| 1 |
한승철, 이동호. Role of FDG-PET in re-staging of borderline resectable pancreatic cancer after neo-adjuvant treatment
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| 2 |
한승철, 윤정희,김세우,박선근,이정민. Comparison of diagnostic performance between HASTE T2WI using intermediate TE and conventional T2WI in liver MRI
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| 3 |
배재석, 이정민. Validation Of Liver Imaging Reporting And Data System Tumor In Vein Category Using CT And Hepatobiliary Agent-enhanced MR Imaging
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| 4 |
배재석, 이정민. The Diagnostic Performance Of LI-RADS For Diagnosing Hepatocellular Carcinoma In Patients At High Risk According To Background Liver Condition
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| 5 |
박진영,윤정희,이상민,이정섭,장원. Free breathing dynamic T1WI using compressed sensing golden angle radial sparse parallel imaging,comparison with breath hold T1WI
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| 6 |
강효진,이정민,주이진,윤정희. Perfluorobutane-enhanced Ultrasound As A Diagnostic Tool For Hepatocellular Carcinoma In Individuals With High Risk: Intraindividual Comparison With Sulfur Hexafluoride-enhanced Ultrasound
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| 7 |
박성은,이정민,유미혜,이은선,윤정희,김재현,박정훈,주이진. Diagnostic value of liver MRI to differentiate small duct and large duct type of intrahepatic mass forming cholangiocarcinoma and prognostic value of liver MRI to predict survival outcomes
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| 8 |
송지영, 윤순호. 3D-UNet For Automatic Volumetric Vertebral Segmentation From Body CT Images For Opportunistic Osteoporosis Screening
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| 9 |
김민종, 윤순호. Deep Neural Network For Automatic Ascites Segmentation On Abdominal CT Images
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| 10 |
이종혁, 황의진,구진모. Assessment of Nodule Growth on Follow-up Screening Low Dose CTs to Detect Lung Cancer: Comparison Between Lung-RADS, NELSON, and Subjective Assessment by Radiologist
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| 11 |
이종혁,김형진,박창민,전윤경,정두현,김영태,구진모. Prognostic Implication of Predominant Histologic Subtypes in Stage I Lung Adenocarcinoma: Lack of Association with Overall Survival Evidenced from Multi-Aspect Survival Analyses
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| 12 |
남주강, 홍원주,최혜원,이상협,김민철,Thijs Kooi,박창민. Interval Change Detection Of Multiple Abnormalities From Serial Chest Radiographs Using Convolutional Neural Network
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| 13 |
남주강,김형진,강혜진,이창훈,이상민,박창민. Development And Validation Of A Novel Deep Learning-based Survival Prediction Algorithm On COPD Patients Utilizing Chest Radiographs
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| 14 |
김형진, 최혜원,이경희,조석기,박창민,구진모. Validation of Definitions of Central Tumors on CT in Patients with Clinical T1N0M0 Non-small Cell Lung Cancer: A Dual-institution, Multi-reader Study
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| 15 |
안주연,최지웅,이창훈,김경남,Eric A Hoffman, 이창현. Ambient air pollution and quantitative CT measurement of body composition in COPD: a prospective study
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| 16 |
이창현,최지웅,이인규,이창훈,안수연,고홍석,김경남. Quantitative CT analysis of ambient particulate matter exposure-associated multiscale structure and function alteration in healthy, asthma, COPD,and IPF lungs
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| 17 |
김채리,정상훈,김재영,이창현,박은기,이주한. Evaluation of polyhexamethylene guanidine induced lung injuries by chest CT, pathologic examination, and RNA sequencing in a rat model
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| 18 |
박종수, 황의진,구진모. Deep Learning-based Lung Nodule Detection And Classification System In Lung Cancer Screening Population: Improved Radiologists’ Nodule Detection Sensitivity And Inter-reader Agreement
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| 19 |
박종수, 황의진,이종혁,홍원주,남주강,임우현,김재현,박창민,구진모. Identification Of Active Pulmonary Tuberculosis Among Patients With Latent Tuberculosis Infection: Application Of Deep Learning-based Computer-aided Detection System
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| 20 |
박종수, 이종혁,박창민. Usual Interstitial Pneumonia Pattern On Ct: Impact On Complications Associated With Percutaneous Transthoracic Needle Lung Biopsies
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| 21 |
홍원주, 황의진,구진모,박창민. Diagnosis of Pneumothorax after Percutaneous Transthoracic Needle Biopsy on Chest Radiographs: Impact of Clinical implementation of a Deep Learning System
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| 22 |
홍원주, 윤순호,구진모. CT Findings Of Covid-19-associated Pulmonary Aspergillosis: A Systematic Review And Pooled Analysis Of Individual Patient Images
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| 23 |
유승진,윤순호,박영식,최혜원,김다솜,남주강. Prospective evaluation of the performance of deep learning image reconstruction on low-dose and ultralow-dose chest CT
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| 24 |
임우현,박창민. Validation for measurements of skeletal muscle areas using low-dose chest computed tomography
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| 25 |
황의진,박창민,이재윤. Deep learning-based computer-aided detection system for pulmonary metastasis on chest CT: performance in consecutive patients undergoing pulmonary metastasectomy
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| 26 |
김이삭,김영곤,선석규,이종혁,황의진,박창민. Decompose and blend: collaborative utilization of GAN-based anomaly detection and supervised learning in chest radiograph
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| 27 |
최형인, 채희동, 이지민, 조형주, 김재민, 홍성환, 최자영, 류혜진, 예성준. Deep Learning-based Metal Artifact And Noise Reduction In The Lumbar Spine CT
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| 28 |
김택민, 조정연, 김상윤. Prediction Of Hormonal Control Status Using Adrenal Gland Volume In Patients With Classic 21-hydroxlyase Deficiency
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| 29 |
안형우,김택민,황성일,이학종. Another “RADS” tested for broken prostates: PI-RR for postoperative MRI after high-intensity focused ultrasound
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| 30 |
김민관, 김택민, 김상윤, 조정연. Prediction of treatment response following aspiration sclerotherapy of renal cysts on computed tomography
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| 31 |
서준영, 김상윤,조정연, 김택민. Postoperative Gonadal Vein Thrombus After Obgy Surgery : Is Antithrombotic Treatment Essential?
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| 32 |
이지예, 김지훈,유노을,황인평,연은구,강경미. Prediction of Post-biopsy hemorrhage after Ultrasound guided Biopsy of the Thyroid and Neck
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| 33 |
윤태진. A Pivotal Randomized Clinical Trial For Brain CT Interpretation Assisted By A Deep Learning-based Automatic Detection Algorithm For Detecting Acute Intracranial Hemorrhage
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| 34 |
연희라,김수연,이유경,장정민,조나리야,문우경. Predictors of tumor progression during neoadjuvant chemotherapy in triple-negative breast cancer
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| 35 |
하수민,장정민. Comparative effectiveness of intensive semiannual multimodality imaging surveillance for second breast cancer in women with personal history of breast cancer
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| 36 |
이윤성, 이승현. Two-dimensional Shear Wave Elastography For The Prediction Of Hepatic Veno-occlusive Disease Following Hematopoietic Stem Cell Transplantation In Pediatric Patients
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| 37 |
이슬비,조연진,김수현,이승현,최영훈,천정은. Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using deep neural network.
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| 38 |
조연진,하지영, 이슬비, 김수현, 최영훈, 천정은, 김우선. Fast Brain Mri With Artificial Intelligence Reconstruction: Can It Replace Routine Brain Protocols For Pediatric Neuroimaging?
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| 39 |
권려민,정진욱,최태원,김효철. Major complications after conventional chemoembolization in the era of cone beam CT
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| 40 |
송지영,홍남기,윤순호,유혜진,박혜정,이유미. 3D U-net for automatic volumetric vertebral segmentation from body CT images for opportunistic osteoporosis screening
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| 41 |
정새롬,안혜신,최영준,이지예,유노을,백정환. Diagnostic performance of the modified Korean thyroid imaging reporting and data system for thyroid malignancy: a multicenter validation study |