Y. Yamashita

发表

Performance Evaluation of Radiologists with Artificial Neural Network for Differential Diagnosis of Intra-Axial Cerebral Tumors on MR Images

K. Yamashita, T. Yoshiura, H. Arimura, 2008, American Journal of Neuroradiology.

Influences of reconstruction and attenuation correction in brain SPECT images obtained by the hybrid SPECT/CT device: evaluation with a 3-dimensional brain phantom

Yuji Tsutsui, G. Akamatsu, M. Sasaki, 2014, Asia Oceania journal of nuclear medicine & biology.

Visualization of cerebrospinal fluid dynamics using multi‐spin echo acquisition cine imaging (MUSACI)

O. Togao, Y. Yamashita, H. Honda, 2018, Magnetic resonance in medicine.

An Anthropomorphic Phantom Study of Brain Dopamine Transporter SPECT Images Obtained Using Different SPECT/CT Devices and Collimators

Akira Maebatake, S. Baba, M. Sasaki, 2015, The Journal of Nuclear Medicine Technology.

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

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

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 .

A deep learning-based approach for the diagnosis of adrenal adenoma: A new trial using CT.

Y. Yamashita, A. Nishie, Y. Oda, 2022, The British journal of radiology.

The application of a gamma distribution model to diffusion-weighted images of the orofacial region.

O. Togao, Y. Yamashita, K. Tokumori, 2020, Dento maxillo facial radiology.

Optimization of 4D-MR angiography based on superselective pseudo-continuous arterial spin labeling combined with CENTRA-keyhole and view-sharing (4D-S-PACK) for vessel-selective visualization of the internal carotid artery and vertebrobasilar artery systems.

O. Togao, Y. Yamashita, M. Obara, 2021, Magnetic resonance imaging.

Fuzzy-based segmentation of brain parenchymal regions with alzheimer's disease into cerebral cortex and white matter in 3.0-T magnetic resonance images

T. Yoshiura, H. Arimura, Y. Yamashita, 2010, 2010 World Automation Congress.

Predicting TERT promoter mutation using MR images in patients with wild-type IDH1 glioblastoma.

K. Yamashita, A. Hiwatashi, O. Togao, 2019, Diagnostic and Interventional Imaging.

Monte Carlo simulation of PET and SPECT imaging of 90Y.

S. Baba, M. Sasaki, Y. Yamashita, 2015, Medical physics.

Evaluation of Iterative Reconstruction Method and Attenuation Correction in Brain Dopamine Transporter SPECT Using an Anthropomorphic Striatal Phantom

Akira Maebatake, K. Miwa, S. Baba, 2016, Asia Oceania journal of nuclear medicine & biology.

Estimation of proton density fat fraction of the salivary gland.

Y. Yamashita, K. Yoshiura, K. Okamura, 2018, The British journal of radiology.

Clinical usefulness of the mDIXON Quant the method for estimation of the salivary gland fat fraction: comparison with MR spectroscopy.

Y. Yamashita, K. Yoshiura, Koji Kobayashi, 2017, The British journal of radiology.

Assessment of cerebral perfusion in moyamoya disease with dynamic pseudo-continuous arterial spin labeling using a variable repetition time scheme with optimized background suppression

S. Baba, K. Yamashita, O. Togao, 2022, Neuroradiology.

The reproducibility of measurements using a standardization phantom for the evaluation of fractional anisotropy (FA) derived from diffusion tensor imaging (DTI)

Y. Yamashita, H. Yabuuchi, T. Kamitani, 2019, Magnetic Resonance Materials in Physics, Biology and Medicine.

Reproducibility of our standardization phantom for evaluation of fractional anisotropy (FA) derived from diffusion tensor imaging (DTI)

Y. Yamashita, H. Honda, H. Yabuuchi, 2017 .

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.

Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study

Y. Yamashita, K. Mimori, A. Nishie, 2021, PloS one.

Glycosaminoglycan chemical exchange saturation transfer in human lumbar intervertebral discs: Effect of saturation pulse and relationship with low back pain

O. Togao, Y. Yamashita, H. Honda, 2017, Journal of magnetic resonance imaging : JMRI.

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 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..

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..

Comparison of TOF-PET and Bremsstrahlung SPECT Images of Yttrium-90: A Monte Carlo Simulation Study

S. Baba, M. Sasaki, Y. Yamashita, 2018, Asia Oceania journal of nuclear medicine & biology.

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).

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 .

Magnetic Resonance Image Analysis for Brain CAD Systems with Machine Learning

Yasuo Yamashita, Hidetaka Arimura, Chiaki Tokunaga, 2012 .

Analysis of the influence of 111In on 90Y-bremsstrahlung SPECT based on Monte Carlo simulation

S. Baba, M. Sasaki, Y. Yamashita, 2016, Annals of Nuclear Medicine.

Image Quality and ADC Assessment in Turbo Spin-Echo and Echo-Planar Diffusion-Weighted MR Imaging of Tumors of the Head and Neck.

Y. Yamashita, K. Yoshiura, T. Kamitani, 2019, Academic radiology.

Utility of a diffusion kurtosis model in the differential diagnosis of orofacial tumours.

O. Togao, Y. Yamashita, K. Tokumori, 2020, Clinical radiology.

Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging

Y. Yamashita, H. Yabuuchi, T. Kamitani, 2020, Magnetic Resonance Materials in Physics, Biology and Medicine.

Effect of Saturation Pulse Duration and Power on pH-weighted Amide Proton Transfer Imaging: A Phantom Study

O. Togao, Y. Yamashita, T. Wada, 2022, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.