Browse "ME-Journal Papers(저널논문)" by Author Kim, Gyuwon

Showing results 1 to 8 of 8

1
Bi-Modal Transfer Learning for Classifying Breast Cancers via Combined B-Mode and Ultrasound Strain Imaging

Misra, Sampa; Jeon, Seungwan; Managuli, Ravi; Lee, Seiyon; Kim, Gyuwon; Yoon, Chiho; Lee, Seungchul; et al, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.69, no.1, pp.222 - 232, 2022-01

2
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging

Kim, Jongbeom; Kim, Gyuwon; Li, Lei; Zhang, Pengfei; Kim, Jin Young; Kim, Yeonggeun; Kim, Hyung Ham; et al, LIGHT-SCIENCE & APPLICATIONS, v.11, no.1, 2022-05

3
Deep learning-based discriminative refocusing of scanning electron microscopy images for materials science

Na, Juwon; Kim, Gyuwon; Kang, Seong-Hoon; Kim, Se-Jong; Lee, Seungchul, ACTA MATERIALIA, v.214, 2021-08

4
Deep Learning-Based Estimation of the Unknown Road Profile and State Variables for the Vehicle Suspension System

Kim, Gyuwon; Lee, Soo Young; Oh, Jong-Seok; Lee, Seungchul, IEEE ACCESS, v.9, pp.13878 - 13890, 2021

5
High throughput screening of mesenchymal stem cell lines using deep learning

Kim, Gyuwon; Jeon, Jung Ho; Park, Keonhyeok; Kim, Sung Won; Kim, Do Hyun; Lee, Seungchul, SCIENTIFIC REPORTS, v.12, no.1, 2022-10

6
Integrated deep learning framework for accelerated optical coherence tomography angiography

Kim, Gyuwon; Kim, Jongbeom; Choi, Woo June; Kim, Chulhong; Lee, Seungchul, SCIENTIFIC REPORTS, v.12, no.1, 2022-01

7
Recent Advances in the Application of Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery

Tama, Bayu Adhi; Kim, Hyun; Kim, Gyuwon; Kim, Soo Whan; Lee, Seungchul, CLINICAL AND EXPERIMENTAL OTORHINOLARYNGOLOGY, v.13, no.4, pp.326 - 339, 2020-11

8
Super-resolving material microstructure image via deep learning for microstructure characterization and mechanical behavior analysis

Jung, Jaimyun; Na, Juwon; Park, Hyung Keun; Park, Jeong Min; Kim, Gyuwon; Lee, Seungchul; Kim, Hyoung Seop, NPJ COMPUTATIONAL MATERIALS, v.7, no.1, 2021-06

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