Skip to main content

Hong-Mi Choi

Seoul National University · Medicine

About the Lab

Professor Hong-Mi Choi's research lab focuses on cardiovascular disease mechanisms and advanced heart failure management, with a strong emphasis on cardiac imaging, biomarkers, and risk stratification in conditions like hypertrophic cardiomyopathy and heart failure with preserved or reduced ejection fraction. The lab integrates clinical cardiology with cutting-edge imaging techniques such as cardiac magnetic resonance and late gadolinium enhancement to predict disease progression and evaluate novel therapies. Additionally, the lab contributes to the development of advanced network survivability models in high-speed communication systems, particularly in the context of fault-tolerant network design and failure recovery protocols.

cardiac MRIheart failurehypertrophic cardiomyopathynetwork survivabilitybiomarkers

Research Overview

Papers
123
Total Citations
1,441
Papers (5y)
62
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
62total
2022
2023
2024
2025
2026
Citations per year (5y)
362total
20222023202420252026

Selected Papers

15
1
Article|141 citations·2018
Myocardial Strain in Prediction of Outcomes After Surgery for Severe Mitral Regurgitation
Hyue Mee Kim, Goo‐Yeong Cho, In‐Chang Hwang, Hong‐Mi Choi, Jun‐Bean Park, Yeonyee E. Yoon, Hyung‐Kwan Kim
SJR Q1JACC. Cardiovascular imaging
Cardiology and Cardiovascular MedicineMedicine
2
Review|114 citations·2018
Update on heart failure management and future directions
Hong‐Mi Choi, Myung‐Soo Park, Jong‐Chan Youn
SJR Q2The Korean Journal of Internal MedicineOA

Heart failure (HF) is an important cardiovascular disease because of its increasing prevalence, significant morbidity, high mortality, and rapidly expanding health care cost. The number of HF patients is increasing worldwide, and Korea is no exception. There have been marked advances in definition, diagnostic modalities, and treatment of HF over the past four decades. There is continuing effort to improve risk stratification of HF using biomarkers, imaging and genetic testing. Newly developed me

Biomedical EngineeringEngineering
3
Article|72 citations·1993
Generalized measures of fault tolerance in n-cube networks
Am-Suk Oh, Hong‐Mi Choi
SJR Q1IEEE Transactions on Parallel and Distributed Systems

It is shown that for a given p (1<p<or=n), the n-cube network can tolerate up to p2/sup (n-p)/-1 processor failures and remains connected provided that at most p neighbors of any nonfaulty processor are allowed to fail. This generalizes the result for p=n-1, obtained by A.-M Esfahanian (1989). It is also shown that the n-cube network with n>or=5 remains connected provided that at most two neighbors of any processor are allowed to fail.<<ETX>>

Computer Networks and CommunicationsComputer Science
4
Article|70 citations·2004
Loopback Recovery From Double-Link Failures in Optical Mesh Networks
Hong‐Mi Choi, Suresh Subramaniam, Hong‐Mi Choi
SJR Q1IEEE/ACM Transactions on Networking

Network survivability is a crucial requirement in high-speed optical networks. Typical approaches of providing survivability have considered the failure of a single component such as a link or a node. We motivate the need for considering double-link failures and present three loopback methods for handling such failures. In the first two methods, two edge-disjoint backup paths are computed for each link for rerouting traffic when a pair of links fails. These methods require the identification of

Electrical and Electronic EngineeringEngineering
5
Article|59 citations·2014
Cosmetic side effects of antiepileptic drugs in adults with epilepsy
Baibing Chen, Hong‐Mi Choi, Lawrence J. Hirsch, Jeremy J. Moeller, Asif Javed, Kenneth Kato, Alexander Legge, Richard Buchsbaum, Kamil Detyniecki
SJR Q2Epilepsy & Behavior
Pediatrics, Perinatology and Child HealthMedicine
6
Article|45 citations·2015
Myocardial fibrosis progression on cardiac magnetic resonance in hypertrophic cardiomyopathy
Hong‐Mi Choi, Kyung‐Hee Kim, Joo Myung Lee, Yeonyee E. Yoon, Seung‐Pyo Lee, Eun‐Ah Park, Whal Lee, Yong‐Jin Kim, Goo‐Yeong Cho, Dae‐Won Sohn, Hyung‐Kwan Kim
SJR Q1Heart

OBJECTIVE: We hypothesised that, in hypertrophic cardiomyopathy (HCM), late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) is progressive and can be predicted by baseline CMR findings and HCM phenotype. METHODS: In this single-centre cohort study, 71 patients with HCM (59±13 years; 48 men) were prospectively enrolled with clinical, echocardiographic and CMR data. Two consecutive CMR scans were performed with a time interval of 582±174 days. The LGE extent was quantified as a pr

Cardiology and Cardiovascular MedicineMedicine
7
erratum|20 citations·2019
Update on heart failure management and future directions
Hong‐Mi Choi, Myung‐Soo Park, Jong‐Chan Youn
SJR Q2The Korean Journal of Internal MedicineOA

This corrects the article "Update on heart failure management and future directions" in volume 34 on page 11.

Cardiology and Cardiovascular MedicineMedicine
8
Review|18 citations·2020
Angiotensin receptor-neprilysin inhibitor for the treatment of heart failure: a review of recent evidence
Hong‐Mi Choi, Mi‐Seung Shin
SJR Q2The Korean Journal of Internal MedicineOA

Heart failure (HF) is a growing health concern in aging societies worldwide. Sacubitril/valsartan is changing the real-world treatment in the whole spectrum of HF. The beginning was the PARADIGM-HF trial published in 2014, which demonstrated the beneficial effects of inhibiting natriuretic peptide breakdown in combination with hindering the renin-angiotensin system in HF patients with a reduced ejection fraction. Subsequent large-scale randomized trials have evaluated angiotensin receptor-nepril

Cardiology and Cardiovascular MedicineMedicine
9
letter|11 citations·2018
Global Left Atrial Strain as a Predictor of Silent Atrial Fibrillation Following Dual Chamber Cardiac Implantable Electronic Device Implantation
Hong‐Mi Choi, Yeonyee E. Yoon, Il‐Young Oh, Youngjin Cho, Goo‐Yeong Cho
SJR Q1JACC. Cardiovascular imaging
Cardiology and Cardiovascular MedicineMedicine
10
Article|9 citations·2019
Predictors of paravalvular aortic regurgitation after surgery for Behcet’s disease-related severe aortic regurgitation
Hong‐Mi Choi, Hyung‐Kwan Kim, Sung‐Ji Park, Hyun‐Jung Lee, Yeonyee E. Yoon, Jun‐Bean Park, Yong‐Jin Kim, Goo-Young Cho, In‐Chang Hwang, Dae‐Won Sohn, Jae K. Oh
SJR Q1Orphanet Journal of Rare DiseasesOA

Postoperative, but not preoperative, IST and concomitant ARR were independent predictors of less development of PVL. Special attention is required for early diagnosis BD-related AR, especially in patients not satisfying the current diagnostic criteria.

OphthalmologyMedicine
11
Article|8 citations·2024
AI derived ECG global longitudinal strain compared to echocardiographic measurements
Hong‐Mi Choi, Joonghee Kim, Jiesuck Park, Jun‐Bean Park, Hyung‐Kwan Kim, Hye Jung Choi, Yeonyee E. Yoon, Goo-Yeong Cho, Youngjin Cho, In‐Chang Hwang
SJR Q1Scientific ReportsOA

Left ventricular (LV) global longitudinal strain (LVGLS) is versatile; however, it is difficult to obtain. We evaluated the potential of an artificial intelligence (AI)-generated electrocardiography score for LVGLS estimation (ECG-GLS score) to diagnose LV systolic dysfunction and predict prognosis of patients with heart failure (HF). A convolutional neural network-based deep-learning algorithm was trained to estimate the echocardiography-derived GLS (LVGLS). ECG-GLS score performance was evalua

Cardiology and Cardiovascular MedicineMedicine
12
Article|7 citations·1993
Efficient Algorithms for Mapping and Partitioning a Class of Parallel Computations
Hong‐Mi Choi, Bhagirath Narahari
SJR Q1Journal of Parallel and Distributed Computing
Computer Networks and CommunicationsComputer Science
13
Article|4 citations·2025
Automated extracellular volume fraction measurement for diagnosis and prognostication in patients with light-chain cardiac amyloidosis
In‐Chang Hwang, Eun Ju Chun, Pan Ki Kim, Myeongju Kim, Jiesuck Park, Hong‐Mi Choi, Yeonyee E. Yoon, Goo‐Yeong Cho, Byoung Wook Choi
SJR Q1PLoS ONEOA

AIMS: T1 mapping on cardiac magnetic resonance (CMR) imaging is useful for diagnosis and prognostication in patients with light-chain cardiac amyloidosis (AL-CA). We conducted this study to evaluate the performance of T1 mapping parameters, derived from artificial intelligence (AI)-automated segmentation, for detection of cardiac amyloidosis (CA) in patients with left ventricular hypertrophy (LVH) and their prognostic values in patients with AL-CA. METHODS AND RESULTS: A total of 300 consecutive

Molecular BiologyBiochemistry, Genetics and Molecular Biology
14
Article|4 citations·2012
Total Occlusion of Right Main Pulmonary Artery in a Patient with Takayasu's Arteritis and Severe Pulmonary Hypertension
Hong‐Mi Choi, Hyung‐Kwan Kim, Hyo-Sun Shin, Seung‐Ah Lee, Hee-Sun Lee, Gyu Chul Oh, Seung‐Pyo Lee, Yong-Jin Kim, Goo‐Yeong Cho, Daewon Sohn
Journal of Cardiovascular UltrasoundOA

Takayasu's arteritis is a chronic inflammatory disorder that mainly involves medium to large sized arteries. Although pulmonary artery involvement is reported with a prevalence of about 10% to 50%, its clinical significance is underestimated. We report here one case of Takayasu's arteritis complicated by severe pulmonary hypertension due to right main pulmonary artery total occlusion.

Pulmonary and Respiratory MedicineMedicine
15
Article|2 citations·2023
Irreversible myocardial injury attenuates the benefits of sacubitril/valsartan in heart failure patients
Hong‐Mi Choi, In‐Chang Hwang, Hye Jung Choi, Yeonyee E. Yoon, Hyun‐Jung Lee, Jun‐Bean Park, Seung‐Pyo Lee, Hyung‐Kwan Kim, Yong‐Jin Kim, Goo-Yeong Cho
SJR Q1International Journal of Cardiology
Cardiology and Cardiovascular MedicineMedicine

Research Areas

Cardiology and Cardiovascular MedicineComputer Networks and CommunicationsElectrical and Electronic EngineeringSurgeryEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging

Dive deeper into Hong-Mi Choi's research on Nubint

Open this lab's papers in the app to read with AI, summarize, and cite in your writing.