| 42163 |
Radiology |
Deep learning with ultrasonography: automated classification of liver ... |
European radiology |
Lee, Jeonghyun |
2020 |
| 42162 |
Radiology |
Cardiac magnetic resonance-tissue tracking for the early prediction of... |
The International Journal of Cardiovascular Imaging |
Lee, Jeonghyun |
2019 |
| 42161 |
Radiology |
Urinary stone detection on CT images using deep convolutional neural n... |
Radiology: Artificial Intelligence |
Lee, Jeonghyun |
2019 |
| 42160 |
Radiology |
Usefulness of non-contrast MR imaging in distinguishing pancreatic duc... |
Clinical Imaging |
Lee, Jeonghyun |
2019 |
| 42159 |
Radiology |
Predicting clinical outcome with phenotypic clusters using quantitativ... |
Plos one |
Lee, Jeonghyun |
2019 |
| 42158 |
Radiology |
Performance of deep learning model in detecting operable lung cancer w... |
Journal of thoracic imaging |
Lee, Jeonghyun |
2019 |
| 42157 |
Radiology |
Magnetic resonance findings of hepatic epithelioid hemangioendotheliom... |
Abdominal Radiology |
Lee, Jeonghyun |
2017 |
| 42156 |
|
Role of high-resolution magnetic resonance imaging in the diagnosis of... |
J Clin Neurol. |
Kim, Junpyo |
2014 |
| 42155 |
Radiology |
Temporal evolution of a chronic expanding organizing hematoma on MRI, ... |
Investigative Magnetic Resonance Imaging |
Lee, Jeonghyun |
2017 |
| 42154 |
|
Is atrial fibrillation always a culprit of stroke in patients with atr... |
Cerebrovasc Dis. |
Kim, Junpyo |
2013 |
