論文

• 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.

国際会議発表 (査読有り)

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Kenji Suzuki. 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)

• 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.
• 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.
• 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.

国際会議発表 (査読なし・不明)

• 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.

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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