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Akinori Mitani

Showing results (1-10 of 18) with videos related to

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Frontiers in Neuroinformatics|January 9, 2019
Real-Time Processing of Two-Photon Calcium Imaging Data Including Lateral Motion Artifact CorrectionAkinori Mitani, Takaki Komiyama
Current Biology : CB|December 19, 2017
Brain-Computer Interface with Inhibitory Neurons Reveals Subtype-Specific StrategiesAkinori Mitani, Mingyuan Dong, Takaki Komiyama
Journal of Neurophysiology|October 7, 2016
Whisker row deprivation affects the flow of sensory information through rat barrel cortexVincent Jacob, Akinori Mitani, Taro Toyoizumi, et al.
Plos One|March 28, 2013
A leaky-integrator model as a control mechanism underlying flexible decision making during task switchingAkinori Mitani, Ryo Sasaki, Masafumi Oizumi, et al.
Cerebral Cortex (New York, N.Y. : 1991)|January 28, 2022
Task-specific employment of sensory signals underlies rapid task switchingRyo Sasaki, Hironori Kumano, Akinori Mitani, et al.
Science Advances|November 7, 2019
Disengagement of motor cortex from movement control during long-term learningEun Jung Hwang, Jeffrey E Dahlen, Yvonne Yuling Hu, et al.
Nature Biomedical Engineering|December 25, 2019
Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering|February 14, 2020
Author Correction: Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering|March 30, 2022
Detection of signs of disease in external photographs of the eyes via deep learningBoris Babenko, Akinori Mitani, Ilana Traynis, et al.
The Lancet. Digital Health|March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learningAshish Bora, Siva Balasubramanian, Boris Babenko, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Frontiers in Neuroinformatics|January 9, 2019
Real-Time Processing of Two-Photon Calcium Imaging Data Including Lateral Motion Artifact CorrectionAkinori Mitani, Takaki Komiyama
Current Biology : CB|December 19, 2017
Brain-Computer Interface with Inhibitory Neurons Reveals Subtype-Specific StrategiesAkinori Mitani, Mingyuan Dong, Takaki Komiyama
Journal of Neurophysiology|October 7, 2016
Whisker row deprivation affects the flow of sensory information through rat barrel cortexVincent Jacob, Akinori Mitani, Taro Toyoizumi, et al.
Plos One|March 28, 2013
A leaky-integrator model as a control mechanism underlying flexible decision making during task switchingAkinori Mitani, Ryo Sasaki, Masafumi Oizumi, et al.
Cerebral Cortex (New York, N.Y. : 1991)|January 28, 2022
Task-specific employment of sensory signals underlies rapid task switchingRyo Sasaki, Hironori Kumano, Akinori Mitani, et al.
Science Advances|November 7, 2019
Disengagement of motor cortex from movement control during long-term learningEun Jung Hwang, Jeffrey E Dahlen, Yvonne Yuling Hu, et al.
Nature Biomedical Engineering|December 25, 2019
Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering|February 14, 2020
Author Correction: Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering|March 30, 2022
Detection of signs of disease in external photographs of the eyes via deep learningBoris Babenko, Akinori Mitani, Ilana Traynis, et al.
The Lancet. Digital Health|March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learningAshish Bora, Siva Balasubramanian, Boris Babenko, et al.
Pageof 2