Author of the publication

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.

, , , , , , , and . Comput. Biol. Medicine, (February 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-seq Data via DeeReCT-TSS., , , , , , , , , and 2 other author(s). Genom. Proteom. Bioinform., 20 (5): 959-973 (October 2022)A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis., , , , , , , , , and 6 other author(s). IEEE Trans. Medical Imaging, 39 (8): 2638-2652 (2020)Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost., , and . CoRR, (2023)Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy., , , , , , , , , and 4 other author(s). CoRR, (2024)Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI., , , , , , , and . CoRR, (2023)AB-Gen: Antibody Library Design with Generative Pre-Trained Transformer and Deep Reinforcement Learning., , , , , , , and . Genom. Proteom. Bioinform., 21 (5): 1043-1053 (2023)DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning., , , , , , , , , and 1 other author(s). Genom. Proteom. Bioinform., 20 (3): 483-495 (2022)Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI., , , , , , , and . Comput. Biol. Medicine, (February 2024)SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information., , , and . Bioinform., 38 (21): 4878-4884 (October 2022)An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors., , , , , , , , , and 9 other author(s). Nat. Mach. Intell., 4 (5): 494-503 (2022)