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Ryohei Fukuma

Showing results (31-40 of 38) with videos related to

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Communications Biology|January 4, 2026
Brain-aligning of semantic vectors improves neural decoding of visual stimuliShirin Vafaei, Ryohei Fukuma, Takufumi Yanagisawa, et al.
Communications Biology|March 19, 2022
Voluntary control of semantic neural representations by imagery with conflicting visual stimulationRyohei Fukuma, Takufumi Yanagisawa, Shinji Nishimoto, et al.
Neurologia Medico-Chirurgica|December 7, 2025
Temporal Dynamics of Microlesion Effects in Subthalamic Local Field PotentialsNaoki Tani, Takuto Emura, Yuki Kimoto, et al.
Scientific Data|December 11, 2025
Longitudinal multitask wireless electrocorticography data from two fully implanted nonhuman primatesHuixiang Yang, Ryohei Fukuma, Tomoyuki Namima, et al.
International Psychogeriatrics|August 15, 2025
Inferring amyloid pathologies among patients with mild cognitive impairment using phase‒amplitude coupling of electroencephalography: A case‒control studyYuki Miyazaki, Masahiro Hata, Shun Takahashi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 15, 2023
A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre studyYusuke Watanabe, Yuki Miyazaki, Masahiro Hata, et al.
Neuropsychobiology|January 19, 2023
Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with ElectroencephalographyMasahiro Hata, Yusuke Watanabe, Takumi Tanaka, et al.
Scientific Reports|January 1, 2020
Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural networkRyohei Fukuma, Takufumi Yanagisawa, Manabu Kinoshita, et al.
Pageof 4

Showing results (31-40 of 38) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 38 results.
Communications Biology|January 4, 2026
Brain-aligning of semantic vectors improves neural decoding of visual stimuliShirin Vafaei, Ryohei Fukuma, Takufumi Yanagisawa, et al.
Communications Biology|March 19, 2022
Voluntary control of semantic neural representations by imagery with conflicting visual stimulationRyohei Fukuma, Takufumi Yanagisawa, Shinji Nishimoto, et al.
Neurologia Medico-Chirurgica|December 7, 2025
Temporal Dynamics of Microlesion Effects in Subthalamic Local Field PotentialsNaoki Tani, Takuto Emura, Yuki Kimoto, et al.
Scientific Data|December 11, 2025
Longitudinal multitask wireless electrocorticography data from two fully implanted nonhuman primatesHuixiang Yang, Ryohei Fukuma, Tomoyuki Namima, et al.
International Psychogeriatrics|August 15, 2025
Inferring amyloid pathologies among patients with mild cognitive impairment using phase‒amplitude coupling of electroencephalography: A case‒control studyYuki Miyazaki, Masahiro Hata, Shun Takahashi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 15, 2023
A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre studyYusuke Watanabe, Yuki Miyazaki, Masahiro Hata, et al.
Neuropsychobiology|January 19, 2023
Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with ElectroencephalographyMasahiro Hata, Yusuke Watanabe, Takumi Tanaka, et al.
Scientific Reports|January 1, 2020
Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural networkRyohei Fukuma, Takufumi Yanagisawa, Manabu Kinoshita, et al.
Pageof 4