Kuniya Abe

According to our database, Kuniya Abe authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods.

Slo-Li Chu, Kazuhiro Sudo, Hideo Yokota, Kuniya Abe, Yukio Nakamura, Ming-Dar Tsai

Comput. Methods Programs Biomed., February, 2023

Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images.

Slo-Li Chu, Hideo Yokota, Hao-Lun Hsieh, Kuniya Abe, Dooseon Cho, Ming-Dar Tsai

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Quantitative Analyses for Early Tempo-spatial Patterning of Differentiated Human Induced Pluripotent Stem Cells on Micropatterns using Time-lapse Bright-field Microscopy Images.

Slo-Li Chu, Kuniya Abe, Kuan-Ting Lin, Hideo Yokota, Dooseon Cho, Ming-Dar Tsai

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

U-net structures for segmentation of single mouse embryonic stem cells using three-dimensional confocal microscopy images.

Slo-Li Chu, Hideo Yokota, Kuniya Abe, Dooseon Cho, Ming-Dar Tsai

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images.

Slo-Li Chu, Kazuhiro Sudo, Kuniya Abe, Hideo Yokota, Yukio Nakamura, Guan-Ting Liou, Ming-Dar Tsai

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Visualization and quantitative analyses for mouse embryonic stem cell tracking by manipulating hierarchical data structures using time-lapse confocal microscopy images.

Hideo Yokota, Kuniya Abe, Yuan-Hsiang Chang, Dooseon Cho, Ming-Dar Tsai, Pin-Han Huang

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns.

Slo-Li Chu, Kuniya Abe, Hideo Yokota, Dooseon Cho, Yuan-Hao Chen, Ming-Dar Tsai

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images.

Slo-Li Chu, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura, Yuan-Hsiang Chang, Liang-Che Fang, Ming-Dar Tsai

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Trend Training Based RNN for Human Induced Pluripotent Stem Cell Reprogramming Prediction Using Time-Lapse Microscopy Images.

Slo-Li Chu, Shao-Yu Sung, Ming-Dar Tsai, Kuniya Abe, Kazuhiro Sudo, Yukio Nakamura, Hideo Yokota

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

CNN Based iPS Cell Formation Stage Classifier for Human iPS Cell Growth Status Prediction Using Time-lapse Microscopy Images.

Slo-Li Chu, Li-Yu Lin, Ming-Dar Tsai, Kuniya Abe, Kazuhiro Sudo, Yukio Nakamura, Hideo Yokota

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN.

Yuan-Hsiang Chang, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura, Slo-Li Chu, Chih-Yung Hsu, Ming-Dar Tsai

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

SCPortalen: human and mouse single-cell centric database.

Imad Abugessaisa, Shuhei Noguchi, Michael Böttcher, Akira Hasegawa, Tsukasa Kouno, Sachi Kato, Yuhki Tada, Hiroki Ura, Kuniya Abe, Jay W. Shin, Charles Plessy, Piero Carninci, Takeya Kasukawa

Nucleic Acids Res., 2018

Three-Dimensional Segmentation of Mouse Embryonic Stem Cell Nuclei for Quantitative Analysis of Differentiation Activity Using Time-Lapse Fluorescence Microscopy Images.

Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Ming-Dar Tsai

Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2017

Human induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks.

Yuan-Hsiang Chang, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura, Cheng-Yu Lin, Ming-Dar Tsai

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

3D Segmentation, Visualization and Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells using Time-Lapse Fluorescence Microscopy Images.

Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Chun-Chi Chen, Ming-Dar Tsai

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016

Detection and localization of mouse induced pluripotent stem cell formation using time-lapse fluorescence microscopy images.

Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Jung Hsien Liu, Ming-Dar Tsai

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Fluorescence Microscopy Image Processing and Visualization for Analyzing Cell Kinematics, Proliferation and Attachment in Mouse Embryonic Stem Cell Culture.

Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Chih-Cheng Li, Ming-Dar Tsai

Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016