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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 28 citing articles:

MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy
Jaeseung Shin, Nieun Seo, Song‐Ee Baek, et al.
Radiology (2022) Vol. 303, Iss. 2, pp. 351-358
Closed Access | Times Cited: 155
Future direction of total neoadjuvant therapy for locally advanced rectal cancer
Yoshinori Kagawa, J. Joshua Smith, Emmanouil Fokas, et al.
Nature Reviews Gastroenterology & Hepatology (2024) Vol. 21, Iss. 6, pp. 444-455
Closed Access | Times Cited: 19
Watch-and-Wait Approach to Rectal Cancer: The Role of Imaging
Vetri Sudar Jayaprakasam, Janet Alvarez, Dana M. Omer, et al.
Radiology (2023) Vol. 307, Iss. 1
Open Access | Times Cited: 30
Radiomics and machine learning applications in rectal cancer: Current update and future perspectives
Arnaldo Stanzione, Francesco Verde, Valeria Romeo, et al.
World Journal of Gastroenterology (2021) Vol. 27, Iss. 32, pp. 5306-5321
Open Access | Times Cited: 49
Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice
Francesca Coppola, Valentina Giannini, Michela Gabelloni, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 756-756
Open Access | Times Cited: 45
MRI-based pre-Radiomics and delta-Radiomics models accurately predict the post-treatment response of rectal adenocarcinoma to neoadjuvant chemoradiotherapy
Likun Wang, Xueliang Wu, Ruoxi Tian, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 16
The Role of Radiomics in Rectal Cancer
João Miranda, Natally Horvat, José de Arimateia Batista Araújo-Filho, et al.
Journal of Gastrointestinal Cancer (2023) Vol. 54, Iss. 4, pp. 1158-1180
Closed Access | Times Cited: 12
The Role of Predictive and Prognostic MRI-Based Biomarkers in the Era of Total Neoadjuvant Treatment in Rectal Cancer
Sebastian Curcean, Andra Curcean, Daniela Martin, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 3111-3111
Open Access | Times Cited: 4
Response Assessment after Neoadjuvant Chemoradiotherapy in Rectal Cancer
Anuradha Chandramohan, Antony Augustine, S Hiriyanna, et al.
Deleted Journal (2025)
Open Access
Rectal MRI Interpretation After Neoadjuvant Therapy
Natally Horvat, Maria El Homsi, João Miranda, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 2, pp. 353-369
Closed Access | Times Cited: 18
Artificial intelligence and radiomics in magnetic resonance imaging of rectal cancer: a review
Giuseppe Costanzo, Raffaele Ascione, Andrea Ponsiglione, et al.
Exploration of Targeted Anti-tumor Therapy (2023), pp. 406-421
Open Access | Times Cited: 10
Magnetic resonance imaging‐based radiomics analysis for prediction of treatment response to neoadjuvant chemoradiotherapy and clinical outcome in patients with locally advanced rectal cancer: A large multicentric and validated study
Tingdan Hu, Jing Gong, Yiqun Sun, et al.
MedComm (2024) Vol. 5, Iss. 7
Open Access | Times Cited: 3
Multiparametric MRI-based Radiomics approaches on predicting response to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal cancer
Yuan Cheng, Yahong Luo, Yue Hu, et al.
Abdominal Radiology (2021) Vol. 46, Iss. 11, pp. 5072-5085
Closed Access | Times Cited: 19
Advances in pelvic imaging parameters predicting surgical difficulty in rectal cancer
Qingbai Zhang, Jiufeng Wei, Hongsheng Chen
World Journal of Surgical Oncology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 7
Significance of MRI-based radiomics in predicting pathological complete response to neoadjuvant chemoradiotherapy of locally advanced rectal cancer: A narrative review
Yang Li, X. Liu, M. Gu, et al.
Cancer/Radiothérapie (2024) Vol. 28, Iss. 4, pp. 390-401
Open Access | Times Cited: 2
Emerging applications of radiomics in rectal cancer: State of the art and future perspectives
Min Hou, Jihong Sun
World Journal of Gastroenterology (2021) Vol. 27, Iss. 25, pp. 3802-3814
Open Access | Times Cited: 17
Contrast-enhanced ultrasound–based nomogram for predicting malignant involvements among sonographically indeterminate/suspicious cervical lymph nodes in patients with differentiated thyroid carcinoma
Qianqian Guo, Chao Sun, Qing Chang, et al.
Ultrasound in Medicine & Biology (2022) Vol. 48, Iss. 8, pp. 1579-1589
Closed Access | Times Cited: 9
Assessment of MRI-Based Radiomics in Preoperative T Staging of Rectal Cancer: Comparison between Minimum and Maximum Delineation Methods
Haidi Lu, Yuan Yuan, Zhen Zhou, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 12
Magnetic Resonance-Guided Cancer Therapy Radiomics and Machine Learning Models for Response Prediction
Jesutofunmi Ayo Fajemisin, Glebys Gonzalez, Stephen A. Rosenberg, et al.
Tomography (2024) Vol. 10, Iss. 9, pp. 1439-1454
Open Access | Times Cited: 1
Preoperative MRI-based radiomic nomogram for distinguishing solitary fibrous tumor from angiomatous meningioma: a multicenter study
Mengjie Li, Shengli Fu, Jingjing Du, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Radiomics and Radiogenomics in Pelvic Oncology: Current Applications and Future Directions
Niall J. O’Sullivan, Michael E. Kelly
Current Oncology (2023) Vol. 30, Iss. 5, pp. 4936-4945
Open Access | Times Cited: 3
Radiomics in colorectal cancer
Long Wu, Huan Wu, Chen Li, et al.
iRadiology (2023) Vol. 1, Iss. 3, pp. 236-244
Open Access | Times Cited: 3
Investigating the Feasibility of Predicting KRAS Status, Tumor Staging, and Extramural Venous Invasion in Colorectal Cancer Using Inter-Platform Magnetic Resonance Imaging Radiomic Features
Mohammed S. Alshuhri, Abdulaziz Alduhyyim, Haitham Al-Mubarak, et al.
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3541-3541
Open Access | Times Cited: 3
Establishment and validation of novel MRI radiomic feature-based prognostic models to predict progression-free survival in locally advanced rectal cancer
Fei Xie, Qin Zhao, Shuqi Li, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 3
Radiomics prediction of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Jiali Lyu, Zhenzhu Pang, Jihong Sun
Radiology Science (2024) Vol. 3, Iss. 1
Open Access
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