output
20172026
most citedHighrisk Prediction from Electronic Medical Records via Deep Attention Networks

20 citations

7 papers

cs.CL2026

Cross-Model Consistency of AI-Generated Exercise Prescriptions: A Repeated Generation Study Across Three Large Language Models

Kihyuk Lee

This study compared repeated generation consistency of exercise prescription outputs across three large language models (LLMs), specifically GPT-4.1, Claude Sonnet 4.6, and Gemini…

cs.HC2026★ 1 cited

"I Choose to Live, for Life Itself": Understanding Agency of Home-Based Care Patients Through Information Practices and Relational Dynamics in Care Networks

Sung-In Kim, Joonyoung Park, Bogoan Kim +1

Home-based care (HBC) delivers medical and care services in patients' living environments, offering unique opportunities for patient-centered care. However, patient agency is often…

cs.GR2023★ 8 cited

Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions

Jungnam Park, Moon Seok Park, Jehee Lee +1

We present a novel generative model, called Bidirectional GaitNet, that learns the relationship between human anatomy and its gait. The simulation model of human anatomy is a compr…

physics.ins-det2022★ 1 cited

Description and stability of a RPC-based calorimeter in electromagnetic and hadronic shower environments

D. Boumediene, V. Francais, J. Apostolakis +36

The CALICE Semi-Digital Hadron Calorimeter technological prototype completed in 2011 is a sampling calorimeter using Glass Resistive Plate Chamber (GRPC) detectors as the active me…

cs.LG2021★ 20 cited

Machine Learning-Based COVID-19 Patients Triage Algorithm using Patient-Generated Health Data from Nationwide Multicenter Database

Min Sue Park, Hyeontae Jo, Haeun Lee +2

A prompt severity assessment model of patients confirmed for having infectious diseases could enable efficient diagnosis while alleviating burden on the medical system. This study…

eess.IV2020

Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN

Gyutaek Oh, Byeongsu Sim, Hyungjin Chung +2

Recently, deep learning approaches for accelerated MRI have been extensively studied thanks to their high performance reconstruction in spite of significantly reduced runtime compl…