Capabilities of a four-layered feedforward neural network: four layers versus three

Shinichi Tamura, Machiko Tateishi

IEEE Transactions on Neural Networks

Artificial IntelligenceCognitive ScienceEngineeringMachine LearningData Science +13

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

Masafumi Kidoh, Kensuke Shinoda, Mika Kitajima, +8

Magnetic Resonance in Medical Sciences

EngineeringMedical ImagingMedical Image ComputingBiomedical ImagingBrain Mr Images +13

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

Minako Azuma, Toshinori Hirai, Kei Yamada, +8

American Journal of Neuroradiology

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

Masataka Nakagawa, Takeshi Nakaura, Tomohiro Namimoto, +10

European Journal of Radiology

Neuro-oncologyEngineeringMachine LearningMedical ImagingGlioma +11

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

Hiroyuki Uetani, Takeshi Nakaura, Mika Kitajima, +8

Neuroradiology

Image ReconstructionEngineeringMedical ImagingDeep LearningComputational Neuroscience +13

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

Machiko Tateishi, Takeshi Nakaura, Mika Kitajima, +6

Journal of the Neurological Sciences

EngineeringMachine LearningGliomaDiagnostic ImagingMagnetic Resonance Imaging +14

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

Hiroyuki Uetani, Mika Kitajima, Takeshi Sugahara, +6

Journal of the Neurological Sciences

Mr SystemPerfusion AbnormalityMedicineNeuroimagingNeurology +6

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

Hiroyuki Uetani, Takeshi Nakaura, Mika Kitajima, +11

European Radiology

Pituitary MriSparse RepresentationSparse ImagingEngineeringMedical Imaging +10

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

Yasunori Nagayama, Shota Tanoue, Akinori Tsuji, +10

British Journal of Radiology

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

Mika Kitajima, Toshinori Hirai, Tetsuya Yoneda, +6

American Journal of Neuroradiology