Yu Nishiyama

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 27

Top Topics

Evaluation Function

Convolutional Neural Network

Ultrasound Images

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Koudai Okuzaki, Norihiro Koizumi, Kiyoshi Yoshinaka, Yu Nishiyama, Jiayi Zhou, Ryosuke Tsumura
Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography. Int. J. Comput. Assist. Radiol. Surg. 19 (3) (2024)
Takumi Fujibayashi, Norihiro Koizumi, Yu Nishiyama, Yusuke Watanabe, Jiayi Zhou, Momoko Matsuyama, Miyu Yamada, Ryosuke Tsumura, Kiyoshi Yoshinaka, Naoki Matsumoto, Hiroyuki Tsukihara, Kazushi Numata
Study on method of organ section retention and tracking through deep learning in automated diagnostic and therapeutic robotics. Int. J. Comput. Assist. Radiol. Surg. 18 (11) (2023)
Takumi Fujibayashi, Norihiro Koizumi, Yu Nishiyama, Jiayi Zhou, Hiroyuki Tsukihara, Kiyoshi Yoshinaka, Ryosuke Tsumura
Image Search Strategy via Visual Servoing for Robotic Kidney Ultrasound Imaging. J. Robotics Mechatronics 35 (5) (2023)
Jiayi Zhou, Norihiro Koizumi, Yu Nishiyama, Kiminao Kogiso, Tomohiro Ishikawa, Kento Kobayashi, Yusuke Watanabe, Takumi Fujibayashi, Miyu Yamada, Momoko Matsuyama, Hiroyuki Tsukihara, Ryosuke Tsumura, Kiyoshi Yoshinaka, Naoki Matsumoto, Masahiro Ogawa, Hideyo Miyazaki, Kazushi Numata, Hidetoshi Nagaoka, Toshiyuki Iwai, Hideyuki Iijima
A VS ultrasound diagnostic system with kidney image evaluation functions. Int. J. Comput. Assist. Radiol. Surg. 18 (2) (2023)
Momoko Matsuyama, Norihiro Koizumi, Yu Nishiyama, Ryosuke Tsumura, Hiroyuki Tsukihara, Kazushi Numata
An avoiding overlap method between acoustic shadow and organ for automated ultrasound diagnosis and treatment. GCCE (2022)
Takumi Fujibayashi, Norihiro Koizumi, Yu Nishiyama, Ryosuke Tsumura, Kiyoshi Yoshinaka, Hiroyuki Tsukihara
A study on the same cross-sectional tracking method using AEMADP++ based on YOLACT++ for automated diagnostic and therapeutic robots. GCCE (2022)
Jiayi Zhou, Norihiro Koizumi, Yu Nishiyama, Ryosuke Tsumura, Hiroyuki Tsukihara, Naoki Matsumoto
Development of a VS ultrasound diagnostic system with image evaluation functions. GCCE (2022)
Miyu Yamada, Ryosuke Tsumura, Norihiro Koizumi, Kiyoshi Yoshinaka, Yu Nishiyama, Naoki Matsumoto
An automatic judgment method of swelling or atrophy of organs for ultrasound diagnosis. GCCE (2022)
Momoko Matsuyama, Norihiro Koizumi, Akihide Otsuka, Kento Kobayashi, Shiho Yagasaki, Yusuke Watanabe, Jiayi Zhou, Yu Nishiyama, Naoki Matsumoto, Hiroyuki Tsukihara, Kazushi Numata
A novel complementation method of an acoustic shadow region utilizing a convolutional neural network for ultrasound-guided therapy. Int. J. Comput. Assist. Radiol. Surg. 17 (1) (2022)
Ryosuke Saito, Norihiro Koizumi, Yu Nishiyama, Tsubasa Imaizumi, Kenta Kusahara, Shiho Yagasaki, Naoki Matsumoto, Ryota Masuzaki, Toshimi Takahashi, Masahiro Ogawa
Evaluation of ultrasonic fibrosis diagnostic system using convolutional network for ordinal regression. Int. J. Comput. Assist. Radiol. Surg. 16 (11) (2021)
Shiho Yagasaki, Norihiro Koizumi, Yu Nishiyama, Ryosuke Kondo, Tsubasa Imaizumi, Naoki Matsumoto, Masahiro Ogawa, Kazushi Numata
Estimating 3-dimensional liver motion using deep learning and 2-dimensional ultrasound images. Int. J. Comput. Assist. Radiol. Surg. 15 (12) (2020)
Yu Nishiyama, Motonobu Kanagawa, Arthur Gretton, Kenji Fukumizu
Model-based kernel sum rule: kernel Bayesian inference with probabilistic models. Mach. Learn. 109 (5) (2020)
Kento Kobayashi, Yudai Sasaki, Fumio Eura, Ryosuke Kondo, Kyohei Tomita, Takahiro Kobayashi, Yusuke Watanabe, Akihide Otsuka, Hiroyuki Tsukihara, Naoki Matsumoto, Kazushi Numata, Hidetoshi Nagaoka, Toshiyuki Iwai, Hideyuki Iijima, Yu Nishiyama, Norihiro Koizumi
Development of bed-type ultrasound diagnosis and therapeutic robot. CBS (2019)
Tsubasa Imaizumi, Ryosuke Kondo, Kenta Kusahara, Yu Nishiyama, Hiroyuki Tsukihara, Naoki Matsumoto, Kazushi Numata, Norihiro Koizumi
Deep learning based 3-dimensional liver motion estimation using 2-dimensional ultrasound images. CBS (2019)
Riki Igarashi, Kyohei Tomita, Yu Nishiyama, Yuka Shigenari, Norihiro Koizumi
Lesion tracking method using CNN for non-invasive ultrasound theranostic system. CBS (2019)
Tsubasa Imaizumi, Norihiro Koizumi, Ryosuke Kondo, Yu Nishiyama, Naoki Matsumoto
Automatic fascia extraction and classification for measurement of muscle layer thickness. UR (2018)
Akihide Otsuka, Norihiro Koizumi, Izumu Hosoi, Hiroyuki Tsukihara, Yu Nishiyama
Method for Extracting Acoustic Shadows to Construct an Organ Composite Model in Ultrasound Images. UR (2018)
Shunsuke Tsuzuki, Yu Nishiyama
Short-Term Wind-Speed Forecasting Using Kernel Spectral Hidden Markov Models. CoRR (2018)
Ryosuke Kondo, Norihiro Koizumi, Yu Nishiyama, Naoki Matsumoto, Kazushi Numata
Out-of-Plane Motion Detection System Using Convolutional Neural Network for US-guided Radiofrequency Ablation Therapy. UR (2018)
Kyohei Tomita, Norihiro Koizumi, Atsushi Kayasuga, Yu Nishiyama, Hiroyuki Tsukihara, Hideyo Miyazaki, Kiyoshi Yoshinaka, Mamoru Mitsuishi
A study for tracking focal lesions in non-invasive ultrasound theragnostic system. URAI (2017)
Fumio Eura, Rika Aizawa, Ryosuke Kondo, Kyohei Tomita, Yu Nishiyama, Norihiro Koizumi
Development of portable ultrasound guided physiological motion compensation device. CBS (2017)
Takahiro Ishikawa, Yu Nishiyama, Kiminao Kogiso
Parameter extraction for identifying product type of mckibben pneumatic artificial muscles. CCTA (2017)
Ryosuke Kondo, Norihiro Koizumi, Kyohei Tomita, Yu Nishiyama, Hidenori Sakanashi, Hiroyuki Fukuda, Hiroyuki Tsukihara, Kazushi Numata, Mamoru Mitusishi, Yoichiro Matsumoto
An automatic templates selection method for ultrasound guided tumor tracking. URAI (2017)
Atsushi Okabe, Takahiro Ishikawa, Kiminao Kogiso, Yu Nishiyama
Efficient PSO-based algorithm for parameter estimation of McKibben PAM model. CCTA (2017)
Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, Kenji Fukumizu
Filtering with State-Observation Examples via Kernel Monte Carlo Filter. Neural Comput. 28 (2) (2016)
Yu Nishiyama, Kenji Fukumizu
Characteristic Kernels and Infinitely Divisible Distributions. J. Mach. Learn. Res. 17 (2016)
Yu Nishiyama, Amir Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song
The Nonparametric Kernel Bayes Smoother. AISTATS (2016)
Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano, Maomi Ueno
Constraint-Based Learning Bayesian Networks Using Bayes Factor. AMBN@JSAI-isAI (2015)
Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, Kenji Fukumizu
Monte Carlo Filtering Using Kernel Embedding of Distributions. AAAI (2014)
Yu Nishiyama, Xingyao Ye, Alan L. Yuille
A Family of CCCP Algorithms Which Minimize the TRW Free Energy. New Gener. Comput. 30 (1) (2012)
Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu
Hilbert Space Embeddings of POMDPs CoRR (2012)
Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu
Hilbert Space Embeddings of POMDPs. UAI (2012)
Yu Nishiyama, Sumio Watanabe
Accuracy of Loopy belief propagation in Gaussian models. Neural Networks 22 (4) (2009)
Yu Nishiyama, Sumio Watanabe
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy. ICANN (1) (2008)
Yu Nishiyama, Sumio Watanabe
On the Minima of Bethe Free Energy in Gaussian Distributions. ICAISC (2008)
Yu Nishiyama, Sumio Watanabe
Theoretical Analysis of Accuracy of Gaussian Belief Propagation. ICANN (1) (2007)
Yu Nishiyama, Sumio Watanabe
Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines. ICONIP (1) (2006)