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Jihun Kwon

Showing results (11-20 of 21) with videos related to

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Japanese Journal of Radiology|March 4, 2025
Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imagingNoriyuki Fujima, Yukie Shimizu, Yohei Ikebe, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|June 1, 2025
The Impact of Model-based Deep-learning Reconstruction Compared with that of Compressed Sensing-Sensitivity Encoding on the Image Quality and Precision of Cine Cardiac MR in Evaluating Left-ventricular Volume and Strain: A Study on Healthy VolunteersSatonori Tsuneta, Satoru Aono, Rina Kimura, et al.
Skeletal Radiology|June 16, 2025
Evaluation of lumbar intervertebral disc degeneration using <sup>23</sup>Na-MRI in clinical settingsYuta Nakahashi, Tsukasa Saida, Miki Yoshida, et al.
Magnetic Resonance Imaging|February 10, 2024
Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neckNoriyuki Fujima, Junichi Nakagawa, Yohei Ikebe, et al.
Magma (New York, N.Y.)|November 22, 2023
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neckNoriyuki Fujima, Junichi Nakagawa, Hiroyuki Kameda, et al.
European Journal of Radiology Open|July 30, 2025
Comparative evaluation of four reconstruction techniques for prostate T2-weighted MRI: Sensitivity encoding, compressed sensing, deep learning, and super-resolutionNoriko Nishioka, Noriyuki Fujima, Satonori Tsuneta, et al.
Magma (New York, N.Y.)|April 10, 2026
Effects of gadolinium-based contrast agents on the cardiac diffusion-weighted images of phantoms and patientsSatonori Tsuneta, Satoru Aono, Jihun Kwon, et al.
Ultrasound in Medicine & Biology|November 8, 2019
Use of 3-D Contrast-Enhanced Ultrasound to Evaluate Tumor Microvasculature After Nanoparticle-Mediated ModulationJihun Kwon, Rajalekha M Rajamahendiran, Needa A Virani, et al.
European Journal of Radiology Open|July 29, 2024
Enhancing the image quality of prostate diffusion-weighted imaging in patients with prostate cancer through model-based deep learning reconstructionNoriko Nishioka, Noriyuki Fujima, Satonori Tsuneta, et al.
Plos One|July 25, 2020
Noninvasive imaging of tumor hypoxia after nanoparticle-mediated tumor vascular disruptionNeeda A Virani, Olivia J Kelada, Sijumon Kunjachan, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Japanese Journal of Radiology|March 4, 2025
Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imagingNoriyuki Fujima, Yukie Shimizu, Yohei Ikebe, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|June 1, 2025
The Impact of Model-based Deep-learning Reconstruction Compared with that of Compressed Sensing-Sensitivity Encoding on the Image Quality and Precision of Cine Cardiac MR in Evaluating Left-ventricular Volume and Strain: A Study on Healthy VolunteersSatonori Tsuneta, Satoru Aono, Rina Kimura, et al.
Skeletal Radiology|June 16, 2025
Evaluation of lumbar intervertebral disc degeneration using <sup>23</sup>Na-MRI in clinical settingsYuta Nakahashi, Tsukasa Saida, Miki Yoshida, et al.
Magnetic Resonance Imaging|February 10, 2024
Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neckNoriyuki Fujima, Junichi Nakagawa, Yohei Ikebe, et al.
Magma (New York, N.Y.)|November 22, 2023
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neckNoriyuki Fujima, Junichi Nakagawa, Hiroyuki Kameda, et al.
European Journal of Radiology Open|July 30, 2025
Comparative evaluation of four reconstruction techniques for prostate T2-weighted MRI: Sensitivity encoding, compressed sensing, deep learning, and super-resolutionNoriko Nishioka, Noriyuki Fujima, Satonori Tsuneta, et al.
Magma (New York, N.Y.)|April 10, 2026
Effects of gadolinium-based contrast agents on the cardiac diffusion-weighted images of phantoms and patientsSatonori Tsuneta, Satoru Aono, Jihun Kwon, et al.
Ultrasound in Medicine & Biology|November 8, 2019
Use of 3-D Contrast-Enhanced Ultrasound to Evaluate Tumor Microvasculature After Nanoparticle-Mediated ModulationJihun Kwon, Rajalekha M Rajamahendiran, Needa A Virani, et al.
European Journal of Radiology Open|July 29, 2024
Enhancing the image quality of prostate diffusion-weighted imaging in patients with prostate cancer through model-based deep learning reconstructionNoriko Nishioka, Noriyuki Fujima, Satonori Tsuneta, et al.
Plos One|July 25, 2020
Noninvasive imaging of tumor hypoxia after nanoparticle-mediated tumor vascular disruptionNeeda A Virani, Olivia J Kelada, Sijumon Kunjachan, et al.
Pageof 3