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Seungjae Han
Seungjae Han
Ph.D. student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Nanoscale resolution imaging of the whole mouse embryos and larval zebrafish using expansion microscopy
J Sim*, CE Park*, I Cho*, K Min, M Eom, S Han, H Jeon, HJ Cho, ES Cho, ...
bioRxiv, 2021.05. 18.443629, 2021
192021
Smartphone application to estimate distances from LTE base stations based on received signal strength measurements
S Han, T Kang, J Seo
2019 34th International Technical Conference on Circuits/Systems, Computers …, 2019
182019
Efficient neural network approximation of robust pca for automated analysis of calcium imaging data
S Han, ES Cho, I Park, K Shin, YG Yoon
International Conference on Medical Image Computing and Computer-Assisted …, 2021
102021
Statistically unbiased prediction enables accurate denoising of voltage imaging data
M Eom*, S Han*, P Park*, G Kim, ES Cho, J Sim, KH Lee, S Kim, H Tian, ...
Nature Methods, 1-12, 2023
72023
Observation of human trajectory in response to haptic feedback from mobile robot
HS Moon, W Kim, S Han, J Seo
2018 18th International Conference on Control, Automation and Systems (ICCAS …, 2018
62018
3DM: deep decomposition and deconvolution microscopy for rapid neural activity imaging
ES Cho*, S Han*, KH Lee, CH Kim, YG Yoon
Optics Express 29 (20), 32700-32711, 2021
42021
Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition
J Cho*, S Han*, ES Cho, K Shin, YG Yoon
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
22023
In vivo whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy
ES Cho, S Han, G Kim, M Eom, KH Lee, CH Kim, YG Yoon
JoVE (Journal of Visualized Experiments), e65218, 2023
12023
Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network
C Shin*, H Ryu*, ES Cho, S Han, KH Lee, CH Kim, YG Yoon
Medical Image Analysis 82, 102600, 2022
12022
IMPASTO: Multiplexed cyclic imaging without signal removal via self-supervised neural unmixing
H Kim*, S Bae*, J Cho, H Nam, J Seo, S Han, E Yi, E Kim, YG Yoon, ...
bioRxiv, 2022.11. 22.517463, 2022
12022
Statistically unbiased prediction enables accurate denoising of voltage imaging data
M Eom*, S Han*, G Kim, ES Cho, J Sim, P Park, KH Lee, S Kim, M Rozsa, ...
bioRxiv, 2022.11. 17.516709, 2022
2022
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