OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Usefulness of Breath-Hold Fat-Suppressed T2-Weighted Images With Deep Learning–Based Reconstruction of the Liver
Fumihito Ichinohe, Kazuki Oyama, Akira Yamada, et al.
Investigative Radiology (2022) Vol. 58, Iss. 6, pp. 373-379
Open Access | Times Cited: 9
Fumihito Ichinohe, Kazuki Oyama, Akira Yamada, et al.
Investigative Radiology (2022) Vol. 58, Iss. 6, pp. 373-379
Open Access | Times Cited: 9
Showing 9 citing articles:
Clinical applications of artificial intelligence in liver imaging
Akira Yamada, Koji Kamagata, Kenji Hirata, et al.
La radiologia medica (2023) Vol. 128, Iss. 6, pp. 655-667
Closed Access | Times Cited: 20
Akira Yamada, Koji Kamagata, Kenji Hirata, et al.
La radiologia medica (2023) Vol. 128, Iss. 6, pp. 655-667
Closed Access | Times Cited: 20
Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction
Shohei Matsumoto, Takahiro Tsuboyama, Hiromitsu Onishi, et al.
Investigative Radiology (2023) Vol. 59, Iss. 7, pp. 479-488
Closed Access | Times Cited: 7
Shohei Matsumoto, Takahiro Tsuboyama, Hiromitsu Onishi, et al.
Investigative Radiology (2023) Vol. 59, Iss. 7, pp. 479-488
Closed Access | Times Cited: 7
Clinical feasibility of deep learning–accelerated single-shot turbo spin echo sequence with enhanced denoising for pancreas MRI at 3 Tesla
Jeong Woo Kim, Bit Na Park, Dominik Nickel, et al.
European Journal of Radiology (2024) Vol. 181, pp. 111737-111737
Closed Access | Times Cited: 2
Jeong Woo Kim, Bit Na Park, Dominik Nickel, et al.
European Journal of Radiology (2024) Vol. 181, pp. 111737-111737
Closed Access | Times Cited: 2
Deep Learning Reconstruction of Prospectively Accelerated MRI of the Pancreas
М. П. Чайка, Jan M. Brendel, Stephan Ursprung, et al.
Investigative Radiology (2024)
Closed Access | Times Cited: 1
М. П. Чайка, Jan M. Brendel, Stephan Ursprung, et al.
Investigative Radiology (2024)
Closed Access | Times Cited: 1
Quantitative Liver Imaging in Children
Haesung Yoon, Jisoo Kim, Hyun Ji Lim, et al.
Investigative Radiology (2024)
Closed Access | Times Cited: 1
Haesung Yoon, Jisoo Kim, Hyun Ji Lim, et al.
Investigative Radiology (2024)
Closed Access | Times Cited: 1
Feasibility of the application of deep learning-reconstructed ultra-fast respiratory-triggered T2-weighted imaging at 3 T in liver imaging
Kai Liu, Haitao Sun, Xingxing Wang, et al.
Magnetic Resonance Imaging (2024) Vol. 109, pp. 27-33
Closed Access
Kai Liu, Haitao Sun, Xingxing Wang, et al.
Magnetic Resonance Imaging (2024) Vol. 109, pp. 27-33
Closed Access
Deep learning reconstruction for turbo spin echo to prospectively accelerate ankle MRI: A multi-reader study
Yuxue Xie, Xiangwen Li, Yiwen Hu, et al.
European Journal of Radiology (2024) Vol. 175, pp. 111451-111451
Closed Access
Yuxue Xie, Xiangwen Li, Yiwen Hu, et al.
European Journal of Radiology (2024) Vol. 175, pp. 111451-111451
Closed Access
Utility of Thin-slice Fat-suppressed Single-shot T2-weighted MR Imaging with Deep Learning Image Reconstruction as a Protocol for Evaluating the Pancreas
Ryuji Shimada, Keitaro Sofue, Yoshiko Ueno, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access
Ryuji Shimada, Keitaro Sofue, Yoshiko Ueno, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access
Comparison of image quality and lesion conspicuity between conventional and deep learning reconstruction in gadoxetic acid-enhanced liver MRI
Jeong Hee Yoon, Jeong Eun Lee, So Hyun Park, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access
Jeong Hee Yoon, Jeong Eun Lee, So Hyun Park, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access
