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Eunjung Lee

6PUBLICATIONS
20CO-AUTHORS
Deep learningPredictive and prognostic markersNeural networksCancer diagnosis
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Publications (6)

Sort by Publication Date:
|May 18, 2026
Quantitative Analysis of the Impact of Region of Interest Information on Deep Learning Algorithms for Thyroid Ultrasound Imaging.

|Aug 29, 2025
Radiotranscriptomics in papillary thyroid carcinoma complement current noninvasive risk stratification system.

Dong Hyun Seo, Eunjung Lee, Jung Hyun Yoon

|Feb 23, 2023
Radiomics Analysis of Gray-Scale Ultrasonographic Images of Papillary Thyroid Carcinoma > 1 cm: Potential Biomarker for the Prediction of Lymph Node Metastasis.

Hyun Jung Chung, Kyunghwa Han, Eunjung Lee

|May 14, 2021
Convolutional Neural Network to Stratify the Malignancy Risk of Thyroid Nodules: Diagnostic Performance Compared with the American College of Radiology Thyroid Imaging Reporting and Data System Implemented by Experienced Radiologists.

G R Kim, E Lee, H R Kim

|Feb 21, 2020
Three-dimensional radiomics of triple-negative breast cancer: Prediction of systemic recurrence.

Jieun Koh, Eunjung Lee, Kyunghwa Han

|Dec 29, 2019
Differentiation of thyroid nodules on US using features learned and extracted from various convolutional neural networks.

Eunjung Lee, Heonkyu Ha, Hye Jung Kim

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Frequent Collaborators

4 joint publications

Jin Young Kwak

3 joint publications

Jung Hyun Yoon

2 joint publications

Vivian Youngjean Park

2 joint publications

Hee Jung Moon

2 joint publications

Kyunghwa Han

1 joint publications

G R Kim

1 joint publications

H R Kim

1 joint publications

Heonkyu Ha

1 joint publications

Dong-Kyu Kim

1 joint publications

Hyun Jung Chung

Frequent Collaborators

4 joint publications

Jin Young Kwak

3 joint publications

Jung Hyun Yoon

2 joint publications

Vivian Youngjean Park

2 joint publications

Hee Jung Moon