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OpenAlex Citation Counts

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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:

M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research
Mengye Lyu, Lifeng Mei, Shoujin Huang, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 25

Showing 25 citing articles:

Deep learning for accelerated and robust MRI reconstruction
Reinhard Heckel, Mathews Jacob, Akshay Chaudhari, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2024) Vol. 37, Iss. 3, pp. 335-368
Open Access | Times Cited: 12
Sharing Data Is Essential for the Future of AI in Medical Imaging
Laura C. Bell, Efrat Shimron
Radiology Artificial Intelligence (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 12
IWNeXt: an image-wavelet domain ConvNeXt-based network for self-supervised multi-contrast MRI reconstruction
Yanghui Yan, Tiejun Yang, Chunxia Jiao, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 8, pp. 085005-085005
Open Access | Times Cited: 4
Advancing the Reliability of Ultra-Low Field MRI Brain Volume Analysis Using CycleGAN
Peter Hsu, Elisa Marchetto, Daniel K. Sodickson, et al.
Communications in computer and information science (2025), pp. 52-62
Closed Access
Infant Hippocampal Segmentation in Ultra-Low-Field MRI Using External Datasets with Diverse Field Strengths
Weichen Zhou, Jingyu Li, Xi Wang, et al.
Lecture notes in computer science (2025), pp. 28-37
Open Access
Multi-channel MRI reconstruction using cascaded Swinμ transformers with overlapped attention
Tanzila Rahman, Ali Bilgin, Sergio D. Cabrera
Physics in Medicine and Biology (2025) Vol. 70, Iss. 7, pp. 075002-075002
Open Access
Quantitative Ischemic Lesions of Portable Low–Field Strength MRI Using Deep Learning–Based Super-Resolution
Yueyan Bian, L. Wang, Jin Li, et al.
Stroke (2025)
Closed Access
Tailored Self-Supervised Pretraining Improves Brain MRI Diagnostic Models
Xinhao Huang, Zihao W. Wang, Weichen Zhou, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 123, pp. 102560-102560
Closed Access
Facilitators and barriers in managing older chronic heart failure patients in community health care centers: a qualitative study of medical personnel's perspectives using the socio-ecological model
Yan Lou, Min Zhang, Yun Zou, et al.
Frontiers in Health Services (2025) Vol. 5
Open Access
Fast MRI reconstruction: A thorough survey from single-modal to multi-modal
Weiyi Lyu, Xinming Fang, Chaoyan Huang, et al.
Expert Systems with Applications (2025), pp. 127703-127703
Closed Access
Deep learning-based magnetic resonance image super-resolution: a survey
Zexin Ji, Beiji Zou, Xiaoyan Kui, et al.
Neural Computing and Applications (2024)
Closed Access | Times Cited: 3
A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research
Katharine A. Dishner, Bala McRae‐Posani, Arka Bhowmik, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 2, pp. 450-480
Closed Access | Times Cited: 8
MRI denoising with a non‐blind deep complex‐valued convolutional neural network
Quan Dou, Zhixing Wang, Xue Feng, et al.
NMR in Biomedicine (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
Accurate Multi-contrast MRI Super-Resolution via a Dual Cross-Attention Transformer Network
Shoujin Huang, Jingyu Li, Lifeng Mei, et al.
Lecture notes in computer science (2023), pp. 313-322
Closed Access | Times Cited: 6
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
Shoujin Huang, Guanxiong Luo, Xi Wang, et al.
Lecture notes in computer science (2024), pp. 498-508
Closed Access | Times Cited: 1
Evaluating Machine Learning-Based MRI Reconstruction Using Digital Image Quality Phantoms
Fei Tan, Jana G. Delfino, Rongping Zeng
Bioengineering (2024) Vol. 11, Iss. 6, pp. 614-614
Open Access
The MRI Scanner as a Diagnostic: Image-Less Active Sampling
Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris
Lecture notes in computer science (2024), pp. 467-476
Closed Access
Facilitators and Barriers in Managing Elderly Chronic Heart Failure Patients in Primary Care: A Qualitative Study of Medical Personnel’s Perspectives Using the Socio-Ecological Model
Yan Lou, Min Zhang, Yun Zou, et al.
Research Square (Research Square) (2024)
Open Access
Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction
Xiaohan Xing, Liang Qiu, Lequan Yu, et al.
Lecture notes in computer science (2024), pp. 177-186
Closed Access
SGSR: Structure-Guided Multi-contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention
Shaoming Zheng, Yinsong Wang, Siyi Du, et al.
Lecture notes in computer science (2024), pp. 382-391
Closed Access
Clean Self-Supervised MRI Reconstruction from Noisy, Sub-Sampled Training Data with Robust SSDU
Charles B. Millard, Mark Chiew
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1305-1305
Open Access
Low Field MRI Deep Learning Framework for Non-Hospitalizing Early Detection and Characterization of Alzheimer’s Disease Pathology
Aarav Minocha, Seung-Yong Yang, Jayesh Patel, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7369-7373
Closed Access
Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDU
Charles B. Millard, Mark Chiew
(2023)
Open Access | Times Cited: 1
Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDU
Charles B. Millard, Mark Chiew
(2023)
Open Access
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