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:
Predicting poor response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer: Model constructed using pre-treatment MRI features of structured report template
Xiaofeng Tang, Jiang Wu, Haojiang Li, et al.
Radiotherapy and Oncology (2020) Vol. 148, pp. 97-106
Closed Access | Times Cited: 16
Xiaofeng Tang, Jiang Wu, Haojiang Li, et al.
Radiotherapy and Oncology (2020) Vol. 148, pp. 97-106
Closed Access | Times Cited: 16
Showing 16 citing articles:
Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI
Aytül Hande Yardımcı, Burak Koçak, İpek Sel, et al.
Japanese Journal of Radiology (2022) Vol. 41, Iss. 1, pp. 71-82
Closed Access | Times Cited: 22
Aytül Hande Yardımcı, Burak Koçak, İpek Sel, et al.
Japanese Journal of Radiology (2022) Vol. 41, Iss. 1, pp. 71-82
Closed Access | Times Cited: 22
Development and validation of an MRI-based radiomic nomogram to distinguish between good and poor responders in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy
Jia Wang, Xuejun Liu, Bin Hu, et al.
Abdominal Radiology (2020) Vol. 46, Iss. 5, pp. 1805-1815
Closed Access | Times Cited: 28
Jia Wang, Xuejun Liu, Bin Hu, et al.
Abdominal Radiology (2020) Vol. 46, Iss. 5, pp. 1805-1815
Closed Access | Times Cited: 28
Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients
Jia Wang, Jingjing Chen, Ruizhi Zhou, et al.
BMC Cancer (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 17
Jia Wang, Jingjing Chen, Ruizhi Zhou, et al.
BMC Cancer (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 17
Prediction of pathological complete response and prognosis in locally advanced rectal cancer
Yi-Jun Xu, Dan Tao, Songbing Qin, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 6, pp. 2520-2530
Open Access | Times Cited: 3
Yi-Jun Xu, Dan Tao, Songbing Qin, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 6, pp. 2520-2530
Open Access | Times Cited: 3
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
Tingdan Hu, Jing Gong, Yiqun Sun, et al.
MedComm (2024) Vol. 5, Iss. 7
Open Access | Times Cited: 3
Review of Radiomics- and Dosiomics-based Predicting Models for Rectal Cancer
Yun Qin, Li Zhu, Wei Zhao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
Yun Qin, Li Zhu, Wei Zhao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
Survival impact of concurrent chemoradiotherapy for elderly patients with synchronous oligometastatic esophageal squamous cell carcinoma: A propensity score matching and landmark analyses
Zhenguo Shi, Xiaojuan Zhu, Shaobo Ke, et al.
Radiotherapy and Oncology (2021) Vol. 164, pp. 236-244
Closed Access | Times Cited: 14
Zhenguo Shi, Xiaojuan Zhu, Shaobo Ke, et al.
Radiotherapy and Oncology (2021) Vol. 164, pp. 236-244
Closed Access | Times Cited: 14
Local tuning of radiomics-based model for predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Bin Tang, Jacopo Lenkowicz, Qian Peng, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 7
Bin Tang, Jacopo Lenkowicz, Qian Peng, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 7
Value of texture analysis based on dynamic contrast-enhanced magnetic resonance imaging in preoperative assessment of extramural venous invasion in rectal cancer
Junjie Fang, Wei Sun, Dan Wu, et al.
Insights into Imaging (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Junjie Fang, Wei Sun, Dan Wu, et al.
Insights into Imaging (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Prediction of pathological response to neo‐adjuvant chemoradiotherapy for oesophageal cancer using vibrational spectroscopy
Thi Nguyet Que Nguyen, Adrian Maguire, Catherine Mooney, et al.
Translational Biophotonics (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 8
Thi Nguyet Que Nguyen, Adrian Maguire, Catherine Mooney, et al.
Translational Biophotonics (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 8
Radiomics from Mesorectal Blood Vessels and Lymph Nodes: A Novel Prognostic Predictor for Rectal Cancer with Neoadjuvant Therapy
Siyuan Qin, Siyi Lu, Ke Liu, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 1987-1987
Open Access | Times Cited: 2
Siyuan Qin, Siyi Lu, Ke Liu, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 1987-1987
Open Access | Times Cited: 2
A Rulefit-based prognostic analysis using structured MRI report to select potential beneficiaries from induction chemotherapy in advanced nasopharyngeal carcinoma: A dual-centre study
Shuqi Li, Weijing Zhang, B. Liang, et al.
Radiotherapy and Oncology (2023) Vol. 189, pp. 109943-109943
Open Access | Times Cited: 2
Shuqi Li, Weijing Zhang, B. Liang, et al.
Radiotherapy and Oncology (2023) Vol. 189, pp. 109943-109943
Open Access | Times Cited: 2
Predicting the response to neoadjuvant chemoradiation for rectal cancer using nomograms based on MRI tumour regression grade
Shishang Qin, Yi‐Jen Chen, Kai Liu, et al.
Cancer/Radiothérapie (2024) Vol. 28, Iss. 4, pp. 341-353
Closed Access
Shishang Qin, Yi‐Jen Chen, Kai Liu, et al.
Cancer/Radiothérapie (2024) Vol. 28, Iss. 4, pp. 341-353
Closed Access
MRI Evaluation of Rectal Cancer Following Preoperative Chemoradiotherapy
Krista Elise Suarez-Weiss, Kartik Jhaveri, Mukesh G. Harisinghani
Seminars in Roentgenology (2020) Vol. 56, Iss. 2, pp. 177-185
Closed Access | Times Cited: 1
Krista Elise Suarez-Weiss, Kartik Jhaveri, Mukesh G. Harisinghani
Seminars in Roentgenology (2020) Vol. 56, Iss. 2, pp. 177-185
Closed Access | Times Cited: 1
Local Tuning of Radiomics-Based Model for Predicting Pathological Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Bin Tang, Jacopo Lenkowicz, Qian Peng, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Bin Tang, Jacopo Lenkowicz, Qian Peng, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Rectal Cancer in Patients with Hereditary Nonpolyposis Colorectal Cancer Compared with Sporadic Cases: Response to Neoadjuvant Chemoradiation and Local Recurrence
Khaled Madbouly, Sameh Hany Emile, Yasmine Amr Issa
Journal of the American College of Surgeons (2022) Vol. 234, Iss. 5, pp. 793-802
Closed Access | Times Cited: 1
Khaled Madbouly, Sameh Hany Emile, Yasmine Amr Issa
Journal of the American College of Surgeons (2022) Vol. 234, Iss. 5, pp. 793-802
Closed Access | Times Cited: 1
