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2020 – today
- 2023
[c5]Slo-Li Chu, Kuniya Abe, Kuan-Ting Lin, Hideo Yokota, Dooseon Cho, Ming-Dar Tsai:
Quantitative Analyses for Early Tempo-spatial Patterning of Differentiated Human Induced Pluripotent Stem Cells on Micropatterns using Time-lapse Bright-field Microscopy Images. EMBC 2023: 1-4- [c4]Slo-Li Chu, Hideo Yokota, Hao-Lun Hsieh, Kuniya Abe, Dooseon Cho, Ming-Dar Tsai:
Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images. EMBC 2023: 1-4 - 2022
- [c3]Slo-Li Chu, Hideo Yokota, Kuniya Abe, Dooseon Cho, Ming-Dar Tsai:
U-net structures for segmentation of single mouse embryonic stem cells using three-dimensional confocal microscopy images. EMBC 2022: 512-515 - 2021
- [c2]Hideo Yokota, Kuniya Abe, Yuan-Hsiang Chang, Dooseon Cho, Ming-Dar Tsai, Pin-Han Huang:
Visualization and quantitative analyses for mouse embryonic stem cell tracking by manipulating hierarchical data structures using time-lapse confocal microscopy images. EMBC 2021: 2944-2947 - [c1]Slo-Li Chu, Kuniya Abe, Hideo Yokota, Dooseon Cho, Yuan-Hao Chen, Ming-Dar Tsai:
High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns. EMBC 2021: 3713-3716
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