Sungwon Lee

Orcid: 0000-0002-1684-2996

Affiliations:

National Institutes of Health (NIH) Clinical Center, Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences Department, Bethesda, MD, USA

According to our database¹, Sungwon Lee authored at least 20 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Universal detection and segmentation of lymph nodes in multi-parametric MRI.

[BibT_eX]

[DOI]

Tejas Sudharshan Mathai

Int. J. Comput. Assist. Radiol. Surg., January, 2024

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification.

[BibT_eX]

[DOI]

CoRR, 2024

Detection of abdominopelvic lymph nodes in multi-parametric MRI.

[BibT_eX]

[DOI]

Tejas Sudharshan Mathai

Comput. Medical Imaging Graph., 2024

2023

Universal lymph node detection in T2 MRI using neural networks.

[BibT_eX]

[DOI]

Tejas Sudharshan Mathai

Int. J. Comput. Assist. Radiol. Surg., February, 2023

Universal lymph node detection in multiparametric MRI with selective augmentation.

[BibT_eX]

[DOI]

Tejas Sudharshan Mathai

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Robust convolutional neural networks against adversarial attacks on medical images.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Automated Assessment of Renal Calculi in Serial Computed Tomography Scans.

[BibT_eX]

[DOI]

Proceedings of the Applications of Medical Artificial Intelligence, 2022

A graph-theoretic algorithm for small bowel path tracking in CT scans.

[BibT_eX]

[DOI]

Seung Yeon Shin

Sungwon Lee

Ronald M. Summers

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Lymph node detection in T2 MRI with transformers.

[BibT_eX]

[DOI]

Tejas Sudharshan Mathai

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Graph-Based Small Bowel Path Tracking with Cylindrical Constraints.

[BibT_eX]

[DOI]

Seung Yeon Shin

Sungwon Lee

Ronald M. Summers

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2021

Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation.

[BibT_eX]

[DOI]

Seung Yeon Shin

Sungwon Lee

Ronald M. Summers

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles.

[BibT_eX]

[DOI]

Tejas Sudharshan Mathai

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020