Pseudonymization of healthcare data in South Korea (Haksoo Ko) Nature Medicine 2022
Translating amyloid PET of different radiotracers by a deep generative model for interchangeability (Seung Kwan Kang, Hong yoon Choi, Jae Sung Lee) Neuroimage 2021
Deep learning-based 3D inpainting of brain MR images (Seung Kwan Kang, Seong A. Shin, Seongho Seo, Min Soo Byun, Dong Young Lee, Yu Kyeong Kim, Dong Soo Lee, Jae Sung Lee) Scientific Reports 2021
Self-supervised PET Denoising (Si Young Yie, Seung Kwan Kang, Donghwi Hwang, Jae Sung Lee) Nuclear Medicine and Molecular Imaging 2020
A review of deep learning-based approaches for attenuation correction in positron emission tomography (Jae Sung Lee) IEEE Transactions on Radiation and Plasma Medical Sciences 2021
Robust nonlinear parameter estimation in tracer kinetic analysis using infinity norm regularization and particle swarm optimization (Seung Kwan Kang, Seongho Seo, Chul-Hee Lee, Mi Jeong Kim, Su Jin Kim, Jae Sung Lee) Physica Medica 2020
Deep-dose: a voxel dose estimation method using deep convolutional neural network for personalized internal dosimetry (Min Sun Lee, Donghwi Hwang, Joong Hyun Kim, Jae Sung Lee) Scientific Reports 2019
Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation (Junyoung Park, Sungwoo Bae, Seongho Seo, Sohyun Park, Ji-In Bang, Jeong Hee Han, WonWoo Lee, Jae Sung Lee) Scientific Reports 2019
Computed tomography super-resolution using deep convolutional neural network (Junyoung Park, Donghwi Hwang, Kyeong Yun Kim, Seung Kwan Kang, Yu Kyeong Kim, Jae Sung Lee) Physics in Medicine & Biology 2018
Adaptive template generation for amyloid PET using a deep learning approach (Seung Kwan Kang, Seongho Seo, Seong A Shin, Min Soo Byun, Dong Young Lee, Yu Kyeong Kim, Dong Soo Lee, Jae Sung Lee) Human Brain Mapping 2018
Improving the accuracy of simultaneously reconstructed activity and attenuation maps using deep learning (Donghwi Hwang, Kyeong Yun Kim, Seung Kwan Kang, Seongho Seo, Jin Chul Paeng, Dong Soo Lee, Jae Sung Lee) The Journal of Nuclear Medicine 2018
Translating amyloid PET of different radiotracers by a deep generative model for interchangeability (Seung Kwan Kang, Hongyoon Choi, Jae Sung Lee, Alzheimer's Disease Neuroimaging Initiative) NeuroImage 2021
Quantitative salivary gland SPECT/CT using deep convolutional neural networks (Junyoung Park, Jae Sung Lee, Dongkyu Oh, Hyun Gee Ryoo, Jeong Hee Han, Won Woo Lee) Scientific Reports 2021
Data-driven respiratory phase-matched PET attenuation correction without CT (Donghwi Hwang, Seung Kwan Kang, Kyeong Yun Kim, Hongyoon Choi, Seongho Seo, Jae Sung Lee) Physics in Medicine and Biology 2021
Synthetic CT Generation from weakly paired MR images using cycle-consistent GAN for MR-guided radiotherapy (Seung Kwan Kang, Hyun Joon An, Hyeongmin Jin, Jung-in Kim, Eui Kyu Chie, Jong Min Park , Jae Sung Lee) Biomedical Engineering Letters 2021
Noise2Noise Improved by Trainable Wavelet Coefficients for PET Denoising (Seung-Kwan Kang, Si-Young Yie , Jae-Sung Lee) Electronics 2021
Topic Modeling of Social Networking Service Data on Occupational Accidents in Korea: Latent Dirichlet Allocation Analysis (Kyoung-Bok Min, Sung-Hee Song, Jin-Young Min) Journal of Medical Internet Research 2020
A web-based machine-learning algorithm predicting postoperative acute kidney injury after total knee arthroplasty (Sunho Ko, Changwung, Chong Bum Chang, Yong Seuk Lee, Young-Wan Moon, Jae Woo Youm, Hyuk-Soo Han, Myung Chul Lee, Hajeong Lee, Du Hyun Ro) Knee Surg Sports Traumatol Arthrosc 2020
Can Deep Learning Using Weight Bearing Knee Anterio-Posterior Radiograph Alone Replace a Whole-Leg Radiograph in the Interpretation of Weight Bearing Line Ratio? (Hyun-Doo Moon, Han-Gyeol Choi, Kyong-Joon Lee, Dong-Jun Choi, Hyun-Jin Yoo, Yong-Seuk Lee) J Clin Med 2021
Can Additional Patient Information Improve the Diagnostic Performance of Deep Learning for the Interpretation of Knee Osteoarthritis Severity (Dong Hyun Kim, Kyong Joon Lee, Dongjun Choi, Jae Ik Lee, Han Gyeol Choi, Yong Seuk Lee) J Clin Med 2020
COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system (Eui Jin Hwang, Ki Beom Kim, Jin Young Kim, Jae-Kwang Lim, Ju Gang Nam, Hyewon Choi, Hyungjin Kim, Soon Ho Yoon, Jin Mo Goo, Chang Min Park) PLoS One 2021
Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network (Ju Gang Nam, Jinwook Kim, Keonwoo Noh, Hyewon Choi, Da Som Kim, Seung-Jin Yoo, Hyun-Lim Yang, Eui Jin Hwang, Jin Mo Goo, Eun-Ah Park, Hye Young Sun, Min-Soo Kim, Chang Min Park) European Radiology 2021
Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning–based Detection Algorithm (Ju Gang Nam, Eui Jin Hwang, Da Som Kim, Seung-Jin Yoo, Hyewon Choi, Jin Mo Goo, Chang Min Park) Radiology. Cardiothoracic imaging 2020
Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs (Ju Gang Nam, Minchul Kim, Jongchan Park, Eui Jin Hwang, Jong Hyuk Lee, Jung Hee Hong, Jin Mo Goo, Chang Min Park) The European respiratory journal 2021
Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs (Hyewon Choi, Hyungjin Kim, Wonju Hong, Jongsoo Park, Eui Jin Hwang, Chang Min Park, Young Tae Kim, Jin Mo Goo) European Radiology 2021
Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population (Jong Hyuk Lee, Hye Young Sun, Sunggyun Park, Hyungjin Kim, Eui Jin Hwang, Jin Mo Goo, Chang Min Park) Radiology 2020
Deep learning-based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals (Jong Hyuk Lee, Sunggyun Park, Eui Jin Hwang, Jin Mo Goo, Woo Young Lee, Sangho Lee, Hyungjin Kim, Jason R Andrews, Chang Min Park) European Radiology 2021
Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain (Joon Jang, Hyeong Hun Lee, Ji-Ae Park, Hyeonjin Kim) J Magn Reson 2021
Defining data-driven subgroups of obsessive compulsive disorder with different treatment responses based on resting-state functional connectivity (Seoyeon Kwak, Minah Kim, Taekwan Kim, Yoobin Kwak, Sanghoon Oh, Silvia Kyungjin Lho, Sun-Young Moon, Tae Young Lee & Jun Soo Kwon) Transl Psychiatry 2020 10:359
Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification using Polyvinylidene Fluoride Film Sensor (Sang Ho Choi, Hyun Bin Kwon, Hyungwon Jin, Heenam Yoon, Mi Hyun Lee, Yu Jin Lee, Kwang Suk Park) 10.1109/JBHI.2020.2979168 IEEE 2020
End-To-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism (Heesang Eom, Dongseok Lee, Seungwoo Han, Yuli Sun Hariyani, Yonggyu Lim, Illsoo Sohn, Kwangsuk Park, Cheolsoo Park) 10.3390/s20082338 Sensors (Basel)
Beat-to-Beat Continuous Blood Pressure Estimation Using Bidirectional Long Short-Term Memory Network (Dongseok Lee, Hyunbin Kwon, Dongyeon Son, Heesang Eom, Cheolsoo Park, Yonggyu Lim, Chulhun Seo and Kwangsuk Park) 10.3390/s21010096
Real-time apnea-hyponea event detection during sleep by convolutional neural networks (Sang Ho Choi, Heenam Yoon, Hyun Suk Kim, Hyun Bin Kwon, Sung Min Oh, Yu Jin Lee, Kwangsuk Park) 10.1016/j.compbiomed.2018.06.028
Wrist Sensor-Based Tremor Severity Quantification in Parkinson’s Disease using Convolutional Neural Network (Han Byul Kim, Woong Woo Lee, Aryun Kim, Hong Ji Lee, Hye Young Park, Hyo Seon Jeon, Sang Kyong Kim, Beomseok Jeon, Kwangsuk Park) 10.1016/j.compbiomed.2018.02.007
Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network (Odeuk Kwon, Tae-Hoon Yong, Se-Ryong Kang, Jo-Eun Kim, Kyung-Hoe Huh, Min-Suk Heo, Sam-Sun Lee, Soon-Chul Choi, Won-Jin Yi) DMFR 2020
Altered Expression of Fucosylation Pathway Genes Is Associated with Poor Prognosis and Tumor Metastasis in Non‑small Cell Lung Cancer (Park, Soonbum, Jin‑Muk Lim, Jung Chun, Sanghoon Lee, Tae Kim, Dong‑Wan Kim, Sang‑Yeob Kim, Dong‑Jun Bae, Sang‑Mun Bae, Insuk So, Hong‑Gee Kim, Ji‑Yeob Choi, and Ju‑Hong Jeon) International Journal of Oncology 2020
Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study (Soonil Kwon, Joonki Hong, Eue-Keun Choi, Byunghwan Lee, Changhyun Baik, Euijae Lee, Eui-Rim Jeong, Bon-Kwon Koo, Seil Oh, Yung Yi) JMIR 2020
Reconstruction of spectra from truncated free induction decays by deep learning in proton magnetic resonance spectroscopy (Hyochul Lee, Hyeonjin Kim) Magnetic Resonance in Medicine 2020
Deep learning-based target metabolite isolation and big data-driven measurement uncertainty estimation in proton magnetic resonance spectroscopy of the brain (Hyeong Hun Lee, Hyeonjin Kim) Magnetic Resonance in Medicine 2020
Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis (Hyuk-Joon chang, Sang-Jeong Lee, Tae-Hoon Yong, Nan-Young Shin, Bong-Geun Jang, Jo-eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Soon-Chul Choi, Tae-Il Kim, Won-Jin Yi) Scientific Reports 2020
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea (Junhyug Noh, Kyung DonYoo, Wonho Bae, Jong Soo Lee, Kangil Kim, Jang-HeeCho, Hajeong Lee, Dong Ki Kim, Chun Soo Lim, Shin-Wook Kang, Yong-Lim Kim, Yon Su Kim, Gunhee Kim & Jung Pyo Lee) Scientific Reports 2020
Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19 (Eui Jin Hwang, Hyungjin Kim, Soon Ho Yoon, Jin Mo Goo, Chang Min Park) Korean J Radiol 2020
Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration (Eui Jin Hwang, Hyungjin Kim, Jong Hyuk Lee, Jin Mo Goo, Chang Min Park) Eur Radiol 2020
Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study (Eui Jin Hwang, Jung Hee Hong, Kyung Hee Lee, Jung Im Kim, Ju Gang Nam, Da Som Kim, Hyewon Choi, Seung Jin Yoo, Jin Mo Goo, Chang Min Park) Eur Radiol 2020
CT-based Deep Learning Model to Differentiate Invasive Pulmonary Adenocarcinomas Appearing as Subsolid Nodules Among Surgical Candidates: Comparison of the Diagnostic Performance With a Size-Based Logistic Model and Radiologists (Hyungjin Kim, Dongheon Lee, Woo Sang Cho, Jung Chan Lee, Jin Mo Goo, Hee Chan Kim, Chang Min Park) Eur Radiol 2020
Test-retest Reproducibility of a Deep Learning-Based Automatic Detection Algorithm for the Chest Radiograph (Hyungjin Kim, Chang Min Park, Jin Mo Goo) Eur Radiol 2020
Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness (Jae Hyun Kim, Jin Young Kim, Gun Ha Kim, Donghoon Kang, In Jung Kim, Jeongkuk Seo, Jason R. Andrews, Chang Min Park) J Clin Med 2020
Preoperative CT-based Deep Learning Model for Predicting Disease-Free Survival in Patients with Lung Adenocarcinomas (Hyungjin Kim, Jin Mo Goo, Kyung Hee Lee,MD,PhD • Young Tae Kim, Chang Min Park) Radiology 2020
Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset (Jeong-Whun Kim, Taehoon Kim, Jaeyoung Shin, Goun Choe, Hyun Jung Lim, Chae-Seo Rhee, Kyogu Lee, Sung-Woo Cho) CEO 2019
Intact metabolite spectrum mining by deep learning in proton magnetic resonance spectroscopy of the brain (Hyeong Hun Lee, Hyeonjin Kim) Magnetic Resonance in Medicine 2019
Deep Learning for Chest Radiograph Diagnosis in the Emergency Department (Eui Jin Hwang, Ju Gang Nam, Woo Hyeon Lim, Sae Jin Park, Yun Soo Jeong, Ji Hee Kang, Eun Kyoung Hong, Taek Min Kim, Jin Mo Goo, Sunggyun Park, Ki Hwan Kim, Chang Min Park) Radiology 2019
Development and Validation of a Deep Learning-Based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs (Eui Jin Hwang, Sunggyun Park, Kwang-Nam Jin, Jung Im Kim, So Young Choi, Jong Hyuk Lee, Jin Mo Goo, Jaehong Aum, Jae-Joon Yim, Chang Min Park) JAMA Netw Open 2019
Research Topics and Trends in Medical Education by Social Network Analysis (Ji, Young A., Se Jin Nam, Hong Gee Kim, Jaeil Lee, and Soo-Kyoung Lee) BMC Medical Education 2018
Differential Diagnosis of Jaw Pain Using Informatics Technology (Nam, Y., H. G. Kim, and H. S. Kho) Journal of Oral Rehabilitation 2018
Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs (Ju Gang Nam, Sunggyun Park, Eui Jin Hwang, Jong Hyuk Lee, Kwang-Nam Jin, Kun Young Lim, Thienkai Huy Vu, Jae Ho Sohn, Sangheum Hwang, Jin Mo Goo, Chang Min Park) Radiology 2018
