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Hayaru Shouno

Showing results (1-10 of 8) with videos related to

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Journal of Magnetic Resonance Imaging : JMRI|June 27, 2023
Editorial for "A Lightweight Convolutional Neural Network Based on Dynamic Level-Set Loss Function for Spine MR Image Segmentation"Hayaru Shouno, Tomohisa Okada
International Journal of Biomedical Imaging|November 25, 2011
A bayesian hyperparameter inference for radon-transformed image reconstructionHayaru Shouno, Madomi Yamasaki, Masato Okada
Neural Networks : the Official Journal of the International Neural Network Society|September 29, 2023
Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statisticsYusuke Hamano, Shoko Nagasaka, Hayaru Shouno
Sensors (Basel, Switzerland)|August 28, 2025
LLaVA-Pose: Keypoint-Integrated Instruction Tuning for Human Pose and Action UnderstandingDewen Zhang, Tahir Hussain, Wangpeng An, et al.
Neural Computation|August 5, 2017
Simultaneous Estimation of Nongaussian Components and Their Correlation StructureHiroaki Sasaki, Michael U Gutmann, Hayaru Shouno, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 25, 2023
Distorted image classification using neural activation pattern matching lossSatoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, et al.
The Review of Scientific Instruments|May 8, 2026
Development of ultra-high efficiency soft x-ray angle-resolved photoemission spectroscopy equipped with deep prior-based denoising methodKohei Yamagami, Yuichi Yokoyama, Yuta Sumiya, et al.
Science and Technology of Advanced Materials|September 17, 2020
Development of spectral decomposition based on Bayesian information criterion with estimation of confidence intervalHiroshi Shinotsuka, Kenji Nagata, Hideki Yoshikawa, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Magnetic Resonance Imaging : JMRI|June 27, 2023
Editorial for "A Lightweight Convolutional Neural Network Based on Dynamic Level-Set Loss Function for Spine MR Image Segmentation"Hayaru Shouno, Tomohisa Okada
International Journal of Biomedical Imaging|November 25, 2011
A bayesian hyperparameter inference for radon-transformed image reconstructionHayaru Shouno, Madomi Yamasaki, Masato Okada
Neural Networks : the Official Journal of the International Neural Network Society|September 29, 2023
Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statisticsYusuke Hamano, Shoko Nagasaka, Hayaru Shouno
Sensors (Basel, Switzerland)|August 28, 2025
LLaVA-Pose: Keypoint-Integrated Instruction Tuning for Human Pose and Action UnderstandingDewen Zhang, Tahir Hussain, Wangpeng An, et al.
Neural Computation|August 5, 2017
Simultaneous Estimation of Nongaussian Components and Their Correlation StructureHiroaki Sasaki, Michael U Gutmann, Hayaru Shouno, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 25, 2023
Distorted image classification using neural activation pattern matching lossSatoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, et al.
The Review of Scientific Instruments|May 8, 2026
Development of ultra-high efficiency soft x-ray angle-resolved photoemission spectroscopy equipped with deep prior-based denoising methodKohei Yamagami, Yuichi Yokoyama, Yuta Sumiya, et al.
Science and Technology of Advanced Materials|September 17, 2020
Development of spectral decomposition based on Bayesian information criterion with estimation of confidence intervalHiroshi Shinotsuka, Kenji Nagata, Hideki Yoshikawa, et al.
Pageof 1