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:
Peritumoral and Intratumoral Texture Features Based on Multiparametric MRI and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer
Ni Xie, Xuhui Fan, Desheng Chen, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 2, pp. 379-391
Closed Access | Times Cited: 12
Ni Xie, Xuhui Fan, Desheng Chen, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 2, pp. 379-391
Closed Access | Times Cited: 12
Showing 12 citing articles:
Artificial Intelligence in Pancreatic Imaging: A Systematic Review
Nicoleta Podină, Elena Codruța Gheorghe, Alina Constantin, et al.
United European Gastroenterology Journal (2025)
Open Access | Times Cited: 1
Nicoleta Podină, Elena Codruța Gheorghe, Alina Constantin, et al.
United European Gastroenterology Journal (2025)
Open Access | Times Cited: 1
Endoscopic ultrasonography-based intratumoral and peritumoral machine learning radiomics analyses for distinguishing insulinomas from non-functional pancreatic neuroendocrine tumors
Shuangyang Mo, Cheng Huang, Yingwei Wang, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 4
Shuangyang Mo, Cheng Huang, Yingwei Wang, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 4
Serum High-Density Lipoprotein Cholesterol Concentrations in Pancreatic Ductal Adenocarcinoma and Its Association With Histological Grade in a Chinese Population
Zhong-Qiu Wang, Xiaojing Lv, Hui Li, et al.
Cancer Control (2025) Vol. 32
Open Access
Zhong-Qiu Wang, Xiaojing Lv, Hui Li, et al.
Cancer Control (2025) Vol. 32
Open Access
Applicability of Radiomics for Differentiation of Pancreatic Adenocarcinoma from Healthy Tissue of Pancreas by Using Magnetic Resonance Imaging and Machine Learning
Dimitrije Šarac, Milica Badža Atanasijević, Milica Mitrović-Jovanović, et al.
Cancers (2025) Vol. 17, Iss. 7, pp. 1119-1119
Open Access
Dimitrije Šarac, Milica Badža Atanasijević, Milica Mitrović-Jovanović, et al.
Cancers (2025) Vol. 17, Iss. 7, pp. 1119-1119
Open Access
Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors
Shuangyang Mo, Cheng Huang, Yingwei Wang, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Shuangyang Mo, Cheng Huang, Yingwei Wang, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
EUS-based intratumoral and peritumoral machine learning radiomics analysis for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
Shuangyang Mo, Yi Nan, Fengyan Qin, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Shuangyang Mo, Yi Nan, Fengyan Qin, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Predictive role of radiomics features extracted from preoperative cross-sectional imaging of pancreatic ductal adenocarcinoma in detecting lymph node metastasis: a systemic review and meta-analysis
Mohammad Mirza‐Aghazadeh‐Attari, Seyedeh Panid Madani, Haneyeh Shahbazian, et al.
Abdominal Radiology (2023) Vol. 48, Iss. 8, pp. 2570-2584
Closed Access | Times Cited: 7
Mohammad Mirza‐Aghazadeh‐Attari, Seyedeh Panid Madani, Haneyeh Shahbazian, et al.
Abdominal Radiology (2023) Vol. 48, Iss. 8, pp. 2570-2584
Closed Access | Times Cited: 7
Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal adenocarcinoma
Chunyuan Cen, Chunyou Wang, Siqi Wang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
Chunyuan Cen, Chunyou Wang, Siqi Wang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
Pathological Diagnosis of Adult Craniopharyngioma on MR Images: An Automated End-to-End Approach Based on Deep Neural Networks Requiring No Manual Segmentation
Yuen Teng, Xiaoping Ran, Boran Chen, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 24, pp. 7481-7481
Open Access | Times Cited: 7
Yuen Teng, Xiaoping Ran, Boran Chen, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 24, pp. 7481-7481
Open Access | Times Cited: 7
Deep-learning-based radiomics of intratumoral and peritumoral MRI images to predict the pathological features of adjuvant radiotherapy in early-stage cervical squamous cell carcinoma
Xuefang Zhang, Hong-yuan Wu, Xu-Wei Liang, et al.
BMC Women s Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Xuefang Zhang, Hong-yuan Wu, Xu-Wei Liang, et al.
BMC Women s Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Lecture notes in computer science (2023), pp. 309-320
Closed Access | Times Cited: 1
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Lecture notes in computer science (2023), pp. 309-320
Closed Access | Times Cited: 1
Early Detection of Pancreatic Cancer Using Ensemble Learning with Medical Imaging
Kanchan Yadav, Manish Sharma, A. Deepak, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1846-1852
Closed Access | Times Cited: 1
Kanchan Yadav, Manish Sharma, A. Deepak, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1846-1852
Closed Access | Times Cited: 1
