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Satoko Takemoto
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2020 – today
- 2021
- [j5]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen:
Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images. BMC Bioinform. 22(1): 91 (2021) - [j4]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 396-404 (2021) - 2020
- [j3]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs. Neural Comput. Appl. 32(10): 5669-5679 (2020)
2010 – 2019
- 2019
- [j2]Masahiko Morita, Kazuro Shimokawa, Masaomi Nishimura, Sakiko Nakamura, Yuki Tsujimura, Satoko Takemoto, Takehiro Tawara, Hideo Yokota, Shuhei Wemler, Daisuke Miyamoto, Hidetoshi Ikeno, Akira Sato, Teiichi Furuichi, Norio Kobayashi, Yoshihiro Okumura, Yoko Shiraishi-Yamaguchi, Yuko Okamura-Oho:
ViBrism DB: an interactive search and viewer platform for 2D/3D anatomical images of gene expression and co-expression networks. Nucleic Acids Res. 47(Database-Issue): D859-D866 (2019) - [c7]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen:
A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image. ICASSP 2019: 1239-1243 - 2018
- [c6]Yoshimasa Sakai, Satoko Takemoto, Keisuke Hori, Masaomi Nishimura, Hiroaki Ikematsu, Tomonori Yano, Hideo Yokota:
Automatic detection of early gastric cancer in endoscopic images using a transferring convolutional neural network. EMBC 2018: 4138-4141 - [c5]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen:
A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images. ICNC-FSKD 2018: 202-205 - [i1]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image. CoRR abs/1806.01018 (2018) - 2013
- [c4]Satoko Takemoto, Shin Yoshizawa, Yuki Tsujimura, Hideo Yokota:
A Novel Performance Evaluation System for Fluorescent Cell Image Segmentation. CANDAR 2013: 294-299 - 2010
- [j1]Shin Yoshizawa, Satoko Takemoto, Miwa Takahashi, Makoto Muroi, Sayaka Kazami, Hiromi Miyoshi, Hideo Yokota:
Interactive Registration of Intracellular Volumes with Radial Basis Functions. Int. J. Comput. Intell. Appl. 9(3): 207-224 (2010)
2000 – 2009
- 2009
- [c3]Shin Yoshizawa, Satoko Takemoto, Miwa Takahashi, Makoto Muroi, Sayaka Kazami, Hiromi Miyoshi, Hideo Yokota:
Intracellular Volume Registration. ISDA 2009: 1407-1412 - [c2]Satoko Takemoto, Hideo Yokota:
Algorithm Selection for Intracellular Image Segmentation Based on Region Similarity. ISDA 2009: 1413-1418 - 2004
- [c1]Satoko Takemoto, Taketoshi Mishima, Ryutaro Himeno, Junpei Kimura, Shigehisa Tsumagari, Hideo Yokota, Sakiko Nakamura, Yasuo Nambo:
Semi-automated color segmentation from a biological cross-sectional image series: follicle segmentation from the equine ovary. SMC (4) 2004: 3076-3081
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