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:
Gross Tumor Volume Definition and Comparative Assessment for Esophageal Squamous Cell Carcinoma From 3D 18F-FDG PET/CT by Deep Learning-Based Method
Yaoting Yue, Nan Li, Husnain Shahid, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
Yaoting Yue, Nan Li, Husnain Shahid, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
Showing 11 citing articles:
Clinical application of AI-based PET images in oncological patients
Jiaona Dai, Hui Wang, Yuchao Xu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 124-142
Closed Access | Times Cited: 18
Jiaona Dai, Hui Wang, Yuchao Xu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 124-142
Closed Access | Times Cited: 18
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Maryam Fallahpoor, Subrata Chakraborty, Biswajeet Pradhan, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107880-107880
Closed Access | Times Cited: 18
Maryam Fallahpoor, Subrata Chakraborty, Biswajeet Pradhan, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107880-107880
Closed Access | Times Cited: 18
AI-Guided Delineation of Gross Tumor Volume for Body Tumors: A Systematic Review
Lea Marie Pehrson, Jens Petersen, Nathalie Sarup Panduro, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 846-846
Open Access
Lea Marie Pehrson, Jens Petersen, Nathalie Sarup Panduro, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 846-846
Open Access
Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study
Shuaitong Zhang, Siyun Wang, Jie Zhang, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14030-e14030
Open Access | Times Cited: 7
Shuaitong Zhang, Siyun Wang, Jie Zhang, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14030-e14030
Open Access | Times Cited: 7
A Transformer-Guided Cross-Modality Adaptive Feature Fusion Framework for Esophageal Gross Tumor Volume Segmentation
Yaoting Yue, Nan Li, Gaobo Zhang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 251, pp. 108216-108216
Closed Access | Times Cited: 1
Yaoting Yue, Nan Li, Gaobo Zhang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 251, pp. 108216-108216
Closed Access | Times Cited: 1
Deep Learning for Image Analysis in the Diagnosis and Management of Esophageal Cancer
Charalampos Theocharopoulos, Spyridon Davakis, Dimitrios C. Ziogas, et al.
Cancers (2024) Vol. 16, Iss. 19, pp. 3285-3285
Open Access | Times Cited: 1
Charalampos Theocharopoulos, Spyridon Davakis, Dimitrios C. Ziogas, et al.
Cancers (2024) Vol. 16, Iss. 19, pp. 3285-3285
Open Access | Times Cited: 1
Automatic segmentation of esophageal gross tumor volume in 18F-FDG PET/CT images via GloD-LoATUNet
Yaoting Yue, Nan Li, Gaobo Zhang, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107266-107266
Closed Access | Times Cited: 6
Yaoting Yue, Nan Li, Gaobo Zhang, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107266-107266
Closed Access | Times Cited: 6
Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation
Jianhao Geng, Xianggao Zhu, Zhiyan Liu, et al.
Radiation Oncology (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Jianhao Geng, Xianggao Zhu, Zhiyan Liu, et al.
Radiation Oncology (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 3
VolumestJ: A New Method and Tool for Volumetric Estimation of Brain Structures After Serial Sectioning
Elisabete Ferreiro, Noelia Rodríguez-Iglesias, J. M. R. Cardoso, et al.
Neuromethods (2024), pp. 129-176
Closed Access
Elisabete Ferreiro, Noelia Rodríguez-Iglesias, J. M. R. Cardoso, et al.
Neuromethods (2024), pp. 129-176
Closed Access
Comparative analysis of automatic segmentation of esophageal cancer using 3D Res-UNet on conventional and 40-keV virtual mono-energetic CT Images: a retrospective study
Hua Zhong, Anqi Li, Yingdong Chen, et al.
PeerJ (2023) Vol. 11, pp. e15707-e15707
Open Access | Times Cited: 1
Hua Zhong, Anqi Li, Yingdong Chen, et al.
PeerJ (2023) Vol. 11, pp. e15707-e15707
Open Access | Times Cited: 1
VolumesJ: A new method and tool for volumetric estimation of brain structures after serial sectioning
Elisabete Ferreiro, Noelia Rodríguez-Iglesias, João R. Cardoso, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Elisabete Ferreiro, Noelia Rodríguez-Iglesias, João R. Cardoso, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
