Hyewon Choi

发表

Erratum: Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation

Sang Joon Park, Eui Jin Hwang, J. Nam, 2020, Radiology. Cardiothoracic imaging.

Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation

Soon Ho Yoon, Jin Mo Goo, Xiaolong Qi, 2020, Radiology. Cardiothoracic imaging.

A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed Tomography

J. Goo, Hyungjin Kim, H. Lee, 2022, Journal of thoracic imaging.

CT-defined visual emphysema in smokers with normal spirometry: association with prolonged air leak and other respiratory complications after lobectomy for lung cancer

J. Goo, Hyungjin Kim, C. Kang, 2022, European Radiology.

Artificial intelligence system for identification of false-negative interpretations in chest radiographs

J. Nam, E. J. Hwang, J. Goo, 2022, European Radiology.

Association of Adipopenia at Preoperative PET/CT with Mortality in Stage I Non-Small Cell Lung Cancer.

J. Goo, C. Kang, Hyewon Choi, 2021, Radiology.

Validation of deep learning-based fully automated coronary artery calcium scoring using non-ECG-gated chest CT in patients with cancer

Hyewon Choi, I. Cho, S. You, 2022, Frontiers in Oncology.

Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network

Eui Jin Hwang, J. Nam, E. J. Hwang, 2021, European Radiology.

Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs

E. J. Hwang, J. Goo, C. Park, 2020, European Radiology.

COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system

J. Nam, E. J. Hwang, J. Goo, 2021, PloS one.

Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning-based Detection Algorithm.

Eui Jin Hwang, J. Nam, E. J. Hwang, 2020, Radiology. Cardiothoracic imaging.

Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring

Hyewon Choi, Whal Lee, C. Ahn, 2022, European Radiology.

Patient‐reported assessment of self‐management strategies of health in cancer patients: development and validation of the Smart Management Strategy for Health Assessment Tool (SAT)

W. Han, D. Noh, J. Oh, 2015, Psycho-oncology.

Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study

Eui Jin Hwang, J. Nam, E. J. Hwang, 2020, European Radiology.

Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques

J. Nam, J. Goo, Jong Hyo Kim, 2021, European Radiology.

Definitions of Central Tumors in Radiologically Node-negative, Early-stage Lung Cancer for Preoperative Mediastinal Lymph Node Staging: A Dual-institution, Multi-reader Study.

J. Goo, C. Park, Hyungjin Kim, 2021, Chest.

Central Tumor Location at Chest CT Is an Adverse Prognostic Factor for Disease-Free Survival of Node-Negative Early-Stage Lung Adenocarcinomas.

J. Goo, C. Park, Hyungjin Kim, 2021, Radiology.