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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.

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Showing 26-50 of 46 citing articles:

Speeding Up and Improving Image Quality in Glioblastoma MRI Protocol by Deep Learning Image Reconstruction
Georg Gohla, Till‐Karsten Hauser, Paula Bombach, et al.
Cancers (2024) Vol. 16, Iss. 10, pp. 1827-1827
Open Access | Times Cited: 2
Radiomics based on preoperative rectal cancer MRI to predict the metachronous liver metastasis
Zhuofu Li, Liqing Kang, Fenghai Liu, et al.
Abdominal Radiology (2022)
Closed Access | Times Cited: 9
Deep learning models for preoperative T-stage assessment in rectal cancer using MRI: exploring the impact of rectal filling
Chang Tian, Xiaolu Ma, Haidi Lu, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 5
Nomogram Based on Super-Resolution Ultrasound Images Outperforms in Predicting Benign and Malignant Breast Lesions
Liu Yang, Zhe Ma
Breast Cancer Targets and Therapy (2023) Vol. Volume 15, pp. 867-878
Open Access | Times Cited: 5
Prospective and multi-reader evaluation of deep learning reconstruction-based accelerated rectal MRI: image quality, diagnostic performance, and reading time
Wenjing Peng, Lijuan Wan, Xiaowan Tong, et al.
European Radiology (2024) Vol. 34, Iss. 11, pp. 7438-7449
Closed Access | Times Cited: 1
Automatic Quantification of Enlarged Perivascular Space in Patients With Traumatic Brain Injury Using Super-Resolution of T2-Weighted Images
Jiachen Zhuo, Prashant Raghavan, Muhan Shao, et al.
Journal of Neurotrauma (2023) Vol. 41, Iss. 3-4, pp. 407-419
Closed Access | Times Cited: 3
Automatic treatment outcome prediction with DeepInteg based on multimodal radiological images in rectal cancer
Yihuang Hu, Juan Li, Zhuokai Zhuang, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13094-e13094
Open Access | Times Cited: 2
A Contrast-Enhanced CT-Based Deep Learning System for Preoperative Prediction of Colorectal Cancer Staging and RAS Mutation
Na Lü, Xiao Guan, Zhu Jian-guo, et al.
Cancers (2023) Vol. 15, Iss. 18, pp. 4497-4497
Open Access | Times Cited: 2
Compressed Sensing 3D T2WI Radiomics Model: Improving Diagnostic Performance in Muscle Invasion of Bladder Cancer
Shuo Li, Zhichang Fan, Junting Guo, et al.
(2024)
Closed Access
Cloud Computing Applications in Biomedicine
Arpit Namdev, Vivek Veeraiah, S. Dhamodaran, et al.
Advances in computer and electrical engineering book series (2024), pp. 291-311
Closed Access
Stability of Radiomic Models and Strategies to Enhance Reproducibility
Ahmad Chaddad, Xiaojuan Liang
IEEE Transactions on Radiation and Plasma Medical Sciences (2024) Vol. 8, Iss. 5, pp. 540-555
Closed Access
Prediction of Lymph Node Metastasis in Rectal Cancer Based on Super-Resolution MRI Radiomics and Clinical Baseline
Liang Zhang, Xueting Qu, Feng Duan, et al.
Research Square (Research Square) (2024)
Open Access
Deep Learning Reconstruction for DWIs by EPI and FASE Sequences for Head and Neck Tumors
Hirotaka Ikeda, Yoshiharu Ohno, Kaori Yamamoto, et al.
Cancers (2024) Vol. 16, Iss. 9, pp. 1714-1714
Open Access
Preprocessing Techniques for Rectal Cancer Diagnosis using MR Images
Sonal Patreena D'Almeida, Surekha Kamath, Rajagopal Kadavigere, et al.
(2024), pp. 185-191
Open Access
Compressed sensing 3D T2WI radiomics model: improving diagnostic performance in muscle invasion of bladder cancer
Shuo Li, Zhichang Fan, Junting Guo, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Intracranial Aneurysm Rupture Risk Assessment Model Based on Multi-scale Deep Transfer Learning and Radiomics Features Fusion
Mengmeng Xu, Miao Song, Shasha Zhang
(2024), pp. 1112-1118
Closed Access
Application of Artificial Intelligence in Abdominal Imaging
Ma Xiaohong, Feng Bing, Qi Zhang, et al.
(2024), pp. 181-191
Closed Access
Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade
Chi Zhang, Peng Wang, Jinlong He, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
MRI-based radiomics features for prediction of pathological deterioration upgrading in rectal tumor
Yongping Hong, Xingxing Chen, Wei Sun, et al.
Academic Radiology (2024)
Closed Access
Deep Learning-Based Super-Resolution Us Radiomics to Differentiate Testicular Seminoma and Non-Seminoma
Yafang Zhang, Shilin Lu, Chuan Peng, et al.
(2024)
Closed Access
Evaluation of super resolution technology for digestive endoscopic images
Jiaxi Lin, Shiqi Zhu, Xinyan Gao, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38920-e38920
Open Access
Nomogram for predicting cervical lymph node metastasis of papillary thyroid carcinoma using deep learning-based super-resolution ultrasound image
Xia Li, Yu Zhao, Wenhui Chen, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Closed Access
Role of Artificial Intelligence in MRI-Based Rectal Cancer Staging: A Systematic Review
Afsal Latheef Tayyil Purayil, R Joseph, Arjun Raj, et al.
Cureus (2024)
Open Access
Should the Baseline MRI Staging Criteria Differentiate Between Mucinous and Classical Rectal Adenocarcinoma?
Jingjing Liu, Gengyun Miao, Lamei Deng, et al.
Academic Radiology (2023) Vol. 31, Iss. 4, pp. 1378-1387
Closed Access
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