Journal Paper

• 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.

International Conference (Reviewed)

• 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.
• 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.
• 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.
• 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.
• 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.

Domestic Conference (Reviewed)

• 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.
• Chenggeer Li, Jin Z., Oshibe H., Takeshita J., Waki T., Ibara T., Fujita K., Suzuki K.. 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 Y., Jin Z., Sudo T., Watanabe H., Suzuki K.. 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.

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