Sungwon Kim

发表

Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network

Jin Hwa Lee, Y. M. Park, Eun-Kyung Kim, 2020, Scientific Reports.

Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice

Hyun Joo Shin, Sungwon Kim, Eun-Kyung Kim, 2022, Korean journal of radiology.

Postoperative Recurrence of Hepatocellular Carcinoma: The Importance of Distinguishing between Intrahepatic Metastasis and Multicentric Occurrence—Response

Myeong-Jin Kim, Jin-Young Choi, Sungwon Kim, 2019, Clinical Cancer Research.

A Radiomics Approach for the Classification of Fibroepithelial Lesions on Breast Ultrasonography.

Si Eun Lee, Sungwon Kim, Eun-Kyung Kim, 2020, Ultrasound in medicine & biology.

Self-supervised inter- and intra-slice correlation learning for low-dose CT image restoration without ground truth

Sungwon Kim, Kihwan Choi, J. Lim, 2022, Expert Syst. Appl..

A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks

Sungwon Kim, Hyunseok Seo, Kihwan Choi, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis

Sungjun Kim, Young Han Lee, Sungwon Kim, 2018, Scientific Reports.

Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis

Si Eun Lee, Sungwon Kim, Eun-Kyung Kim, 2020, Scientific Reports.

Evaluation of Early Response to Treatment of Hepatocellular Carcinoma with Yttrium-90 Radioembolization Using Quantitative Computed Tomography Analysis

Myeong-Jin Kim, Jin-Young Choi, Kyunghwa Han, 2019, Korean journal of radiology.

Deep‐learning system for real‐time differentiation between Crohn's disease, intestinal Behçet's disease, and intestinal tuberculosis

Sungwon Kim, J. Cheon, Jung Min Kim, 2021, Journal of gastroenterology and hepatology.

MRI Radiomic Features: Association with Disease-Free Survival in Patients with Triple-Negative Breast Cancer

Min Jung Kim, J. H. Yoon, Sungwon Kim, 2020, Scientific Reports.

MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy.

J. Lim, W. Koom, Sungwon Kim, 2022, Radiology.

A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting

Jae-Joon Chung, J. Lim, Kyunghwa Han, 2021, Scientific reports.

Radiomics on Gadoxetic Acid–Enhanced Magnetic Resonance Imaging for Prediction of Postoperative Early and Late Recurrence of Single Hepatocellular Carcinoma

Myeong-Jin Kim, Gi Hong Choi, Jin-Young Choi, 2019, Clinical Cancer Research.

Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer

Si Eun Lee, Sungwon Kim, Eun-Kyung Kim, 2020, Ultrasonography.

Gadoxetic acid enhanced magnetic resonance imaging for prediction of the postoperative prognosis of intrahepatic mass-forming cholangiocarcinoma

Myeong-Jin Kim, Kyunghwa Han, Sungwon Kim, 2018, Abdominal Radiology.

Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists

Han S. Lee, J. Lim, Kyunghwa Han, 2021, European Radiology.

StatNet: Statistical Image Restoration for Low-Dose CT using Deep Learning

Kihwan Choi, Sung-Won Kim, Joon Seok Lim, 2020, IEEE Journal of Selected Topics in Signal Processing.

Semi-Supervised Learning for Low-Dose CT Image Restoration with Hierarchical Deep Generative Adversarial Network (HD-GAN)*

Kihwan Choi, Malinda Vania, Sungwon Kim, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep Learning for the Detection of Breast Cancers on Chest Computed Tomography.

Kyunghwa Han, J. Koh, Sungwon Kim, 2021, Clinical breast cancer.

T2-weighted signal intensity-selected volumetry for prediction of pathological complete response after preoperative chemoradiotherapy in locally advanced rectal cancer

Myeong-Jin Kim, J. Lim, Kyunghwa Han, 2018, European Radiology.

Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children

Haesung Yoon, Mi-Jung Lee, Kyunghwa Han, 2019, Scientific Reports.

Diagnostic accuracy of prospective application of the Liver Imaging Reporting and Data System (LI-RADS) in gadoxetate-enhanced MRI

Myeong-Jin Kim, Sungwon Kim, C. An, 2018, European Radiology.

Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs

Sungwon Kim, Eun-Kyung Kim, Nak-Hoon Son, 2023, PloS one.

Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis

Young Han Lee, Sungwon Kim, Kiwook Kim, 2018, Scientific Reports.

Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI

J. Lim, Sungwon Kim, Seunghyun Lee, 2021, Applied Sciences.

Histogram-derived modified thresholds for coronary artery calcium scoring with lower tube voltage

H. Lee, Sungha Park, Kyunghwa Han, 2021, Scientific Reports.

Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer

J. Lim, Kyunghwa Han, Sungwon Kim, 2021, Korean journal of radiology.

Self-supervised inter- and intra-slice correlation learning for low-dose CT image restoration without ground truth

Sungwon Kim, Kihwan Choi, J. Lim, 2022, Expert Syst. Appl..

Radiomics model versus 2017 revised international consensus guidelines for predicting malignant intraductal papillary mucinous neoplasms.

Mi-Suk Park, Sungwon Kim, S. Baek, 2023, European radiology.

MRI Radiomic Features: Association with Disease-Free Survival in Patients with Triple-Negative Breast Cancer

Min Jung Kim, J. H. Yoon, Sungwon Kim, 2020, Scientific Reports.