Browsing by Keyword : Deep Learning

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Showing results 1 to 33 of 33

Pub YearTitleAuthor(s)
2024A De-Identification Model for Korean Clinical Notes: Using Deep Learning Models박래웅
2023A Deep Learning-Based Automatic Collateral Assessment in Patients with Acute Ischemic Stroke이진수, 홍지만
2022A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation김재근, 이제희, 허지미
2020Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning박래웅
2019Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT하은주
2020Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training하은주
2021Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease윤정한
2023Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels황지선
2020Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer정승연
2021Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery정승연
2022Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT이영수
2020Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study김은영, 노현웅, 손상준, 윤덕용, 홍창형
2021Deep learning for anatomical interpretation of video bronchoscopy images강세윤, 박성용, 유지영
2022Deep learning model for tongue cancer diagnosis using endoscopic images김철호, 신유섭, 장전엽, 허재성
2023Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI이다현
2023Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : a retrospective cohort study손상용, 송정호, 신호정, 한상욱, 허훈
2023Deep Learning-Based Automatic Detection and Grading of Motion-Related Artifacts on Gadoxetic Acid-Enhanced Liver MRI허지미
2019Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model윤덕용, 임홍석, 정경원
2023Deep learning-based image reconstruction improves radiologic evaluation of pituitary axis and cavernous sinus invasion in pituitary adenoma이다현
2024Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study이다현
2024Deep learning–radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients김철호, 노진, 유슬기, 허재성
2020Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography허지미
2021Development of a predictive model for adverse drug reactions using unstructured nursing records박호준
2020Discovering hidden information in biosignals from patients using artificial intelligence윤덕용
2021Effectiveness of transfer learning for deep learning-based electrocardiogram analysis윤덕용
2021Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy정승연
2023Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model박래웅
2019Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data문소영
2022Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI허수빈
2023Prediction of the number of asthma patients using environmental factors based on deep learning algorithms박해심, 장재혁
2022Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study김태희
2022Strategy for Improving Generalizability of Medical Imaging Artificial Intelligence Model신서정
2021Style transfer strategy for developing a generalizable deep learning application in digital pathology노진, 박래웅