Search Results - "Sunggyun Park"

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs by Nam, Ju Gang, Park, Sunggyun, Hwang, Eui Jin, Lee, Jong Hyuk, Jin, Kwang-Nam, Lim, Kun Young, Vu, Thienkai Huy, Sohn, Jae Ho, Hwang, Sangheum, Goo, Jin Mo, Park, Chang Min

“…Purpose To develop and validate a deep learning-based automatic detection algorithm (DLAD) for malignant pulmonary nodules on chest radiographs and to compare…”
Get full text

Comparative analysis of IR-Biotyper, MLST, cgMLST, and WGS for clustering of vancomycin-resistant Enterococcus faecium in a neonatal intensive care unit by Park, Sunggyun, Ryoo, Namhee

“…Healthcare-associated infections caused by vancomycin-resistant (VREFM) pose a significant threat to healthcare. Confirming the relatedness of the bacterial…”
Get full text

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs by Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Park, Chang Min

“…Abstract Background Detection of active pulmonary tuberculosis on chest radiographs (CRs) is critical for the diagnosis and screening of tuberculosis. An…”
Get full text

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals by Lee, Jong Hyuk, Park, Sunggyun, Hwang, Eui Jin, Goo, Jin Mo, Lee, Woo Young, Lee, Sangho, Kim, Hyungjin, Andrews, Jason R., Park, Chang Min

“…Objectives Performance of deep learning–based automated detection (DLAD) algorithms in systematic screening for active pulmonary tuberculosis is unknown. We…”
Get full text

Validation of the Accuracy of Automatic Measurement of Blood Volume in Culture Bottles for Blood Culture by Kim, Kyoungbo, Park, Sunggyun

“…Several manufacturers have developed systems that automatically measure the amount of blood in culture bottles. We compared the volumes measured automatically…”
Get full text

Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs by Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Cohen, Julien G, Ferretti, Gilbert R, Park, Chang Min

“…Interpretation of chest radiographs is a challenging task prone to errors, requiring expert readers. An automated system that can accurately classify chest…”
Get full text

AttentionNet: Aggregating Weak Directions for Accurate Object Detection by Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Paek, Anthony S., In So Kweon

“…We present a novel detection method using a deep convolutional neural network (CNN), named AttentionNet. We cast an object detection problem as an iterative…”
Get full text

Analysis of BRCA1/2 variants of unknown significance in the prospective Korean Hereditary Breast Cancer study by Kim, Joo Heung, Park, Sunggyun, Park, Hyung Seok, Park, Ji Soo, Lee, Seung-Tae, Kim, Sung-Won, Lee, Jong Won, Lee, Min Hyuk, Park, Sue K., Noh, Woo-Chul, Choi, Doo Ho, Han, Wonshik, Jung, Sung Hoo

“…Genetic testing for BRCA1 and BRCA2 is crucial in diagnosing hereditary breast and ovarian cancer syndromes and has increased with the development of multigene…”
Get full text

Evaluation of SARS-CoV-2 Detection Systems Using Clinical Samples and Standard Material: A Comparative Study by Park, Sunggyun, Kim, Do-Hoon

“…Due to the decreasing trends in daily confirmed COVID-19 cases and daily confirmed tests, there is a need for a new testing system capable of quickly and…”
Get full text

Serological evaluation of patients with coronavirus disease-2019 in Daegu, South Korea by Park, Sunggyun, Chang, Soon Hee, Lee, Jae Hee, Lee, Jong Ho, Ham, Ji Yeon, Kim, Yu Kyung, Kim, Sang-Gyung, Ryoo, Nam Hee

“…Early and accurate detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is critical to prevent spread of the infection. Understanding of…”
Get full text

Author Correction: Analysis of BRCA1/2 variants of unknown significance in the prospective Korean Hereditary Breast Cancer study by Kim, Joo Heung, Park, Sunggyun, Park, Hyung Seok, Park, Ji Soo, Lee, Seung‑Tae, Kim, Sung‑Won, Lee, Jong Won, Lee, Min Hyuk, Park, Sue K., Noh, Woo‑Chul, Choi, Doo Ho, Han, Wonshik, Jung, Sung Hoo

Get full text

Three Cases of False-positive Multiplex Ligation-dependent Probe Amplification of BRCA1 by Kim, Kyoung Bo, Park, Sunggyun, Ha, Jung Sook, Ryoo, Namhee, Kim, Do-Hoon

“…KCI Citation Count: 0…”
Get full text

Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea by Yoo, Eun-Hyung, Chang, Soon Hee, Song, Do-Young, Lee, Chae Hoon, Cheong, Gyu Young, Park, Sunggyun, Lee, Jae Hee, Lee, Sooin, Kwak, Sang-Gyu, Jeon, Chang-Ho, Song, Kyung Eun

“…Laboratory parameter abnormalities are commonly observed in COVID-19 patients; however, their clinical significance remains controversial. We assessed the…”
Get full text

Korean Adolescent Patient with Manifestations of Lymphocyte Variant Hypereosinophilic Syndrome and Episodic Angioedema with Eosinophilia, Treated with Reslizumab by Jue, Jie Hee, Shim, Ye Jee, Park, Sunggyun, Kim, Do-Hoon, Jung, Hye Ra

“…A four-year-old female patient visited the pediatric hematologic clinic due to periodic generalized edema and eosinophilia. Laboratory assessment showed an…”
Get full text

Viral load and rebound in children with coronavirus disease 2019 during the first outbreak in Daegu city by Chu, Mi Ae, Jang, Yoon Young, Lee, Dong Won, Kim, Sung Hoon, Ryoo, Namhee, Park, Sunggyun, Lee, Jae Hee, Chung, Hai Lee

“…Viral load and shedding duration are highly associated with the transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection…”
Get full text

Multi-scale pyramid pooling for deep convolutional representation by Yoo, Donggeun, Park, Sunggyun, Lee, Joon-Young, So Kweon, In

“…Compared to image representation based on low-level local descriptors, deep neural activations of Convolutional Neural Networks (CNNs) are richer in mid-level…”
Get full text

Exploring the Spatiotemporal Heterogeneities in Urban Vitality Through Scalable Proxies from Mobile Data by Park, Sunggyun, Lee, Dongwoo

“…Jane Jacob’s concepts of urban vitality and diversity have become prevailing urban planning philosophies in most countries for making cities more livable…”
Get full text

Deep Learning for Chest Radiograph Diagnosis in the Emergency Department by Hwang, Eui Jin, Nam, Ju Gang, Lim, Woo Hyeon, Park, Sae Jin, Jeong, Yun Soo, Kang, Ji Hee, Hong, Eun Kyoung, Kim, Taek Min, Goo, Jin Mo, Park, Sunggyun, Kim, Ki Hwan, Park, Chang Min

“…BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical situations, before its clinical implementation.PurposeTo…”
Get full text

Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population by Lee, Jong Hyuk, Sun, Hye Young, Park, Sunggyun, Kim, Hyungjin, Hwang, Eui Jin, Goo, Jin Mo, Park, Chang Min

“…Background The performance of a deep learning algorithm for lung cancer detection on chest radiographs in a health screening population is unknown. Purpose To…”
Get full text

Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case–control study by Choi, Soo Yun, Park, Sunggyun, Kim, Minchul, Park, Jongchan, Choi, Ye Ra, Jin, Kwang Nam

“…Along with recent developments in deep learning techniques, computer-aided diagnosis (CAD) has been growing rapidly in the medical imaging field. In this work,…”
Get full text