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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:

MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study
Xiaojun Chen, Xue Wang, Meng Gan, et al.
European Journal of Radiology (2021) Vol. 146, pp. 110072-110072
Closed Access | Times Cited: 17

Showing 17 citing articles:

Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 439-456
Closed Access | Times Cited: 6
Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS tools
Luca Russo, Silvia Bottazzi, Burak Koçak, et al.
European Radiology (2024) Vol. 35, Iss. 1, pp. 202-214
Open Access | Times Cited: 4
Identification of useful genes from multiple microarrays for ulcerative colitis diagnosis based on machine learning methods
Lin Zhang, Rui Mao, Chung Tai Lau, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17
Accuracy of radiomics in the diagnosis and preoperative high-risk assessment of endometrial cancer: a systematic review and meta-analysis
Junmei He, Yurong Liu, Jinzhu Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Multimodal MRI-Based Radiomics-Clinical Model for Preoperatively Differentiating Concurrent Endometrial Carcinoma From Atypical Endometrial Hyperplasia
Jieying Zhang, Qi Zhang, Tingting Wang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Preoperative Assessment of MRI‐Invisible Early‐Stage Endometrial Cancer With MRI‐Based Radiomics Analysis
Xiaoting Jiang, Jiacheng Song, Aining Zhang, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 1, pp. 247-255
Closed Access | Times Cited: 14
Different multiparametric MRI-based radiomics models for differentiating stage IA endometrial cancer from benign endometrial lesions: A multicenter study
Qiu Bi, Yaoxin Wang, Yuchen Deng, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
Radiomics model based on multi-sequence MRI for preoperative prediction of ki-67 expression levels in early endometrial cancer
Si-Xuan Ding, Yu-Feng Sun, Huan Meng, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Evaluation of multi-parameter MRI in preoperative staging of endometrial carcinoma
L Zhang, Liqiong Liu
European Journal of Radiology Open (2024) Vol. 12, pp. 100559-100559
Open Access | Times Cited: 2
A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study
Camelia Alexandra Coadă, Miriam Santoro, Vladislav Zybin, et al.
Cancers (2023) Vol. 15, Iss. 18, pp. 4534-4534
Open Access | Times Cited: 6
Radiomics in endometrial cancer and beyond - a perspective from the editors of the EJR
Daniel Pinto dos Santos
European Journal of Radiology (2022) Vol. 150, pp. 110266-110266
Closed Access | Times Cited: 10
Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging
Lei Lei, Lixin Du, Yinglong He, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 5
Radiomics nomogram in aiding preoperatively dilatation and curettage in differentiating type II and type I endometrial cancer
X-F Liu, B-C Yan, Ying Li, et al.
Clinical Radiology (2022) Vol. 78, Iss. 2, pp. e29-e36
Closed Access | Times Cited: 8
Predicting Risk Stratification in Early-Stage Endometrial Carcinoma: Significance of Multiparametric MRI Radiomics Model
Huan Meng, Yu-Feng Sun, Yu Zhang, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 81-91
Open Access | Times Cited: 1
Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma
Xianhong Wang, Qiu Bi, Cheng Deng, et al.
Abdominal Radiology (2024)
Closed Access | Times Cited: 1
Artificial Intelligence in Obstetric and Gynecological MR Imaging
Tsukasa Saida, Wenchao Gu, Sodai Hoshiai, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
Advances in Radiomics Research for Endometrial Cancer: A Comprehensive Review
Wenxiu Guo, Tong Wang, Binglin Lv, et al.
Journal of Cancer (2023) Vol. 14, Iss. 18, pp. 3523-3531
Open Access | Times Cited: 3
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