E. J. Hwang

发表

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Eui Jin Hwang, J. Nam, Sunggyun Park, 2019, Radiology.

Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

Eui Jin Hwang, Sunggyun Park, E. J. Hwang, 2019, JAMA network open.

Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement

E. J. Hwang, J. Goo, C. Park, 2018, European Radiology.

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.

Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

E. J. Hwang, Jong Hyuk Lee, J. Goo, 2020, European Radiology.

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.

Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability

Sang Joon Park, E. J. Hwang, Jong Hyuk Lee, 2016, PloS one.

Time-dependent analysis of incidence, risk factors and clinical significance of pneumothorax after percutaneous lung biopsy

E. J. Hwang, Jong Hyuk Lee, J. Goo, 2018, European Radiology.

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs

Eui Jin Hwang, Sunggyun Park, E. J. Hwang, 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

Sunggyun Park, E. J. Hwang, Jong Hyuk Lee, 2019, European Radiology.

Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges

E. J. Hwang, C. Park, 2020, Korean journal of radiology.

Utility of FDG PET/CT for Preoperative Staging of Non-Small Cell Lung Cancers Manifesting as Subsolid Nodules With a Solid Portion of 3 cm or Smaller.

E. J. Hwang, Jong Hyuk Lee, J. Goo, 2019, AJR. American journal of roentgenology.

Implementation of the cloud-based computerized interpretation system in a nationwide lung cancer screening with low-dose CT: comparison with the conventional reading system

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

Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology

Sang Min Lee, Eui Jin Hwang, E. J. Hwang, 2021, Journal of thoracic disease.

Microscopic Invasions, Prognoses, and Recurrence Patterns of Stage I Adenocarcinomas Manifesting as Part-Solid Ground-Glass Nodules

Eui Jin Hwang, E. J. Hwang, J. Goo, 2016, Medicine.

Open Bronchus Sign on CT: A Risk Factor for Hemoptysis after Percutaneous Transthoracic Biopsy

Eui Jin Hwang, E. J. Hwang, Jong Hyuk Lee, 2018, Korean journal of radiology.

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

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

Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.

Jin Mo Goo, Chang Min Park, Eui Jin Hwang, 2019, Radiology.

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

Sunggyun Park, E. J. Hwang, Jong Hyuk Lee, 2019, European Radiology.

Usefulness of metal artifact reduction algorithm for orthopedic implants (O-MAR) for evaluation of abdominal CT: results in phantom and clinical study

E. J. Hwang, B. Choi, J. Han, 2014 .

Quantitative Thoracic Magnetic Resonance Criteria for the Differentiation of Cysts from Solid Masses in the Anterior Mediastinum

E. J. Hwang, J. Goo, Hyungjin Kim, 2019, Korean journal of radiology.

Clinical Implications of Size of Cavities in Patients With Nontuberculous Mycobacterial Pulmonary Disease: A Single-Center Cohort Study

E. J. Hwang, J. Yim, Sung A. Kim, 2020, Open forum infectious diseases.

Persistent pulmonary subsolid nodules: How long should they be observed until clinically relevant growth occurs?

E. J. Hwang, C. Park, 2019, Journal of thoracic disease.

Determination of the optimum definition of growth evaluation for indeterminate pulmonary nodules detected in lung cancer screening

Eui Jin Hwang, E. J. Hwang, Jong Hyuk Lee, 2022, PloS one.

3-hydroxymorphinan enhances mitochondrial biogenesis and adipocyte browning through AMPK-dependent pathway.

E. J. Hwang, J. Jeong, Hyoung‐Chun Kim, 2021, Biochemical and biophysical research communications.

Meteorin-like protein (METRNL)/IL-41 improves LPS-induced inflammatory responses via AMPK or PPARδ-mediated signaling pathways.

E. J. Hwang, A. A. Abd El-Aty, J. Jeong, 2021, Advances in medical sciences.

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.

Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs

Eui Jin Hwang, J. Nam, E. J. Hwang, 2020, European Respiratory Journal.

Optimum diameter threshold for lung nodules at baseline lung cancer screening with low-dose chest CT: exploration of results from the Korean Lung Cancer Screening Project

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

2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radiology

Sang Min Lee, Eui Jin Hwang, E. J. Hwang, 2020, Korean journal of 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.

Persistent part-solid nodules with solid part of 5 mm or smaller: Can the ‘follow-up and surgical resection after interval growth’ policy have a negative effect on patient prognosis?

E. J. Hwang, Jong Hyuk Lee, J. Goo, 2016, European Radiology.

Variability in interpretation of low-dose chest CT using computerized assessment in a nationwide lung cancer screening program: comparison of prospective reading at individual institutions and retrospective central reading

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

Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

Sang Min Lee, Eui Jin Hwang, E. J. Hwang, 2021, Korean journal of radiology.

Switching bipolar hepatic radiofrequency ablation using internally cooled wet electrodes: comparison with consecutive monopolar and switching monopolar modes.

J. M. Lee, E. J. Hwang, B. Choi, 2015, The British journal of radiology.

BJRD14468 1..9

J. M. Lee, E. J. Hwang, J. Yoon, 2015 .

Monopolar Radiofrequency Ablation Using a Dual-Switching System and a Separable Clustered Electrode: Evaluation of the In Vivo Efficiency

Joon Koo Han, Byung Ihn Choi, Jeong Hee Yoon, 2014, Korean journal of radiology.

Frequency, outcome, and risk factors of contrast media extravasation in 142,651 intravenous contrast-enhanced CT scans

E. J. Hwang, C. Park, Y. Choi, 2018, European Radiology.

Relationship Between Ktrans and K1 with Simultaneous Versus Separate MR/PET in Rabbits with VX2 Tumors.

Eui Jin Hwang, G. Cheon, E. J. Hwang, 2017, Anticancer research.

Predictive CT Features of Visceral Pleural Invasion by T1-Sized Peripheral Pulmonary Adenocarcinomas Manifesting as Subsolid Nodules.

E. J. Hwang, Jong Hyuk Lee, J. Goo, 2017, AJR. American journal of roentgenology.

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.

Early response evaluation for recurrent high grade gliomas treated with bevacizumab: a volumetric analysis using diffusion-weighted imaging

E. J. Hwang, S. Choi, C. Sohn, 2013, Journal of Neuro-Oncology.

Pulmonary adenocarcinomas appearing as part-solid ground-glass nodules: Is measuring solid component size a better prognostic indicator?

Jin Mo Goo, Young Tae Kim, Chang Min Park, 2015, European Radiology.

Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19

E. J. Hwang, J. Goo, C. Park, 2020, Korean journal of radiology.

Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial

Eui Jin Hwang, J. Nam, E. J. Hwang, 2023, Korean journal of radiology.

Deep Learning for Detecting Pneumothorax on Chest Radiographs after Needle Biopsy: Clinical Implementation.

E. J. Hwang, Jong Hyuk Lee, J. Goo, 2022, Radiology.

Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.

Eui Jin Hwang, E. J. Hwang, Jong Hyuk Lee, 2021, Radiology.

Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population.

Eui Jin Hwang, Sunggyun Park, E. J. Hwang, 2020, Radiology.

Thoracic recurrence in patients with curatively-resected colorectal cancer: incidence, risk factors, and value of chest CT as a postoperative surveillance tool

E. J. Hwang, J. Goo, C. Park, 2018, European Radiology.

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.

Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial

J. Nam, E. J. Hwang, J. Goo, 2021, European Radiology.

A narrative review of deep learning applications in lung cancer research: from screening to prognostication

E. J. Hwang, Jong Hyuk Lee, C. Park, 2021, Translational lung cancer research.

AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial.

Eui Jin Hwang, J. Nam, E. J. Hwang, 2023, Radiology.

Significant Abnormalities Other than Lung Cancer in Korean Lung Cancer CT Screening

Eui Jin Hwang, E. J. Hwang, J. Goo, 2019, Journal of the Korean Society of Radiology.

Retrospective assessment of interobserver agreement and accuracy in classifications and measurements in subsolid nodules with solid components less than 8mm: which window setting is better?

Eui Jin Hwang, E. J. Hwang, J. Goo, 2017, European Radiology.

Growth and Clinical Impact of 6-mm or Larger Subsolid Nodules after 5 Years of Stability at Chest CT.

J. Nam, E. J. Hwang, Jong Hyuk Lee, 2020, Radiology.

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs Radiology

J. Nam, Sunggyun Park, E. J. Hwang, 2019 .

Measurement of Multiple Solid Portions in Part‐Solid Nodules for T Categorization: Evaluation of Prognostic Implication

E. J. Hwang, J. Goo, C. Park, 2018, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Deep learning computer-aided detection system for pneumonia in febrile neutropenia patients: a diagnostic cohort study

Eui Jin Hwang, E. J. Hwang, Jong Hyuk Lee, 2021, BMC Pulmonary Medicine.

Usefulness of a metal artifact reduction algorithm for orthopedic implants in abdominal CT: phantom and clinical study results.

Joon Koo Han, Cheong-Il Shin, Byung Ihn Choi, 2015, AJR. American journal of roentgenology.

Digital Tomosynthesis for Evaluating Metastatic Lung Nodules: Nodule Visibility, Learning Curves, and Reading Times

Sang Min Lee, E. J. Hwang, J. Goo, 2015, Korean journal of radiology.

Temporal Changes of Texture Features Extracted From Pulmonary Nodules on Dynamic Contrast-Enhanced Chest Computed Tomography: How Influential Is the Scan Delay?

Jin Mo Goo, Chang Min Park, Yong Sub Song, 2016, Investigative radiology.

Cone beam computed tomography virtual navigation-guided transthoracic biopsy of small (≤ 1 cm) pulmonary nodules: impact of nodule visibility during real-time fluoroscopy.

Eui Jin Hwang, E. J. Hwang, J. Goo, 2018, The British journal of radiology.

Risk factors for haemoptysis after percutaneous transthoracic needle biopsies in 4,172 cases: Focusing on the effects of enlarged main pulmonary artery diameter

E. J. Hwang, J. Goo, C. Park, 2018, European Radiology.