenario, Nov. 2025.
• Liu D., Hori M., Sofue K., Murakami T., Suzuki K.. Transparent AI for Liver Cancer Diagnosis in MRI with Explanations in LI-RADS Language, Nov. 2025.
• Zhang H., Rahmaniar W., Yang Y., Nakatani F., Miyake M., Suzuki K.. Sequence-Aware MTANN for Segmentation of Rare Soft-Tissue Sarcomas in Multi-Sequence MRI with Missing Sequences, Nov. 2025.
• Mishima K., Casademunt A.B., Petridis S., Pantic M., Suzuk K.. FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion, The 36th British Machine Vision Conference (BMVC 2025), Nov. 2025.
• Wang H., Ou Y., Ambalathankandy P., Ota G., Dai P., Ikebe M., Suzuki K., Kamishima T.. Layer Separation: Towards Adjustable Joint Space Width Images Synthesis, 33rd ACM International Conference on Multimedia (ACM Multimedia 2025), Oct. 2025.
• Dai P., Ou Y., Yang Y., Jin Z., Suzuki K.. GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs, The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), Sept. 2025.
• Zhang H., Yang Y., Jin Z., Suzuki K. Sequence-aware MTANN for Semantic Segmentation of Rare Cancer in Multisequence MRI with Small Data Training, 40th Computer Assisted Radiology and Surgery (CARS 2025), June 2025.
• Wang H., Ou Y., Ambalathankandy P., Ota G., Dai P., Ikebe M., Suzuki K., Kamishima T.. BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25), Mar. 2025.

国内会議発表 (査読有り)

• Chenggeer Li, JIN ZE, Oshibe H., 竹下 尋紳, Waki T., Ibara T., Fujita K., 鈴木 賢治. スモールデータ MTANN による X 線画像上の舟状骨骨折自動検出システムの開発, 第44回日本医用画像工学会大会 (JAMIT 2025), Aug. 2025.
• XU YAFANGZHOU, JIN ZE, Sudo T., Watanabe H., 鈴木 賢治. MTANN を用いた AI イメージングによる歯科用コーンビーム CT における放射線被ばく低減手法の開発, 第44回日本医用画像工学会大会 (JAMIT 2025), Aug. 2025.
• Tenma Morikawa, Yafei Ou, Yuqiao Yang, Ze Jin, Kenji Suzuki. Improving Federated Learning for Skin Lesion Classification with Weight Perturbation Optimization to the ETF Classifier, 第44回日本医用画像工学会大会 (JAMIT 2025), Aug. 2025.

国際会議発表 (査読なし・不明)

• Kenji Suzuki. Small-Data AI for Diagnosis of Rare Lesions in Medical Images and Medical AI Imaging, 2025 10th International Conference on Biomedical Imaging, Signal Processing (ICBSP 2025), Oct. 2025.
• Kenji Suzuki. Small-Data Deep Learning for Diagnosis of Lesions and Medical AI Imaging, Sino-Japanese Joint Symposium on Medical Intelligent Computing (SJJSMIC 2025), Sept. 2025.
• Kenji Suzuki. Small-Data Deep Learning for Diagnosis of Lesions in Medical Images and Medical AI Imaging, KAIST Day for Igniting MICCAI 2025, Sept. 2025.
• Kenji Suzuki. Small-Data Deep Learning for Diagnosis of Lesions in Medical Images, 2025 2nd International Conference on Advanced Robotics, Automation Engineering and Machine Learning (ARAEML 2025), July 2025.
• Kenji Suzuki. Small-Data Deep Learning for Diagnosis of Lesions and Medical AI Imaging, The 2025 7th International Conference on Intelligent Medicine and Image Processing (IMIP 2025), Mar. 2025.
• Kenji Suzuki. Small-Data Deep Learning for AI-Aided Diagnosis and Virtual AI Imaging, The 9th International Conference on Machine Learning and Soft Computing (ICMLSC 2025), Jan. 2025.

国内会議発表 (査読なし・不明)

• 鈴木賢治. 国際医療LLM/ LMMの社会実装に向けて, SIP第3期「統合型ヘルスケアシステムの構築における生成AIの活用」公開シンポジウム, Apr. 2025.
• 鈴木賢治. スモールデータ深層学習による医用画像診断AI, JST未来社会創造事業 eAIプロジェクト成果公開シンポジウム, Jan. 2025.

特許など

• 鈴木賢治. ネットワーク解析システム、ネットワーク解析方法及びプログラム. 特許. 公開. 国立大学法人東京工業大学. 2024/03/08. PCT/JP2024/009074. 2025/01/30. WO 2025/022705. 2025.

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