
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:
CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
Wuteng Cao, Huabin Hu, Jirui Guo, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 9
Wuteng Cao, Huabin Hu, Jirui Guo, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 9
Showing 9 citing articles:
Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review
Minsung Kim, Taeyong Park, Bo Young Oh, et al.
Annals of Coloproctology (2024) Vol. 40, Iss. 1, pp. 13-26
Open Access | Times Cited: 6
Minsung Kim, Taeyong Park, Bo Young Oh, et al.
Annals of Coloproctology (2024) Vol. 40, Iss. 1, pp. 13-26
Open Access | Times Cited: 6
Predicting rectal cancer tumor budding grading based on MRI and CT with multimodal deep transfer learning: A dual-center study
Ziyan Liu, Jianye Jia, Fan Bai, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28769-e28769
Open Access | Times Cited: 2
Ziyan Liu, Jianye Jia, Fan Bai, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28769-e28769
Open Access | Times Cited: 2
Application research of radiomics in colorectal cancer: A bibliometric study
Lihong Yang, Binjie Wang, Xiaoying Shi, et al.
Medicine (2024) Vol. 103, Iss. 15, pp. e37827-e37827
Open Access | Times Cited: 2
Lihong Yang, Binjie Wang, Xiaoying Shi, et al.
Medicine (2024) Vol. 103, Iss. 15, pp. e37827-e37827
Open Access | Times Cited: 2
Radiogenomics: bridging the gap between imaging and genomics for precision oncology
Wenle He, Wenhui Huang, Lu Zhang, et al.
MedComm (2024) Vol. 5, Iss. 9
Open Access | Times Cited: 1
Wenle He, Wenhui Huang, Lu Zhang, et al.
MedComm (2024) Vol. 5, Iss. 9
Open Access | Times Cited: 1
Exploring the Current Role of Deep Learning in Radiologic Imaging of Gastrointestinal Diseases
Muhammed Yaman Swied, Bader Abou Shaar, Nabel Rajab Basha
Innovations in Digital Health Diagnostics and Biomarkers (2024) Vol. 4, Iss. 2024, pp. 68-80
Open Access | Times Cited: 1
Muhammed Yaman Swied, Bader Abou Shaar, Nabel Rajab Basha
Innovations in Digital Health Diagnostics and Biomarkers (2024) Vol. 4, Iss. 2024, pp. 68-80
Open Access | Times Cited: 1
Artificial Intelligence for the Colorectal Surgeon in 2024 – A Narrative Review of Prevalence, Policies, and (needed) Protections
Kurt S. Schultz, Michelle Hughes, Warqaa M. Akram, et al.
Seminars in Colon and Rectal Surgery (2024) Vol. 35, Iss. 3, pp. 101037-101037
Closed Access
Kurt S. Schultz, Michelle Hughes, Warqaa M. Akram, et al.
Seminars in Colon and Rectal Surgery (2024) Vol. 35, Iss. 3, pp. 101037-101037
Closed Access
A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study
Weicui Chen, Kaiyi Zheng, W. L. Yuan, et al.
La radiologia medica (2024)
Closed Access
Weicui Chen, Kaiyi Zheng, W. L. Yuan, et al.
La radiologia medica (2024)
Closed Access
Deep learning-assisted colonoscopy images for prediction of mismatch repair deficiency in colorectal cancer
Yue Cai, Xijie Chen, Guoqin Chen, et al.
Surgical Endoscopy (2024)
Closed Access
Yue Cai, Xijie Chen, Guoqin Chen, et al.
Surgical Endoscopy (2024)
Closed Access
Advances in AI-Enhanced Biomedical Imaging for Cancer Immunology
Willa Wen‐You Yim, Felicia Wee, Zheng Yi Ho, et al.
(2024) Vol. 01
Closed Access
Willa Wen‐You Yim, Felicia Wee, Zheng Yi Ho, et al.
(2024) Vol. 01
Closed Access