Yuka Yashima

Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging

Tomoyuki Fujioka, Yuka Yashima, Jun Oyama et al. · Magnetic Resonance Imaging · 2020 · 48 citations

Convolutional Neural Network, Image Analysis, Engineering +13

Analysis of sialo-N-glycans in glycoproteins as 1-phenyl-3-methyl-5-pyrazolone derivatives by capillary electrophoresis

Shigeo Suzuki, Rika Tanaka, K Takada et al. · Journal of Chromatography A · 2001 · 44 citations

Capillary Electrophoresis, 1-Phenyl-3-methyl-5-pyrazolone Derivatives, Biochemistry +7

Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography

Jo Ozaki, Tomoyuki Fujioka, Emi Yamaga et al. · Japanese Journal of Radiology · 2022 · 35 citations

Convolutional Neural Network, Image Analysis, Machine Learning +15

Deep Learning Using Multiple Degrees of Maximum-Intensity Projection for PET/CT Image Classification in Breast Cancer

Kanae Takahashi, Tomoyuki Fujioka, Jun Oyama et al. · Tomography · 2022 · 30 citations · Full text

Irradiation effects of low temperature multi gas plasma jet on oral bacteria

Tahsin Raquib Abonti, Masato Kaku, Shunichi Kojima et al. · Dental Materials Journal · 2016 · 25 citations · Full text