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Slo-Li Chu

Showing results (1-10 of 11) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
U-net structures for segmentation of single mouse embryonic stem cells using three-dimensional confocal microscopy imagesSlo-Li Chu, Hideo Yokota, Kuniya Abe, et al.
Journal of Microscopy|July 12, 2024
Deep learning for quantifying spatial patterning and formation process of early differentiated human-induced pluripotent stem cells with micropattern imagesSlo-Li Chu, Kuniya Abe, Hideo Yokota, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Quantitative Analyses for Early Tempo-spatial Patterning of Differentiated Human Induced Pluripotent Stem Cells on Micropatterns using Time-lapse Bright-field Microscopy ImagesSlo-Li Chu, Kuniya Abe, Kuan-Ting Lin, et al.
Computer Methods and Programs in Biomedicine|December 6, 2022
Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methodsSlo-Li Chu, Kazuhiro Sudo, Hideo Yokota, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on MicropatternsSlo-Li Chu, Kuniya Abe, Hideo Yokota, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy ImagesSlo-Li Chu, Hideo Yokota, Hao-Lun Hsieh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Deep Learning Method for Estimating Germ-layer Regions of Early Differentiated Human Induced Pluripotent Stem Cells on Micropattern Using Bright-field Microscopy ImageSlo-Li Chu, Hideo Yokota, Pai-Ting Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy ImagesSlo-Li Chu, Kazuhiro Sudo, Kuniya Abe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy ImagesSlo-Li Chu, Kuniya Abe, Hideo Yokota, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNNYuan-Hsiang Chang, Kuniya Abe, Hideo Yokota, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
U-net structures for segmentation of single mouse embryonic stem cells using three-dimensional confocal microscopy imagesSlo-Li Chu, Hideo Yokota, Kuniya Abe, et al.
Journal of Microscopy|July 12, 2024
Deep learning for quantifying spatial patterning and formation process of early differentiated human-induced pluripotent stem cells with micropattern imagesSlo-Li Chu, Kuniya Abe, Hideo Yokota, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Quantitative Analyses for Early Tempo-spatial Patterning of Differentiated Human Induced Pluripotent Stem Cells on Micropatterns using Time-lapse Bright-field Microscopy ImagesSlo-Li Chu, Kuniya Abe, Kuan-Ting Lin, et al.
Computer Methods and Programs in Biomedicine|December 6, 2022
Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methodsSlo-Li Chu, Kazuhiro Sudo, Hideo Yokota, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on MicropatternsSlo-Li Chu, Kuniya Abe, Hideo Yokota, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy ImagesSlo-Li Chu, Hideo Yokota, Hao-Lun Hsieh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Deep Learning Method for Estimating Germ-layer Regions of Early Differentiated Human Induced Pluripotent Stem Cells on Micropattern Using Bright-field Microscopy ImageSlo-Li Chu, Hideo Yokota, Pai-Ting Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy ImagesSlo-Li Chu, Kazuhiro Sudo, Kuniya Abe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy ImagesSlo-Li Chu, Kuniya Abe, Hideo Yokota, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNNYuan-Hsiang Chang, Kuniya Abe, Hideo Yokota, et al.
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