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:
Deep Learning Applications in Pancreatic Cancer
Hardik J. Patel, Theodoros P. Zanos, D. Brock Hewitt
Cancers (2024) Vol. 16, Iss. 2, pp. 436-436
Open Access | Times Cited: 7
Hardik J. Patel, Theodoros P. Zanos, D. Brock Hewitt
Cancers (2024) Vol. 16, Iss. 2, pp. 436-436
Open Access | Times Cited: 7
Showing 7 citing articles:
Automated CAD system for early detection and classification of pancreatic cancer using deep learning model
Abubakar Nadeem, Rehan Ashraf, Toqeer Mahmood, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0307900-e0307900
Open Access
Abubakar Nadeem, Rehan Ashraf, Toqeer Mahmood, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0307900-e0307900
Open Access
Diagnostic Accuracy of Radiomics in the Early Detection of Pancreatic Cancer: A Systematic Review and Qualitative Assessment Using the Methodological Radiomics Score (METRICS)
María Estefanía Renjifo-Correa, Salvatore Claudio Fanni, Luis Alfonso Bustamante Cristancho, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 803-803
Open Access
María Estefanía Renjifo-Correa, Salvatore Claudio Fanni, Luis Alfonso Bustamante Cristancho, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 803-803
Open Access
Automated pancreatic mass segmentation in computer tomography images using a voting ensemble method based on encoder-decoder architectures
Alexandre de Carvalho Araújo, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, et al.
Procedia Computer Science (2025) Vol. 256, pp. 1167-1174
Open Access
Alexandre de Carvalho Araújo, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, et al.
Procedia Computer Science (2025) Vol. 256, pp. 1167-1174
Open Access
Application of artificial intelligence to hepatobiliary cancer clinical outcomes research
Yutaka Endo, Laura Alaimo, Giovanni Catalano, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 2, pp. 59-67
Open Access | Times Cited: 1
Yutaka Endo, Laura Alaimo, Giovanni Catalano, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 2, pp. 59-67
Open Access | Times Cited: 1
Artificial intelligence–based skeletal muscle estimates and outcomes of EUS-guided treatment of pancreatic fluid collections
Mamoru Takenaka, Wataru Gonoi, Tatsuya Sato, et al.
iGIE (2024) Vol. 3, Iss. 3, pp. 382-392.e8
Closed Access
Mamoru Takenaka, Wataru Gonoi, Tatsuya Sato, et al.
iGIE (2024) Vol. 3, Iss. 3, pp. 382-392.e8
Closed Access
Deep Multiple Instance Learning Model to Predict Outcome of Pancreatic Cancer Following Surgery
Caroline Truntzer, Dina Ouahbi, Titouan Huppé, et al.
Biomedicines (2024) Vol. 12, Iss. 12, pp. 2754-2754
Open Access
Caroline Truntzer, Dina Ouahbi, Titouan Huppé, et al.
Biomedicines (2024) Vol. 12, Iss. 12, pp. 2754-2754
Open Access
Applications of artificial intelligence in digital pathology for gastric cancer
Sheng Chen, Pingan Ding, Honghai Guo, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Sheng Chen, Pingan Ding, Honghai Guo, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Pancreatic Cancer Diagnosis from CT Scan Images Using Machine Learning Methods
Arya Kashikar, Sudhanshu Maurya, Tirthak Likhar, et al.
(2024), pp. 1589-1595
Closed Access
Arya Kashikar, Sudhanshu Maurya, Tirthak Likhar, et al.
(2024), pp. 1589-1595
Closed Access
