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Tsubasa Hirakawa

Showing results (1-10 of 8) with videos related to

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Frontiers in Public Health|August 22, 2022
A graph convolutional network for predicting COVID-19 dynamics in 190 regions/countriesSumiko Anno, Tsubasa Hirakawa, Satoru Sugita, et al.
Biology Letters|January 14, 2025
Dorsoventral comparison of intraspecific variation in the butterfly wing pattern using a convolutional neural networkKai Amino, Tsubasa Hirakawa, Masaya Yago, et al.
Plos Genetics|March 19, 2025
Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utilityKeita Ito, Tsubasa Hirakawa, Shuji Shigenobu, 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 9, 2015
SVM-MRF segmentation of colorectal NBI endoscopic imagesTsubasa Hirakawa, Tom Tamaki, Bisser Raytchev, et al.
Artificial Intelligence in Medicine|April 8, 2016
Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognitionTsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, et al.
Gastrointestinal Endoscopy|August 13, 2015
Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopyYoko Kominami, Shigeto Yoshida, Shinji Tanaka, 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 7, 2016
Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classificationShoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki, 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 11, 2013
Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVMTsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, et al.
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Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Public Health|August 22, 2022
A graph convolutional network for predicting COVID-19 dynamics in 190 regions/countriesSumiko Anno, Tsubasa Hirakawa, Satoru Sugita, et al.
Biology Letters|January 14, 2025
Dorsoventral comparison of intraspecific variation in the butterfly wing pattern using a convolutional neural networkKai Amino, Tsubasa Hirakawa, Masaya Yago, et al.
Plos Genetics|March 19, 2025
Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utilityKeita Ito, Tsubasa Hirakawa, Shuji Shigenobu, 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 9, 2015
SVM-MRF segmentation of colorectal NBI endoscopic imagesTsubasa Hirakawa, Tom Tamaki, Bisser Raytchev, et al.
Artificial Intelligence in Medicine|April 8, 2016
Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognitionTsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, et al.
Gastrointestinal Endoscopy|August 13, 2015
Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopyYoko Kominami, Shigeto Yoshida, Shinji Tanaka, 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 7, 2016
Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classificationShoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki, 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 11, 2013
Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVMTsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, et al.
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