Browse "Dept. of Physics(물리학과)" by Subject machine learning

Showing results 1 to 5 of 5

1
Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Yoon, Jonghee; Jo, Youngju; Kim, Young Seo; Yu, Yeongjin; Park, Jiyeon; Lee, Sumin; Park, Wei Sun; et al, JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, v.141, pp.e58305, 2018-11

2
Label-Free Tomographic Imaging of Lipid Droplets in Foam Cells for Machine-Learning-Assisted Therapeutic Evaluation of Targeted Nanodrugs

Park, Sangwoo; Ahn, Jae Won; Jo, YoungJu; Kang, Ha-Young; Kim, Hyun Jung; Cheon, Yeongmi; Kim, Jin Won; et al, ACS NANO, v.14, no.2, pp.1856 - 1865, 2020-02

3
Machine learning identification of symmetrized base states of Rydberg atoms

Chong, Daryl Ryan; Kim, Minhyuk; Ahn, Jaewook; Jeong, Heejeong, FRONTIERS OF PHYSICS, v.17, no.1, 2022-02

4
Quantitative Phase Imaging and Artificial Intelligence: A Review

Jo, YoungJu; Cho, Hyungjoo; Lee, Sang Yun; Choi, Gunho; Kim, Geon; Min, Hyun-seok; Park, YongKeun, IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, v.25, no.1, pp.6800914, 2019-01

5
Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration

Hong, Seungbum; Liow, Chi Hao; Yuk, Jong Min; Byon, Hye Ryung; Yang, Yongsoo; Cho, EunAe; Yeom, Jiwon; et al, ACS NANO, v.15, no.3, pp.3971 - 3995, 2021-02

rss_1.0 rss_2.0 atom_1.0