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 Algorithms for Pancreas Segmentation from Radiology Scans
Zheyuan Zhang, Lanhong Yao, Elif Keleş, et al.
Advances in Clinical Radiology (2023) Vol. 5, Iss. 1, pp. 31-52
Open Access | Times Cited: 9
Zheyuan Zhang, Lanhong Yao, Elif Keleş, et al.
Advances in Clinical Radiology (2023) Vol. 5, Iss. 1, pp. 31-52
Open Access | Times Cited: 9
Showing 9 citing articles:
Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review
Somayeh Sadat Mehrnia, Zhino Safahi, Amin Mousavi, et al.
Deleted Journal (2025)
Closed Access
Somayeh Sadat Mehrnia, Zhino Safahi, Amin Mousavi, et al.
Deleted Journal (2025)
Closed Access
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning
Zheyuan Zhang, Elif Keleş, Görkem Durak, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103382-103382
Open Access | Times Cited: 4
Zheyuan Zhang, Elif Keleş, Görkem Durak, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103382-103382
Open Access | Times Cited: 4
Advances for Managing Pancreatic Cystic Lesions: Integrating Imaging and AI Innovations
Deniz Seyithanoglu, Görkem Durak, Elif Keleş, et al.
Cancers (2024) Vol. 16, Iss. 24, pp. 4268-4268
Open Access | Times Cited: 1
Deniz Seyithanoglu, Görkem Durak, Elif Keleş, et al.
Cancers (2024) Vol. 16, Iss. 24, pp. 4268-4268
Open Access | Times Cited: 1
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation
Linkai Peng, Zheyuan Zhang, Görkem Durak, et al.
Lecture notes in computer science (2024), pp. 35-44
Closed Access
Linkai Peng, Zheyuan Zhang, Görkem Durak, et al.
Lecture notes in computer science (2024), pp. 35-44
Closed Access
Assessing the Efficacy of Foundation Models in Pancreas Segmentation
E. Rapisarda, Alessandro Giuseppe Gravagno, Salvatore Calcagno, et al.
Lecture notes in computer science (2024), pp. 3-13
Closed Access
E. Rapisarda, Alessandro Giuseppe Gravagno, Salvatore Calcagno, et al.
Lecture notes in computer science (2024), pp. 3-13
Closed Access
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
Ziliang Hong, Debesh Jha, Koushik Biswas, et al.
(2024), pp. 1-4
Closed Access
Ziliang Hong, Debesh Jha, Koushik Biswas, et al.
(2024), pp. 1-4
Closed Access
Mathematical model of diagnostics of malignant pancreas pathology
В. В. Петрушенко, С. А. Суходоля, А. І. Суходоля, et al.
Reports of Vinnytsia National Medical University (2024) Vol. 28, Iss. 1, pp. 64-74
Open Access
В. В. Петрушенко, С. А. Суходоля, А. І. Суходоля, et al.
Reports of Vinnytsia National Medical University (2024) Vol. 28, Iss. 1, pp. 64-74
Open Access
A deep learning-based cascade algorithm for pancreatic tumor segmentation
Dandan Qiu, Jianguo Ju, Shumin Ren, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Dandan Qiu, Jianguo Ju, Shumin Ren, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Comparative Analysis of Baseline Vnet and Unet Architectures on Pancreas Segmentation
Azim Uslucuk, Hakan Öcal
Orclever Proceedings of Research and Development (2023) Vol. 3, Iss. 1, pp. 146-157
Open Access
Azim Uslucuk, Hakan Öcal
Orclever Proceedings of Research and Development (2023) Vol. 3, Iss. 1, pp. 146-157
Open Access
