User profiles for K. Fukunaga
Kohji FukunagaTohoku University Verified email at tohoku.ac.jp Cited by 21063 |
[HTML][HTML] Signalling pathways in autism spectrum disorder: mechanisms and therapeutic implications
CC Jiang, LS Lin, S Long, XY Ke, K Fukunaga… - Signal transduction and …, 2022 - nature.com
Autism spectrum disorder (ASD) is a prevalent and complex neurodevelopmental disorder
which has strong genetic basis. Despite the rapidly rising incidence of autism, little is known …
which has strong genetic basis. Despite the rapidly rising incidence of autism, little is known …
Role of MAP kinase in neurons
K Fukunaga, E Miyamoto - Molecular neurobiology, 1998 - Springer
Extracellular stimuli such as neurotransmitters, neurotrophins, and growth factors in the
brain regulate critical cellular events, including synaptic transmission, neuronal plasticity, …
brain regulate critical cellular events, including synaptic transmission, neuronal plasticity, …
One‐year follow‐up CT findings in COVID‐19 patients: A systematic review and meta‐analysis
A Watanabe, M So, M Iwagami, K Fukunaga… - …, 2022 - Wiley Online Library
Coronavirus disease 2019 (COVID‐19) often causes radiological and functional pulmonary
sequelae. However, evidence on 1‐year follow‐up of pulmonary sequelae is limited. We …
sequelae. However, evidence on 1‐year follow‐up of pulmonary sequelae is limited. We …
The estimation of the gradient of a density function, with applications in pattern recognition
K Fukunaga, L Hostetler - IEEE Transactions on information …, 1975 - ieeexplore.ieee.org
… Thus we have developed both a kernel and a k-nearestneighbor approach to normalized …
from the kernel estimates to the k-nearest-neighbor case is still an open research problem. …
from the kernel estimates to the k-nearest-neighbor case is still an open research problem. …
[BOOK][B] Introduction to statistical pattern recognition
K Fukunaga - 2013 - books.google.com
… When no parametric structure can be assumed for the density functions, we must use
nonparametric techniques such as the Parzen and k-nearest neighbor approaches for estimating …
nonparametric techniques such as the Parzen and k-nearest neighbor approaches for estimating …
Differential effects of α‐, β‐and γ‐cyclodextrins on human erythrocytes
…, T Irie, K Uekama, K Fukunaga… - European journal of …, 1989 - Wiley Online Library
α‐, β‐ and γ‐cyclodextrins are cyclic hexamers, heptamers, and octamers of glucose,
respectively, and thus are hydrophilic; nevertheless, they have the ability to solubilize lipids …
respectively, and thus are hydrophilic; nevertheless, they have the ability to solubilize lipids …
Application of the Karhunen-Loeve expansion to feature selection and ordering
K Fukunaga, WLG Koontz - IEEE Transactions on computers, 1970 - ieeexplore.ieee.org
… for classification purposes becomes the evaluation of variables in the distributions of A (k)'s. …
Since Marill and Green gave 2.75 percent error experimentally and Fukunaga and Krile …
Since Marill and Green gave 2.75 percent error experimentally and Fukunaga and Krile …
Impairment of long-term potentiation and spatial memory in leptin receptor-deficient rodents
XL Li, S Aou, Y Oomura, N Hori, K Fukunaga, T Hori - Neuroscience, 2002 - Elsevier
Leptin is well known to be involved in the control of feeding, reproduction and neuroendocrine
functions through its action on the hypothalamus. However, leptin receptors are found in …
functions through its action on the hypothalamus. However, leptin receptors are found in …
Interferon and IL-27 antagonize the function of group 2 innate lymphoid cells and type 2 innate immune responses
…, N Takeno, M Mochizuki, K Fukunaga, K Asano… - Nature …, 2016 - nature.com
Group 2 innate lymphoid cells (ILC2 cells) are type 2 cytokine–producing cells of the innate
immune system with important roles in helminth infection and allergic inflammation. Here we …
immune system with important roles in helminth infection and allergic inflammation. Here we …
The optimal distance measure for nearest neighbor classification
R Short, K Fukunaga - IEEE transactions on Information Theory, 1981 - ieeexplore.ieee.org
… Results obtained by Fukunaga and Hostetler [2] for K-NN density estimation predict that the
variance of the finite sample estimate may be minimized by the proper choice of the metric. …
variance of the finite sample estimate may be minimized by the proper choice of the metric. …