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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 1-25 of 33 citing articles:

Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine
Sanjay Saxena, Biswajit Jena, Neha Gupta, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 2860-2860
Open Access | Times Cited: 86
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging
Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, et al.
PET Clinics (2021) Vol. 17, Iss. 1, pp. 183-212
Closed Access | Times Cited: 43
Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers
Sepideh Hatamikia, Stéphanie Nougaret, Camilla Panico, et al.
European Radiology Experimental (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 15
Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma
Leonardo Rundo, Lucian Beer, Lorena Escudero Sánchez, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 19
Radiomics and Radiogenomics of Ovarian Cancer
Camilla Panico, Giacomo Avesani, Konstantinos Zormpas‐Petridis, et al.
Radiologic Clinics of North America (2023) Vol. 61, Iss. 4, pp. 749-760
Closed Access | Times Cited: 12
Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer
Song Zeng, Xinlu Wang, Hua Yang
Military Medical Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
CT-based radiomics predicts HRD score and HRD status in patients with ovarian cancer
Yujiao Wu, Qianhui Zhang, Wenyan Jiang, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access
Validation analysis of the novel imaging-based prognostic radiomic signature in patients undergoing primary surgery for advanced high-grade serous ovarian cancer (HGSOC)
Christina Fotopoulou, Andrea Rockall, Haonan Lu, et al.
British Journal of Cancer (2021) Vol. 126, Iss. 7, pp. 1047-1054
Open Access | Times Cited: 25
CT-Based Radiomics and Machine Learning for Differentiating Benign, Borderline, and Early-Stage Malignant Ovarian Tumors
Jia Chen, Lei Liu, Ziying He, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 180-195
Open Access | Times Cited: 3
PET-CT in Clinical Adult Oncology—IV. Gynecologic and Genitourinary Malignancies
Ahmed Ebada Salem, G Fine, Matthew F. Covington, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 3000-3000
Open Access | Times Cited: 14
Prognostic Significance of 18F-FDG PET/CT Radiomics in Patients With Resectable Pancreatic Ductal Adenocarcinoma Undergoing Curative Surgery
Jang Yoo, Seung Hyup Hyun, Jaeho Lee, et al.
Clinical Nuclear Medicine (2024) Vol. 49, Iss. 10, pp. 909-916
Closed Access | Times Cited: 2
Intra- and peritumoral radiomics for predicting early recurrence in patients with high-grade serous ovarian cancer
Yujiao Wu, Wenyan Jiang, Langyuan Fu, et al.
Abdominal Radiology (2022) Vol. 48, Iss. 2, pp. 733-743
Closed Access | Times Cited: 11
MRI radiomics combined with clinicopathologic features to predict disease-free survival in patients with early-stage cervical cancer
Xiaoting Jiang, Jiacheng Song, Shaofeng Duan, et al.
British Journal of Radiology (2022) Vol. 95, Iss. 1136
Open Access | Times Cited: 10
Radiomics Analysis of 18F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery
Jang Yoo, Jaeho Lee, Miju Cheon, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2012-2012
Open Access | Times Cited: 5
Radiomics in Oncological PET Imaging: A Systematic Review—Part 2, Infradiaphragmatic Cancers, Blood Malignancies, Melanoma and Musculoskeletal Cancers
David Morland, Elizabeth Katherine Anna Triumbari, Luca Boldrini, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1330-1330
Open Access | Times Cited: 8
Advances in ovarian cancer radiomics: a bibliometric analysis from 2010 to 2024
Lan Wang, Hong Jiang, Tan Hua-yun
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Diagnostic value of a CT-based radiomics nomogram for discrimination of benign and early stage malignant ovarian tumors
Jia Chen, Fei Yang, Chanzhen Liu, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 3
Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers
Chen Xu, Xiao-Fei Huo, Zhe Wu, et al.
Chinese Medical Sciences Journal (2021) Vol. 36, Iss. 3, pp. 196-203
Open Access | Times Cited: 7
Radiomics in the evaluation of ovarian masses — a systematic review
Pratik Adusumilli, Nishant Ravikumar, Geoff Hall, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Prognostic 18F-FDG Radiomic Features in Advanced High-Grade Serous Ovarian Cancer
Daniela Travaglio Morales, C. Huerga, Itsaso Losantos-García, et al.
Diagnostics (2023) Vol. 13, Iss. 22, pp. 3394-3394
Open Access | Times Cited: 2
Novel prognostic nomograms to assess survival in high-grade serous ovarian carcinoma after surgery and chemotherapy: a retrospective cohort study from SEER database
Huang Wu, Yiting Bao, Xukai Luo, et al.
Annals of Translational Medicine (2022) Vol. 10, Iss. 13, pp. 728-728
Open Access | Times Cited: 3
Role of Artificial Intelligence in the Diagnosis and Therapy of Gynecological Disorders: Opportunities and Challenges
Savithri Vemulavada, Shriya Karthikvatsan, Anchana Babu, et al.
(2024), pp. 121-144
Closed Access
Development and optimisation of cationic lipid nanoparticles for mRNA delivery
Dongnan Yan, Haonan Lu, Apanpreet Kaur, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Predictive value of PET metabolic parameters for occult lymph node metastases in PET/CT defined node-negative patients with advanced epithelial ovarian cancer
Bing Xue, Xihai Wang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Application of artificial intelligence in CT and MR imaging of ovarian cancer
Lili Zhou, Chinting Wong, Yubo Li, et al.
Chinese Journal of Academic Radiology (2023) Vol. 6, Iss. 4, pp. 170-178
Closed Access | Times Cited: 1
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