output
20172025
most citedDeep learning based ECG segmentation for delineation of diverse arrhythmias

24 citations

16 papers

cs.CV2025

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

Junhyeok Lee, Hyunwoong Kim, Hyungjin Chung +4

Image-to-Image translation models can help mitigate various challenges inherent to medical image acquisition. Latent diffusion models (LDMs) leverage efficient learning in compress…

cs.CV2025

Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning

Junhyeok Lee, Han Jang, Kyu Sung Choi

Precise delineation of meningiomas is crucial for effective radiotherapy (RT) planning, directly influencing treatment efficacy and preservation of adjacent healthy tissues. While…

cs.CV2025★ 4 cited

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge

Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67

Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…

cs.RO2025★ 1 cited

Shoulder Range of Motion Rehabilitation Robot Incorporating Scapulohumeral Rhythm for Frozen Shoulder

Hyunbum Cho, Sungmoon Hur, Joowan Kim +2

This paper presents a novel rehabilitation robot designed to address the challenges of Passive Range of Motion (PROM) exercises for frozen shoulder patients by integrating advanced…

cs.CV2025★ 7 cited

SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation

Haozheng Xu, Alistair Weld, Chi Xu +16

Accurate instrument pose estimation is a crucial step towards the future of robotic surgery, enabling applications such as autonomous surgical task execution. Vision-based methods…

cs.LG2024★ 1 cited

Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm

Yooseok Lim, Inbeom Park, Sujee Lee

Appropriate medication dosages in the intensive care unit (ICU) are critical for patient survival. Heparin, used to treat thrombosis and inhibit blood clotting in the ICU, requires…

cs.LG2024

OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment

Yooseok Lim, Sujee Lee

Accurate medication dosing holds an important position in the overall patient therapeutic process. Therefore, much research has been conducted to develop optimal administration str…

cs.CL2024★ 1 cited

Automated Information Extraction from Thyroid Operation Narrative: A Comparative Study of GPT-4 and Fine-tuned KoELECTRA

Dongsuk Jang, Hyeryun Park, Jiye Son +3

In the rapidly evolving field of healthcare, the integration of artificial intelligence (AI) has become a pivotal component in the automation of clinical workflows, ushering in a n…

cs.LG2023★ 24 cited

Deep learning based ECG segmentation for delineation of diverse arrhythmias

Chankyu Joung, Mijin Kim, Taejin Paik +9

Accurate delineation of key waveforms in an ECG is a critical step in extracting relevant features to support the diagnosis and treatment of heart conditions. Although deep learnin…

cs.AI2022★ 3 cited

Review learning: Real world validation of privacy preserving continual learning across medical institutions

Jaesung Yoo, Sunghyuk Choi, Ye Seul Yang +9

When a deep learning model is trained sequentially on different datasets, it often forgets the knowledge learned from previous data, a problem known as catastrophic forgetting. Thi…

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…

eess.IV2021★ 15 cited

Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images

Sang-gil Lee, Eunji Kim, Jae Seok Bae +2

The computer-aided diagnosis of focal liver lesions (FLLs) can help improve workflow and enable correct diagnoses; FLL detection is the first step in such a computer-aided diagnosi…

cs.CV2020

Learning Visual Context by Comparison

Minchul Kim, Jongchan Park, Seil Na +2

Finding diseases from an X-ray image is an important yet highly challenging task. Current methods for solving this task exploit various characteristics of the chest X-ray image, bu…

q-bio.QM2018★ 1 cited

Harmonic holes as the submodules of brain network and network dissimilarity

Hyekyoung Lee, Moo K. Chung, Hongyoon Choi +4

Persistent homology has been applied to brain network analysis for finding the shape of brain networks across multiple thresholds. In the persistent homology, the shape of networks…

physics.soc-ph2017★ 4 cited

Meet me in the middle: The reunification of Germany's research network

Bogang Jun, Flávio Pinheiro, Tobias Buchmann +2

In 1990, Germany began the reunification of two separate research systems. In this study, we explore the factors predicting the East-West integration of academic fields by examinin…

q-bio.QM2017★ 4 cited

Topological Distances between Networks and Its Application to Brain Imaging

Hyekyoung Lee, Zhiwei Ma, Yuan Wang +1

This paper surveys various distance measures for networks and graphs that were introduced in persistent homology. The scope of the paper is limited to network distances that were a…