2 citations · 4 across the 5 of their papers we have counts for
5 papers
Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography
Jina Lee, Youngtaek Hong, Dawun Jeong +8
Radiomics, a medical imaging technique, extracts quantitative handcrafted features from images to predict diseases. Harmonization in those features ensures consistent feature extra…
A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography
Jaeik Jeon, Jiyeon Kim, Yeonggul Jang +5
Doppler echocardiography offers critical insights into cardiac function and phases by quantifying blood flow velocities and evaluating myocardial motion. However, previous methods…
Improving Out-of-Distribution Detection in Echocardiographic View Classication through Enhancing Semantic Features
Jaeik Jeon, Seongmin Ha, Yeonggul Jang +6
In echocardiographic view classification, accurately detecting out-of-distribution (OOD) data is essential but challenging, especially given the subtle differences between in-distr…
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
Syed Samiul Alam, Samiul Based Shuvo, Shams Nafisa Ali +3
Ocular Toxoplasmosis (OT), is a common eye infection caused by T. gondii that can cause vision problems. Diagnosis is typically done through a clinical examination and imaging, but…
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification
Jaeik Jeon, Yeonggul Jang, Youngtaek Hong +2
Medical imaging, including MRI, CT, and Ultrasound, plays a vital role in clinical decisions. Accurate segmentation is essential to measure the structure of interest from the image…