Yasuo Yamashita

发表

Imaging of elastic modulus of incompressible biological soft tissue from a knowledge of displacement measurements

Yasuo Yamashita, Mitsuhiro Kubota, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Computer-aided evaluation method of white matter hyperintensities related to subcortical vascular dementia based on magnetic resonance imaging

Yasuo Yamashita, Yasuo Kawata, Hidetaka Arimura, 2010, Comput. Medical Imaging Graph..

Corroboration Effect of Current Net Earnings and Management’s Net Earnings Forecasts in Japan’s Corporate Bond Market

Takao Terano, Hiroshi Takahashi, Yasuo Yamashita, 2017, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC).

Learning a Pension Investment in Consideration of Liability through Business Game

Takao Terano, Hiroshi Takahashi, Yasuo Yamashita, 2009, PRIMA Workshops.

Computerized evaluation method of white matter hyperintensities related to subcortical vascular dementia in brain MR images

Yasuo Yamashita, Yasuo Kawata, Hidetaka Arimura, 2010, Medical Imaging.

Knowledge Discovery by Hopfield Network

Yasuo Yamashita, Thanakorn Sornkaew, Thanakorn Sornkaew, 2004 .

Computer-aided classification of patients with dementia of Alzheimer's type based on cerebral blood flow determined with arterial spin labeling technique

Yasuo Yamashita, Hidetaka Arimura, Taiki Magome, 2010, Medical Imaging.

A Knowledge Discovery by Fuzzy Rule Based Hopfield Network

Yasuo Yamashita, Thanakorn Sornkaew, 2002, IDEAL.

Magnetic Resonance Image Analysis for Brain CAD Systems with Machine Learning

Yasuo Yamashita, Hidetaka Arimura, Chiaki Tokunaga, 2012 .

Computer-aided differential diagnosis system for Alzheimer’s disease based on machine learning with functional and morphological image features in magnetic resonance imaging

Yasuo Yamashita, Hidetaka Arimura, Fukai Toyofuku, 2013 .

Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images

Daisuke Yamamoto, Yasuo Yamashita, Hidetaka Arimura, 2009, Algorithms.

Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine

Daisuke Yamamoto, Yasuo Yamashita, Hidetaka Arimura, 2010, Comput. Medical Imaging Graph..

Comparison images between PET and SPECT of 90Y: A Monte-Carlo simulation study

Yasuo Yamashita, Masayuki Sasaki, Akihiko Takahashi, 2015 .

3-Dimensional Shape Measurement

Yasuo Yamashita, 1991, J. Robotics Mechatronics.

Geometric Accuracy Control of Very Large Floating Structures Considering Welding Distortion

Yasuo Yamashita, Koichi Okamoto, Yoshitaka Kinoshita, 2007 .

Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease

Yasuo Yamashita, Hidetaka Arimura, Chiaki Tokunaga, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The Development of the Financial Learning Tool through Business Game

Takao Terano, Hiroshi Takahashi, Yasuo Yamashita, 2008, KES.

Computerized classification of patients with alzheimer's disease based on arterial spin-labeled perfusion MRI

Yasuo Yamashita, Hidetaka Arimura, Taiki Magome, 2010, 2010 World Automation Congress.

The Possibility for the Active Use of Smart Devices in University Education

Yasuo Yamashita, Nasen Chen, 2017, 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Learning a selection problem of investment projects and capital structure through business game

Takao Terano, Hiroshi Takahashi, Yasuo Yamashita, 2010, Intell. Decis. Technol..

Automated measurement of three-dimensional cerebral cortical thickness in Alzheimer’s patients using localized gradient vector trajectory in fuzzy membership maps

Hiroshi Honda, Yasuo Yamashita, Hidetaka Arimura, 2013 .

Computer-aided detection of ischemic lesions related to subcortical vascular dementia on magnetic resonance images.

Yasuo Yamashita, Hidetaka Arimura, Kazuhiro Tsuchiya, 2008, Academic radiology.

Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images

Yasuo Yamashita, Yasuo Kawata, Hidetaka Arimura, 2011, Radiological physics and technology.

Automated detection of multiple sclerosis candidate regions in MR images: false-positive removal with use of an ANN-controlled level-set method

Yasuo Yamashita, Hidetaka Arimura, Taiki Magome, 2011, Radiological Physics and Technology.

Automated method for segmentation of white matter and gray matter regions with multiple sclerosis in 3T MR images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

Yasuo Yamashita, Yasuo Kawata, Hidetaka Arimura, 2009 .