Browsing by Keyword : deep learning
Showing results 1 to 14 of 14
| Pub Year | | Title | Author(s) |
| 2022 | | Artificial Intelligence Mortality Prediction Model for Gastric Cancer Surgery Based on Body Morphometry, Nutritional, and Surgical Information: Feasibility Study | 허지미, 허훈 |
| 2023 | | Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study | 이광노 |
| 2023 | | Auditory Brainstem Response Data Preprocessing Method for the Automatic Classification of Hearing Loss Patients | 장정훈 |
| 2018 | | Automatic segmentation of head anatomical structures from sparsely-annotated images | 정민석 |
| 2023 | | Classification of ICD-O-3 codes from pathology report using natural language processing | 김현미 |
| 2023 | | Comprehensive clinical evaluation of deep learning-based auto-segmentation for radiotherapy in patients with cervical cancer | 정승연 |
| 2020 | | Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study | 김은영, 노현웅, 손상준, 윤덕용, 홍창형 |
| 2023 | | Deep learning model for the diagnosis of breast cancers smaller than 1 cm with ultrasonography: integration of ultrasonography and clinical factors | 김태희 |
| 2023 | | Deep Learning-Based Automatic Detection and Grading of Motion-Related Artifacts on Gadoxetic Acid-Enhanced Liver MRI | 허지미 |
| 2022 | | Development of Anticancer Peptides Using Artificial Intelligence and Combinational Therapy for Cancer Therapeutics | 신태환, 이광 |
| 2022 | | Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia | 김은영, 노현웅, 박범희, 손상준, 홍창형 |
| 2023 | | OSA-NET : An Efficient Convolutional Neural Network for OSA Diagnosis Screening Tool | 김태준 |
| 2021 | | Representation-learning based propensity score model for causal inference in high dimension | 유승찬 |
| 2023 | | Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data | 김병곤, 이수연 |
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