3 citations · 3 across the 5 of their papers we have counts for
7 papers
SPARCL: Spatially Adaptive Regional Coverage for Active Learning in Chest X-ray Analysis
Juho Jung, Seongjae Kang, Mijoo Kim +4
Pixel-level annotation for chest X-ray (CXR) lesion segmentation is expensive, making active learning (AL) essential. However, existing AL strategies fail to account for the spatia…
Label-Efficient Deep Learning for ECG Delineation: A Multi-Dataset Benchmark against Widely Used Delineation Tools
Jeonghwa Lim, Minje Park, Yeongyeon Na +6
Electrocardiogram (ECG) delineation, the identification of waveform boundaries, is a foundational step that translates raw ECG signals into clinically interpretable measurements. D…
Change Point--Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation
Yunwon Tae, Minje Park, Gyunho Rho +2
Non-invasive continuous blood pressure (BP) monitoring using photoplethysmography (PPG) is a promising alternative to cuff-based measurements. However, existing PPG-based BP estima…
Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation
Jeonghwa Lim, Minje Park, Sunghoon Joo
Accurate delineation of electrocardiogram (ECG), the segmentation of meaningful waveform features, is crucial for cardiovascular diagnostics. However, the scarcity of annotated dat…
Automated Structured Radiology Report Generation with Rich Clinical Context
Seongjae Kang, Dong Bok Lee, Juho Jung +3
Automated structured radiology report generation (SRRG) from chest X-ray images offers significant potential to reduce workload of radiologists by generating reports in structured…
SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation
Minje Park, Jeonghwa Lim, Taehyung Yu +1
Electrocardiogram (ECG) delineation, the segmentation of meaningful waveform features, is critical for clinical diagnosis. Despite recent advances using deep learning, progress has…
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Yeongyeon Na, Minje Park, Yunwon Tae +1
Electrocardiograms (ECG) are widely employed as a diagnostic tool for monitoring electrical signals originating from a heart. Recent machine learning research efforts have focused…