Jun Oyama

New control strategy for matrix converter

Jun Oyama, T. Higuchi, Emi Yamada et al. · 2003 · 157 citations

Electrical Engineering, Control Strategy, Engineering +9

Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based Assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images

Mio Adachi, Tomoyuki Fujioka, M. Mori et al. · Diagnostics · 2020 · 62 citations · Full text

The principle and fundamental characteristics of half-wave rectified brushless synchronous motor.

Jun Oyama, Syunsuke Toba, Tsuyoshi Higuchi et al. · IEEJ Transactions on Industry Applications · 1987 · 52 citations · Full text

Motor Drive, Electric Machine, Fundamental Characteristics

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

Displacement angle control of matrix converter

Jun Oyama, Xiarong Xia, T. Higuchi et al. · 2002 · 41 citations

Engineering, Switching Sequence, Matrix Converter +11