"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",2025,Feb.
"Deng Z.,Jin Z.,Suzuki K.","Dual-domain MTANN for virtual high-dose imaging in digital breast tomosynthesis (DBT)","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024)",,,,,,2024,Dec.
"Rahmaniar W,Deng Z.,Yang Y.,Jin Z.,Suzuki K.","Decentralized Diagnostics: The Role of Federated Learning in Modern Medical Imaging",,"Advances in Intelligent Disease Diagnosis and Treatment","Springer",,,"pp. 223-239",2024,Sept.
"Deng Z.,Jin Z.,Suzuki K.","Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels","45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023)",,,,,,2023,July
"Zhipeng Deng,Ze Jin,Kenji Suzuki","Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means  of Multi-scale-Kernel Massive-Training Artificial Neural Network (MTANN)  for Generating Virtual High-Dose Images","European Congress of Radiology (ECR 2023)",,,,,,2023,Mar.
"Zhipeng Deng,Yuqiao Yang,Ze Jin,Kenji Suzuki","FedAL: An Federated Active Learning Framework for Ef?cient Labeling in Skin Lesion Analysis","International Conference on Systems, Man, and Cybernetics (IEEE SMC 2022)",,,,,,2022,Oct.