Lin Guo

发表

Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections

Stefan Jaeger, F. Lure, Jin-xin Liu, 2020, Journal of X-ray science and technology.

Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning.

Stefan Jaeger, F. Lure, Ping Wang, 2020, Journal of X-ray science and technology.

Chest radiograph registration and its application based on deep learning segmentation masks

F. Lure, Lin Guo, Lingjun Qian, 2022, Medical Imaging.

Deep learning-based pulmonary tuberculosis automated detection on chest radiography: large-scale independent testing.

Stefan Jaeger, F. Lure, Guanxun Cheng, 2021, Quantitative imaging in medicine and surgery.

Longitudinal changes of laboratory measurements after discharged from hospital in 268 COVID-19 pneumonia patients.

Stefan Jaeger, F. Lure, Lie-guang Zhang, 2021, Journal of X-ray science and technology.

Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models

Jordan D. Fuhrman, M. Giger, Y. Lure, 2023, Medical Imaging.

Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings.

Hengyuan Miao, Ziqi Zhang, Lin Guo, 2021, Journal of X-ray science and technology.

Impact of localized fine tuning in the performance of segmentation and classification of lung nodules from computed tomography scans using deep learning

Y. Lure, Lin Guo, Lingjun Qian, 2023, Frontiers in Oncology.

Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images

Y. Lure, Stefan Jaeger, Guanxun Cheng, 2023, Medical Imaging.

Research progress of artificial intelligence-based imaging diagnosis of infectious diseases

F. Lure, Hongjun Li, Lin Guo, 2022, Radiology of Infectious Diseases.