Extraction of groove feelings from drum data using non-negative matrix factorization. - Yoshito Ohya; Kazuyuki Nakamura; Terumasa Tokunaga (SCIS&ISIS, 2012)

Separation of stationary and non-stationary sources with a generalized eigenvalue problem. - Satoshi Hara 001; Yoshinobu Kawahara; Takashi Washio; Paul von Bünau; Terumasa Tokunaga; Kiyohumi Yumoto (Neural Networks, 2012)

Automated detection and tracking of many cells by using 4D live-cell imaging data. - Terumasa Tokunaga; Osamu Hirose; Shotaro Kawaguchi; Yu Toyoshima; Takayuki Teramoto; Hisaki Ikebata; Sayuri Kuge; Takeshi Ishihara; Yuichi Iino; Ryo Yoshida (Bioinform., 2014)

Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space. - Yu Toyoshima; Terumasa Tokunaga; Osamu Hirose; Manami Kanamori; Takayuki Teramoto; Moon Sun Jang; Sayuri Kuge; Takeshi Ishihara; Ryo Yoshida; Yuichi Iino (PLoS Comput. Biol., 2016)

SPF-CellTracker: Tracking Multiple Cells with Strongly-Correlated Moves Using a Spatial Particle Filter. - Osamu Hirose; Shotaro Kawaguchi; Terumasa Tokunaga; Yu Toyoshima; Takayuki Teramoto; Sayuri Kuge; Takeshi Ishihara; Yuichi Iino; Ryo Yoshida (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Identifying Snowfall Clouds at Syowa Station, Antarctica via a Convolutional Neural Network. - Kazue Suzuki; Masaki Shimomura; Kazuyuki Nakamura; Naohiko Hirasawa; Hironori Yabuki; Takashi Yamanouchi; Terumasa Tokunaga (JSAI, 2020)

Image-based plant disease diagonasis with unsupervised anomaly detection based on reconstructability of colors. - Ryoya Katafuchi; Terumasa Tokunaga (CoRR, 2020)

Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection based on Reconstructability of Colors. - Ryoya Katafuchi; Terumasa Tokunaga (IMPROVE, 2021)

LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection. - Ryoya Katafuchi; Terumasa Tokunaga (CoRR, 2021)

Layer-wise External Attention for Efficient Deep Anomaly Detection. - Tokihisa Hayakawa; Keiichi Nakanishi; Ryoya Katafuchi; Terumasa Tokunaga (IMPROVE, 2023)

Global-Local Consistency for Cost-Effective Anomaly Localization with Point Annotations. - Keiichi Nakanishi; Ryoya Katafuchi; Terumasa Tokunaga (IIAI-AAI, 2024)

Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection. - Keiichi Nakanishi; Ryo Shiroma; Tokihisa Hayakawa; Ryoya Katafuchi; Terumasa Tokunaga (SN Comput. Sci., 2024)