MGTP: Multi-Granularity Textual Prompts for Low-Dose Brain PET Image Denoising via Adversarial Diffusion Model

Jiaqi Cui(China Pharmaceutical University), Dinggang Shen(ShanghaiTech University), Xi Wu(Chengdu University of Information Technology), Xinyi Zeng(Sichuan University), Xiong Deng(Ministry of Education of the People's Republic of China), Bo Liu(Jilin University), Jiliu Zhou(Sichuan University), Pinxian Zeng(Sichuan University)
IEEE Journal of Biomedical and Health Informatics
October 27, 2025
10.1109/jbhi.2025.3625572
Cited by 0

Related Papers

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
|NeuroImage|2015|830
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis
|Lecture notes in computer science|2014|485
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
|Neurobiology of Aging|2006|383
Late Fusion Incomplete Multi-View Clustering
|IEEE Transactions on Pattern Analysis and Machine Intelligence|2018|363
Impact of Examined Lymph Node Count on Precise Staging and Long-Term Survival of Resected Non–Small-Cell Lung Cancer: A Population Study of the US SEER Database and a Chinese Multi-Institutional Registry
|Journal of Clinical Oncology|2017|358