최병민

전체 184건 중 1번부터 10번까지의 결과를 표시합니다.

2026

Article

Deep Learning-Based Classification for Grading of Respiratory Distress Syndrome on Neonatal Chest Radiographs

Article

혈역학적으로 의미 있는 동맥관 개존증에서 추가 이부프로펜 투여 필요성 예측에 대한 혈장 B-Type Natriuretic Peptide의 유용성

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Recent short-term and long-term outcomes of massive pulmonary hemorrhage in extremely low birth weight infants: A nationwide cohort study

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Automatic segmentation and labeling of T1, T7, and T12 thoracic vertebrae in neonatal chest radiographs: a deep learning approach using nnU-Net framework

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Clinical effectiveness and safety of laser lancing for heel puncture in preterm infants: a randomized crossover non-inferiority trial

2025

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Deep-Learning-Based Multi-Class Classification for Neonatal Respiratory Diseases on Chest Radiographs in Neonatal Intensive Care Units

Conference

Deep Learning-Based Classification for Neonatal Respiratory Diseases on Chest Radiographs in Neonatal intensive Care Units

Conference

Automated Segmentation for Numbering Thoracic Vertebrae in Chest Radiographs in Newborn Infants: A Deep Learning Approach

Article

A decision tree analysis to predict massive pulmonary hemorrhage in extremely low birth weight infants: a nationwide large cohort database

Article

BO-CLAHE enhancing neonatal chest X-ray image quality for improved lesion classification

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Deep Learning-Based Classification for Grading of Respiratory Distress Syndrome on Neonatal Chest Radiographs

혈역학적으로 의미 있는 동맥관 개존증에서 추가 이부프로펜 투여 필요성 예측에 대한 혈장 B-Type Natriuretic Peptide의 유용성

Recent short-term and long-term outcomes of massive pulmonary hemorrhage in extremely low birth weight infants: A nationwide cohort study

Automatic segmentation and labeling of T1, T7, and T12 thoracic vertebrae in neonatal chest radiographs: a deep learning approach using nnU-Net framework

Clinical effectiveness and safety of laser lancing for heel puncture in preterm infants: a randomized crossover non-inferiority trial

Deep-Learning-Based Multi-Class Classification for Neonatal Respiratory Diseases on Chest Radiographs in Neonatal Intensive Care Units

Deep Learning-Based Classification for Neonatal Respiratory Diseases on Chest Radiographs in Neonatal intensive Care Units

Automated Segmentation for Numbering Thoracic Vertebrae in Chest Radiographs in Newborn Infants: A Deep Learning Approach

A decision tree analysis to predict massive pulmonary hemorrhage in extremely low birth weight infants: a nationwide large cohort database

BO-CLAHE enhancing neonatal chest X-ray image quality for improved lesion classification