Noriyuki Fujima

Hokkaido University Hospital — Japan

Medicine · Health Sciences

28h-index2.7kcitations162works6.72yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced MRI Techniques and Applications(56), Radiomics and Machine Learning in Medical Imaging(42), MRI in cancer diagnosis(40), Advanced Neuroimaging Techniques and Applications(25), Head and Neck Cancer Studies(24)

Publications162 total

Quality of Head and Neck Diffusion-weighted MR Imaging Using a Combination of the Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) Sequence and Deep Learning Reconstruction
Magnetic Resonance in Medical Sciences·2026Open Access
χ-separation insights into whole-brain characterization of age-related patterns of susceptibility in healthy aging
NeuroImage·2025Open Access
Ultra-fast whole-brain T2-weighted imaging in 7 seconds using dual-type deep learning reconstruction with single-shot acquisition: clinical feasibility and comparison with conventional methods
Japanese Journal of Radiology·2025· 1 citedOpen Access
Gadolinium-based contrast agent and stimulated echo acquisition mode cardiac diffusion-weighted imaging: preliminary results
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Formulation and Simulation of Low b-value DTI of Pseudorandom Flow in CSF
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Comparative evaluation of four reconstruction techniques for prostate T2-weighted MRI: Sensitivity encoding, compressed sensing, deep learning, and super-resolution
European Journal of Radiology Open·2025· 1 citedOpen Access
Diagnosis of thyroid cartilage invasion by laryngeal and hypopharyngeal cancers based on CT with deep learning
European Journal of Radiology·2025· 1 cited
Association between RNF213 p.R4810K and Progression of Cerebral Artery Negative Remodeling in Moyamoya Disease
Neurologia medico-chirurgica·2025Open Access
Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging
Japanese Journal of Radiology·2025· 4 citedOpen Access
Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?
La radiologia medica·2025· 3 cited
Correction: Generative AI and large language models in nuclear medicine: current status and future prospects
Annals of Nuclear Medicine·2025· 1 citedOpen Access
Effect of a Training System Utilizing 3-Dimensionally Printed Patient-Specific Vascular Models on Endovascular Catheterization Performance
Journal of Vascular and Interventional Radiology·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 Volunteers
Magnetic Resonance in Medical Sciences·2025Open Access
Comparative Evaluation of Four Reconstruction Techniques for Prostate T2-Weighted MRI: Sensitivity Encoding, Compressed Sensing, Deep Learning, and Super-Resolution
SSRN Electronic Journal·2025Open Access
Stereotactic arrhythmia radioablation for ventricular tachycardia: a review of clinical trials and emerging roles of imaging
Journal of Radiation Research·2024· 4 citedOpen Access
Model-based deep learning reconstruction by SmartSpeed AI for head and neck contrast-enhanced 3D-T1 weighted imaging
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Advancing clinical MRI exams with artificial intelligence: Japan’s contributions and future prospects
Japanese Journal of Radiology·2024· 6 citedOpen Access
The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI
Magnetic Resonance in Medical Sciences·2024· 2 citedOpen Access
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature
Japanese Journal of Radiology·2024· 12 citedOpen Access
Generative AI and large language models in nuclear medicine: current status and future prospects
Annals of Nuclear Medicine·2024· 20 citedOpen Access
page 1 of 9Next →

Frequent Co-authors

Kohsuke Kudo(28), Hiroki Shirato(25), Khin Khin Tha(19), Akihiro Homma(17), Daisuke Yoshida(15), Kenji Hirata(14), Akiko Tsukahara(12), Tomohiro Sakashita(11), Daiju Ueda(10), Shohei Fujita(10), Koji Kamagata(10), Yasutaka Fushimi(10), Rintaro Ito(10), Yusuke Matsui(10), Taiki Nozaki(10), Takeshi Nakaura(10), Fuminari Tatsugami(10), Masahiro Yanagawa(10), Akira Yamada(10), Takahiro Tsuboyama(10)