Showing results 1 to 7 of 7
A k-space-to-image reconstruction network for MRI using recurrent neural network Oh, Changheun; Kim, Dongchan; Chung, Jun-Young; Han, Yeji; Park, HyunWook, Medical Physics, v.48, no.1, pp.193 - 203, 2021-01 |
Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis Kim, Dae Hoe; Kim, Seong Tae; Chang, Jung Min; Ro, Yong Man, PHYSICS IN MEDICINE AND BIOLOGY, v.62, no.3, pp.1009 - 1031, 2017-02 |
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya; Sugano, Shigeki; Tani, Jun, ADVANCED ROBOTICS, v.28, no.17, pp.1189 - 1203, 2014-10 |
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring Murata, Shingo; Namikawa, Jun; Arie, Hiroaki; Sugano, Shigeki; Tani, Jun, IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, v.5, no.4, pp.298 - 310, 2013-12 |
Optical Proximity Correction Using Bidirectional Recurrent Neural Network With Attention Mechanism Kwon, Yonghwi; Shin, Youngsoo, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.34, no.2, pp.168 - 176, 2021-05 |
Sensor Data Prediction in Missile Flight Tests Ryu, Sang-Gyu; Jeong, Jae Jin; Shim, David Hyunchul, SENSORS, v.22, no.23, 2022-12 |
Tool-Body Assimilation of Humanoid Robot Using a Neurodynamical System Nishide, Shun; Tani, Jun; Takahashi, Toru; Okuno, Hiroshi G.; Ogata, Tetsuya, IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, v.4, no.2, pp.139 - 149, 2012-06 |
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