Work

High Sensitivity Photoacoustic Imaging by Learning From Noisy Data

Year: 2025

Type: article

Source: IEEE Transactions on Medical Imaging

DOI: 10.1109/tmi.2025.3552692

Authors: Xu Tang, Jiangbo Chen, Zheng Qu, Jingyi Zhu, Mohammadreza Amjadian, Mingxuan Yang, Yingpeng Wan, Lidai Wang

Institution: City University of Hong Kong

Language: English

Topic: Photoacoustic and Ultrasonic Imaging

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Research Foundation, National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G4566182074, G6171288897, G7282803097, G7701535254, G8086010527

OpenAlex ID: W4408609529

FWCI: 1.645

Cites: 41

Cited by: 7

Related to: 10