Seungchul Lee

Assistant Professor

Pohang University of Science and Technology

South Korea

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About

Seungchul Lee is an Assistant Professor at Pohang University of Science and Technology in South Korea. His research focuses on deep learning applications in medical imaging, industrial manufacturing, and materials science. Recent publications include advancements in cancer classification through imaging techniques and the use of deep learning for fault detection in industrial processes.

Articles (10)

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (4)

Hyungyu Jin

Assistant Professor

Pohang University of Science and Technology

SOUTH KOREA

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Young-Seok Cho

SOUTH KOREA

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Sangkee Min

Associate Professor

University of Wisconsin-Madison

UNITED STATES

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Jong-Seok Oh

Professor

Kongju National University

SOUTH KOREA

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Seungchul Lee

Research Interests

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About

Articles (10)

Bi-Modal Transfer Learning for Classifying Breast Cancers via Combined B-Mode and Ultrasound Strain Imaging

Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review

Deep learning-based phase prediction of high-entropy alloys: Optimization, generation, and explanation

Gallbladder Polyp Classification in Ultrasound Images Using an Ensemble Convolutional Neural Network Model

Applications of deep learning for fault detection in industrial cold forging

Comments on “Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection”

Convolutional neural network-based object detection model to identify gastrointestinal stromal tumors in endoscopic ultrasound images

Deep Learning-Based Estimation of the Unknown Road Profile and State Variables for the Vehicle Suspension System

Deep learning-based discriminative refocusing of scanning electron microscopy images for materials science

Deep learning-based method for multiple sound source localization with high resolution and accuracy

Collaborators (4)

Hyungyu Jin

Young-Seok Cho

Sangkee Min

Jong-Seok Oh

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