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Kaori Shiraishi

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Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|January 25, 2023
Update on the Use of Artificial Intelligence in Hepatobiliary MR ImagingTakeshi Nakaura, Naoki Kobayashi, Naofumi Yoshida, et al.
Journal of Computer Assisted Tomography|August 2, 2023
The Feasibility of Using a Deep Learning-Based Model to Determine Cardiac Computed Tomographic Contrast DoseNaoki Kobayashi, Takanori Masuda, Takeshi Nakaura, et al.
Kekkaku : [Tuberculosis]|July 23, 2003
[A case of hemophagocytic syndrome associated with miliary tuberculosis]Rei Fujiki, Kaori Shiraishi, Kazuhito Noda, et al.
Circulation Reports|May 12, 2025
Use of Electron Density Maps and Fused Images in Dual-Energy Cardiac Computed Tomography to Facilitate Detection of Late Iodine EnhancementJunji Mochizuki, Yoshiki Hata, Takeshi Nakaura, et al.
Japanese Journal of Radiology|September 15, 2023
Preliminary assessment of automated radiology report generation with generative pre-trained transformers: comparing results to radiologist-generated reportsTakeshi Nakaura, Naofumi Yoshida, Naoki Kobayashi, et al.
Journal of Computer Assisted Tomography|March 21, 2023
Combination Use of Compressed Sensing and Deep Learning for Shoulder Magnetic Resonance Imaging With Various SequencesKaori Shiraishi, Takeshi Nakaura, Hiroyuki Uetani, et al.
Academic Radiology|May 18, 2025
Evaluating the Performance of Reasoning Large Language Models on Japanese Radiology Board Examination QuestionsTakeshi Nakaura, Hiroto Takamure, Naoki Kobayashi, et al.
Journal of Computer Assisted Tomography|November 4, 2025
Large Language Model Cost and Performance: A Comprehensive Analysis in the Context of the Japan Radiology Board ExaminationTakeshi Nakaura, Naoki Kobayashi, Kaori Shiraishi, et al.
European Radiology|May 13, 2023
Deep learning-based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition timeKaori Shiraishi, Takeshi Nakaura, Hiroyuki Uetani, et al.
Magnetic Resonance Imaging|December 12, 2024
Enhancing thin slice 3D T2-weighted prostate MRI with super-resolution deep learning reconstruction: Impact on image quality and PI-RADS assessmentKaori Shiraishi, Takeshi Nakaura, Naoki Kobayashi, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|January 25, 2023
Update on the Use of Artificial Intelligence in Hepatobiliary MR ImagingTakeshi Nakaura, Naoki Kobayashi, Naofumi Yoshida, et al.
Journal of Computer Assisted Tomography|August 2, 2023
The Feasibility of Using a Deep Learning-Based Model to Determine Cardiac Computed Tomographic Contrast DoseNaoki Kobayashi, Takanori Masuda, Takeshi Nakaura, et al.
Kekkaku : [Tuberculosis]|July 23, 2003
[A case of hemophagocytic syndrome associated with miliary tuberculosis]Rei Fujiki, Kaori Shiraishi, Kazuhito Noda, et al.
Circulation Reports|May 12, 2025
Use of Electron Density Maps and Fused Images in Dual-Energy Cardiac Computed Tomography to Facilitate Detection of Late Iodine EnhancementJunji Mochizuki, Yoshiki Hata, Takeshi Nakaura, et al.
Japanese Journal of Radiology|September 15, 2023
Preliminary assessment of automated radiology report generation with generative pre-trained transformers: comparing results to radiologist-generated reportsTakeshi Nakaura, Naofumi Yoshida, Naoki Kobayashi, et al.
Journal of Computer Assisted Tomography|March 21, 2023
Combination Use of Compressed Sensing and Deep Learning for Shoulder Magnetic Resonance Imaging With Various SequencesKaori Shiraishi, Takeshi Nakaura, Hiroyuki Uetani, et al.
Academic Radiology|May 18, 2025
Evaluating the Performance of Reasoning Large Language Models on Japanese Radiology Board Examination QuestionsTakeshi Nakaura, Hiroto Takamure, Naoki Kobayashi, et al.
Journal of Computer Assisted Tomography|November 4, 2025
Large Language Model Cost and Performance: A Comprehensive Analysis in the Context of the Japan Radiology Board ExaminationTakeshi Nakaura, Naoki Kobayashi, Kaori Shiraishi, et al.
European Radiology|May 13, 2023
Deep learning-based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition timeKaori Shiraishi, Takeshi Nakaura, Hiroyuki Uetani, et al.
Magnetic Resonance Imaging|December 12, 2024
Enhancing thin slice 3D T2-weighted prostate MRI with super-resolution deep learning reconstruction: Impact on image quality and PI-RADS assessmentKaori Shiraishi, Takeshi Nakaura, Naoki Kobayashi, et al.
Pageof 2