| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A new method to screen high-risk COPD populations: machine learning-based cascade classification models based on low-dose CT scan
|
Pu, Yu
|
|
|
7 |
1 |
p. 28-39
|
article
|
| 2 |
Application of deep learning in analysing morphological parameters of cervical computed tomography scans
|
Li, Yuan
|
|
|
7 |
1 |
p. 50-57
|
article
|
| 3 |
Application of imaging methods and the latest progress in sarcopenia
|
Li, Chunli
|
|
|
7 |
1 |
p. 15-27
|
article
|
| 4 |
Application research of pulmonary nodule localization techniques in video-assisted thoracic surgery
|
Liu, Li
|
|
|
7 |
1 |
p. 40-49
|
article
|
| 5 |
Can ChatGPT write radiology reports?
|
Biswas, Som
|
|
|
7 |
1 |
p. 102-106
|
article
|
| 6 |
Evaluation of accelerated magnetic resonance imaging with simultaneous multi-slice of the head and neck region
|
Su, Tong
|
|
|
7 |
1 |
p. 58-65
|
article
|
| 7 |
Evaluation of immune microenvironment in hepatocellular carcinoma: current advances in CT and MRI imaging techniques
|
Chenyu, Song
|
|
|
7 |
1 |
p. 8-14
|
article
|
| 8 |
Hotspots evolution and trend analysis of artificial intelligence applied in hepatocellular carcinoma since 2012: a bibliometric analysis
|
Dai, Yanmei
|
|
|
7 |
1 |
p. 66-78
|
article
|
| 9 |
Prognostic assessment of coronary artery bypass patients based on coronary CTA: vessel weight and native artery lesions aid in predicting cardiovascular events
|
Han, Liwen
|
|
|
7 |
1 |
p. 79-91
|
article
|
| 10 |
Pulmonary contusions and lacerations: CT findings that every radiologist must know
|
Dallagnol, Camilo
|
|
|
7 |
1 |
p. 1-7
|
article
|
| 11 |
Vaccination effect on patients with Delta variant of COVID-19 pneumonia: a study of longitudinal dynamic chest CTs using artificial intelligence model
|
Xin, Xiaoyan
|
|
|
7 |
1 |
p. 92-101
|
article
|
Journal description