Full list

Publications

* co-first authors  ·  ** co-corresponding authors
S. Han (underlined) indicates the author's name.

16
Total papers
2
Nature family
Filter
2026
  • Abunmix enables the simple and robust multiplexed immunofluorescence imaging
    W. La*, S. Bae*, J. Seo*, H. Yu*, J. Cho, H. Kim, H. Nam, S. Han, E. Yi, E. Kim, C. Kang, H. Shin, C. W. Song, Y.-G. Yoon**, J.-B. Chang**.
    View(accepted)
  • Event-based optical imaging and reconstruction of in vivo neuronal and vascular dynamics
    J. Yoon*, S. Kim*, S. Han*, M. Eom, E.-S. Cho, F. D. Nezhad, S. Hong, E. Kim, I.-H. Park, E. Chung, K. Shin, Y.-G. Yoon**, M. Choi**.
    PhotoniX
2025
  • Self-supervised video processing with self-calibration on an analogue selector-less memristor array-based platform
    H. Jeong*, S. Han*, S.-O. Park, T. R. Kim, J. Bae, T.-H. Jang, Y. Cho, S. Seo, H.-J. Jeong, S. Park, T. Park, J. Oh, J. Park, D. Jeon, I. Kwon, Y.-G. Yoon**, S. Choi**.
    Nature Electronics News & Views · Editorial · KAIST Breakthroughs
  • Nanoscale resolution imaging of the whole mouse embryos and larval zebrafish using expansion microscopy
    J. Sim*, C. E. Park*, I. Cho*, K. Min, M. Eom, S. Han, H. Jeon, E.-S. Cho, Y. Lee, Y. H. Yun, S. Lee, D.-H. Cheon, J. Kim, M. Kim, H.-J. Cho, J.-W. Park, A. Kumar, Y. Chong, J. S. Kang, K. D. Piatkevich, E. E. Jung, D.-S. Kang, S.-K. Kwon, J. Kim, K.-J. Yoon, J.-S. Lee, C.-H. Kim, M. Choi, J. W. Kim, M.-R. Song, H. J. Choi, E. S. Boyden, Y.-G. Yoon**, J.-B. Chang**.
    ACS Nano
  • Design Principles of Multi-Scale J-invariant Networks for Self-Supervised Image Denoising
    H. Yu*, S. Han*, Y.-G. Yoon.
    WACV 2025 Oral
2024
  • In Vivo Optical Clearing of Mammalian Brain
    G. T. Franzesi*, I. Gupta*, M. Hu, K. Piatkevich, M. Yildirim, J.-P. Zhao, M. Eom, S. Han, D. Park, H. Andaraarachchi, Z. Li, J. Greenhagen, A. M. Islam, P. Vashishtha, Z. Yaqoob, N. Pak, A. D. Wissner-Gross, D. A. Martin-Alarcon, J. J. Veinot, P. T. C. So, U. Kortshagen, Y.-G. Yoon, M. Sur**, E. S. Boyden**.
    bioRxiv
  • From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy
    S. Han, J. Y. You, M. Eom, S. Ahn, E.-S. Cho, Y.-G. Yoon.
    Advanced Photonics Research
2023
  • Statistically unbiased prediction enables accurate denoising of voltage imaging data
    M. Eom*, S. Han*, P. Park*, G. Kim, E.-S. Cho, J. Sim, K.-H. Lee, S. Kim, H. Tian, U. L. Böhm, E. Lowet, H. Tseng, J. Choi, S. E. Lucia, S. H. Ryu, M. Rózsa, S. Chang, P. Kim, X. Han, K. D. Piatkevich, M. Choi, C.-H. Kim, A. E. Cohen, J.-B. Chang, Y.-G. Yoon.
    Nature Methods Cover · KAIST Breakthroughs
  • In vivo whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy
    E.-S. Cho, S. Han, G. Kim, M. Eom, K.-H. Lee, C.-H. Kim, Y.-G. Yoon.
    Journal of Visualized Experiments
  • Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition
    J. Cho*, S. Han*, E.-S. Cho, K. Shin, Y.-G. Yoon.
    WACV 2023
2022
  • 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, Y.-G. Yoon**, J.-B. Chang**.
    bioRxivCover · KAIST Breakthroughs
  • Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network
    C. Shin*, H. Ryu*, E.-S. Cho, S. Han, K.-H. Lee, C.-H. Kim, Y.-G. Yoon.
    Medical Image Analysis
2021
  • Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data
    S. Han, E.-S. Cho, I. Park, K. Shin, Y.-G. Yoon.
    MICCAI 2021
  • 3DM: Deep decomposition and deconvolution microscopy for rapid neural activity imaging
    E.-S. Cho*, S. Han*, K.-H. Lee, C.-H. Kim, Y.-G. Yoon.
    Optics ExpressEditor's Pick · Image of the Week
2019
  • Smartphone Application to Estimate Distances from LTE Base Stations Based on Received Signal Strength Measurements
    S. Han, T. Kang, J. Seo.
    ITC-CSCC 2019
2018
  • Observation of Human Trajectory in Response to Haptic Feedback from Mobile Robot
    H.-S. Moon, W. Kim, S. Han, J. Seo.
    ICCAS 2018