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Akiyoshi Hizukuri

Showing results (1-10 of 13) with videos related to

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Journal of Imaging Informatics in Medicine|June 22, 2026
Computerized Classification Method for Glioma Molecular Subtypes on Brain MR Images Using SAM-Med3D with Low-Rank AdaptationAkiyoshi Hizukuri
Diagnostics (Basel, Switzerland)|July 26, 2018
Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural NetworkAkiyoshi Hizukuri, Ryohei Nakayama
Radiological Physics and Technology|May 4, 2022
Tooth detection for each tooth type by application of faster R-CNNs to divided analysis areas of dental panoramic X-ray imagesYuichi Mima, Ryohei Nakayama, Akiyoshi Hizukuri, et al.
Journal of Imaging Informatics in Medicine|March 5, 2024
Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase ConvolutionAkiyoshi Hizukuri, Ryohei Nakayama, Mariko Goto, et al.
Radiological Physics and Technology|October 26, 2024
Anomaly detection scheme for lung CT images using vector quantized variational auto-encoder with support vector data descriptionZhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, et al.
Journal of Digital Imaging|November 7, 2020
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian OptimizationAkiyoshi Hizukuri, Ryohei Nakayama, Mayumi Nara, et al.
Radiological Physics and Technology|January 5, 2021
Segmentation of teeth in panoramic dental X-ray images using U-Net with a loss function weighted on the tooth edgeYuya Nishitani, Ryohei Nakayama, Daisei Hayashi, et al.
Journal of Digital Imaging|July 5, 2011
Computer-aided detection scheme for sentinel lymph nodes in lymphoscintigrams using symmetrical property around mapped injection pointRyohei Nakayama, Akiyoshi Hizukuri, Koji Yamamoto, et al.
Radiological Physics and Technology|December 31, 2024
Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanismsTakuma Shiomi, Ryohei Nakayama, Akiyoshi Hizukuri, et al.
Journal of Digital Imaging|August 28, 2019
Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural NetworkHiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Imaging Informatics in Medicine|June 22, 2026
Computerized Classification Method for Glioma Molecular Subtypes on Brain MR Images Using SAM-Med3D with Low-Rank AdaptationAkiyoshi Hizukuri
Diagnostics (Basel, Switzerland)|July 26, 2018
Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural NetworkAkiyoshi Hizukuri, Ryohei Nakayama
Radiological Physics and Technology|May 4, 2022
Tooth detection for each tooth type by application of faster R-CNNs to divided analysis areas of dental panoramic X-ray imagesYuichi Mima, Ryohei Nakayama, Akiyoshi Hizukuri, et al.
Journal of Imaging Informatics in Medicine|March 5, 2024
Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase ConvolutionAkiyoshi Hizukuri, Ryohei Nakayama, Mariko Goto, et al.
Radiological Physics and Technology|October 26, 2024
Anomaly detection scheme for lung CT images using vector quantized variational auto-encoder with support vector data descriptionZhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, et al.
Journal of Digital Imaging|November 7, 2020
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian OptimizationAkiyoshi Hizukuri, Ryohei Nakayama, Mayumi Nara, et al.
Radiological Physics and Technology|January 5, 2021
Segmentation of teeth in panoramic dental X-ray images using U-Net with a loss function weighted on the tooth edgeYuya Nishitani, Ryohei Nakayama, Daisei Hayashi, et al.
Journal of Digital Imaging|July 5, 2011
Computer-aided detection scheme for sentinel lymph nodes in lymphoscintigrams using symmetrical property around mapped injection pointRyohei Nakayama, Akiyoshi Hizukuri, Koji Yamamoto, et al.
Radiological Physics and Technology|December 31, 2024
Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanismsTakuma Shiomi, Ryohei Nakayama, Akiyoshi Hizukuri, et al.
Journal of Digital Imaging|August 28, 2019
Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural NetworkHiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, et al.
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