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Hisaichi Shibata

Showing results (1-10 of 7) with videos related to

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Plos One|February 22, 2019
Extended-Kalman-filter-based dynamic mode decomposition for simultaneous system identification and denoisingTaku Nonomura, Hisaichi Shibata, Ryoji Takaki
Tomography (Ann Arbor, Mich.)|September 22, 2022
On the Simulation of Ultra-Sparse-View and Ultra-Low-Dose Computed Tomography with Maximum a Posteriori Reconstruction Using a Progressive Flow-Based Deep Generative ModelHisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, et al.
International Journal of Computer Assisted Radiology and Surgery|August 25, 2021
Versatile anomaly detection method for medical images with semi-supervised flow-based generative modelsHisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, et al.
Radiological Physics and Technology|November 2, 2023
Development and evaluation of an integrated liver nodule diagnostic method by combining the liver segment division and lesion localization/classification models for enhanced focal liver lesion detectionTomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, et al.
International Journal of Computer Assisted Radiology and Surgery|June 2, 2021
Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRITomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, et al.
International Journal of Computer Assisted Radiology and Surgery|October 15, 2021
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learningYukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, et al.
Plos One|December 12, 2024
Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodulesShouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Plos One|February 22, 2019
Extended-Kalman-filter-based dynamic mode decomposition for simultaneous system identification and denoisingTaku Nonomura, Hisaichi Shibata, Ryoji Takaki
Tomography (Ann Arbor, Mich.)|September 22, 2022
On the Simulation of Ultra-Sparse-View and Ultra-Low-Dose Computed Tomography with Maximum a Posteriori Reconstruction Using a Progressive Flow-Based Deep Generative ModelHisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, et al.
International Journal of Computer Assisted Radiology and Surgery|August 25, 2021
Versatile anomaly detection method for medical images with semi-supervised flow-based generative modelsHisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, et al.
Radiological Physics and Technology|November 2, 2023
Development and evaluation of an integrated liver nodule diagnostic method by combining the liver segment division and lesion localization/classification models for enhanced focal liver lesion detectionTomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, et al.
International Journal of Computer Assisted Radiology and Surgery|June 2, 2021
Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRITomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, et al.
International Journal of Computer Assisted Radiology and Surgery|October 15, 2021
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learningYukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, et al.
Plos One|December 12, 2024
Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodulesShouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, et al.
Pageof 1