M. Tateishi

发表

Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers

M. Kitajima, H. Uetani, Y. Yamashita, 2019, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

Lateral Asymmetry and Spatial Difference of Iron Deposition in the Substantia Nigra of Patients with Parkinson Disease Measured with Quantitative Susceptibility Mapping

Y Wang, Y Ando, T. Hirai, 2016, American Journal of Neuroradiology.

Evaluation of Intracranial Vasculatures in Healthy Subjects with Arterial-Spin-Labeling-Based 4D-MR Angiography at 3T

T. Hirai, M. Kitajima, Y. Yamashita, 2015, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

A preliminary study of deep learning-based reconstruction specialized for denoising in high-frequency domain: usefulness in high-resolution three-dimensional magnetic resonance cisternography of the cerebellopontine angle

M. Kitajima, H. Uetani, Y. Yamashita, 2020, Neuroradiology.

Visualization of the Medial and Lateral Geniculate Nucleus on Phase Difference Enhanced Imaging

T. Hirai, M. Kitajima, M. Komi, 2015, American Journal of Neuroradiology.

Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.

T. Hirai, K. Makino, Hideo Nakamura, 2018, European journal of radiology.

Perfusion abnormality on three-dimensional arterial spin labeling with a 3T MR system in pediatric and adolescent patients with migraine

M. Kitajima, H. Uetani, Y. Yamashita, 2018, Journal of the Neurological Sciences.

abdominal–pelvic CT in patients at risk of contrast- induced nephropathy referred for oncological assessment: effects on radiation dose, image quality and renal function

Y. Yamashita, T. Nakaura, Morikatsu Yoshida, 2018 .

Hybrid deep-learning-based denoising method for compressed sensing in pituitary MRI: comparison with the conventional wavelet-based denoising method

T. Hirai, M. Kitajima, H. Uetani, 2022, European Radiology.

Benefit of 3T Diffusion-weighted Imaging in Comparison to Contrast-enhanced MR Imaging for the Evaluation of Disseminated Lesions in Primary Malignant Brain Tumors

T. Hirai, K. Makino, Hideo Nakamura, 2016, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

Perfusion abnormality on three-dimensional arterial spin labeling in patients with acute encephalopathy with biphasic seizures and late reduced diffusion

M. Kitajima, H. Uetani, Y. Yamashita, 2019, Journal of the Neurological Sciences.

An initial experience of machine learning based on multi-sequence texture parameters in magnetic resonance imaging to differentiate glioblastoma from brain metastases

M. Kitajima, H. Uetani, Y. Yamashita, 2019, Journal of the Neurological Sciences.

Application of 80-kVp scan and raw data-based iterative reconstruction for reduced iodine load abdominal-pelvic CT in patients at risk of contrast-induced nephropathy referred for oncological assessment: effects on radiation dose, image quality and renal function.

Y. Yamashita, S. Oda, T. Nakaura, 2018, The British journal of radiology.

Differentiating between Alzheimer Disease Patients and Controls with Phase-difference-enhanced Imaging at 3T: A Feasibility Study

T. Hirai, M. Kitajima, H. Uetani, 2018, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.