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OpenAlex Citation Counts

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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:

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, et al.
Medical Image Analysis (2021) Vol. 77, pp. 102336-102336
Open Access | Times Cited: 150

Showing 26-50 of 150 citing articles:

Filters, Thresholds, and Geodesic Distances for Scribble-Based Interactive Segmentation of Medical Images
Zdravko Marinov, Alexander Jaus, Jens Kleesiek, et al.
Lecture notes in computer science (2025), pp. 39-56
Closed Access
Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images
Zdravko Marinov, Alexander Jaus, Jens Kleesiek, et al.
Lecture notes in computer science (2025), pp. 101-125
Closed Access
Application of 3D nnU-Net with Residual Encoder in the 2024 MICCAI Head and Neck Tumor Segmentation Challenge
Kaiyuan Ji, Zhihan Wu, Jing Han, et al.
Lecture notes in computer science (2025), pp. 250-258
Open Access
Enhancing Head and Neck Tumor Segmentation in MRI: The Impact of Image Preprocessing and Model Ensembling
Mehdi Astaraki, Iuliana Toma‐Dasu
Lecture notes in computer science (2025), pp. 112-122
Open Access
Enhanced nnU-Net Architectures for Automated MRI Segmentation of Head and Neck Tumors in Adaptive Radiation Therapy
Jessica Kächele, Maximilian Zenk, Maximilian Rokuss, et al.
Lecture notes in computer science (2025), pp. 50-64
Open Access
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images
Mohamed A. Naser, Kareem A. Wahid, Lisanne V. van Dijk, et al.
Lecture notes in computer science (2022), pp. 121-133
Open Access | Times Cited: 22
Artificial Intelligence for Radiation Oncology Applications Using Public Datasets
Kareem A. Wahid, Enrico Glerean, Jaakko Sahlsten, et al.
Seminars in Radiation Oncology (2022) Vol. 32, Iss. 4, pp. 400-414
Open Access | Times Cited: 22
Semi-supervised 3D-InceptionNet for segmentation and survival prediction of head and neck primary cancers
Abdul Qayyum, Moona Mazher, Tariq Khan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105590-105590
Closed Access | Times Cited: 22
Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report
Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, et al.
Lecture notes in computer science (2023), pp. 31-37
Closed Access | Times Cited: 15
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer
Mingyuan Meng, Lei Bi, Dagan Feng, et al.
Lecture notes in computer science (2023), pp. 135-143
Closed Access | Times Cited: 14
Multi-institutional PET/CT image segmentation using federated deep transformer learning
Isaac Shiri, Behrooz Razeghi, Alireza Vafaei Sadr, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107706-107706
Open Access | Times Cited: 14
Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information
Heleen Bollen, Siri Willems, M. Wegge, et al.
Radiotherapy and Oncology (2023) Vol. 182, pp. 109574-109574
Open Access | Times Cited: 13
AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism
Ibtihaj Ahmad, Yong Xia, Hengfei Cui, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106748-106748
Closed Access | Times Cited: 13
From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics
Zohaib Salahuddin, Yi Chen, Xian Zhong, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 1932-1932
Open Access | Times Cited: 13
Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT
Louis Rebaud, Thibault Escobar, Fahad Khalid, et al.
Lecture notes in computer science (2023), pp. 121-134
Closed Access | Times Cited: 12
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data
Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, et al.
Lecture notes in computer science (2022), pp. 278-286
Closed Access | Times Cited: 20
The Head and Neck Tumor Segmentation Based on 3D U-Net
Juanying Xie, Ying Peng
Lecture notes in computer science (2022), pp. 92-98
Closed Access | Times Cited: 20
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation
Zhongxi Qiu, Yan Hu, Xiaoshan Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 451-464
Open Access | Times Cited: 11
Head and Neck Primary Tumor and Lymph Node Auto-segmentation for PET/CT Scans
Arnav Jain, Julia Huang, Yashwanth Ravipati, et al.
Lecture notes in computer science (2023), pp. 61-69
Closed Access | Times Cited: 10
Need for Objective Task-Based Evaluation of Image Segmentation Algorithms for Quantitative PET: A Study with ACRIN 6668/RTOG 0235 Multicenter Clinical Trial Data
Ziping Liu, Joyce Mhlanga, Huitian Xia, et al.
Journal of Nuclear Medicine (2024) Vol. 65, Iss. 3, pp. 485-492
Open Access | Times Cited: 3
Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data
Mohamed A. Naser, Kareem A. Wahid, Abdallah Mohamed, et al.
Lecture notes in computer science (2022), pp. 287-299
Open Access | Times Cited: 17
TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction
Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, et al.
Lecture notes in computer science (2022), pp. 319-329
Closed Access | Times Cited: 17
Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers
Kai Wang, Yunxiang Li, Michael Dohopolski, et al.
Lecture notes in computer science (2023), pp. 144-153
Closed Access | Times Cited: 10
Role of PET/CT in Oropharyngeal Cancers
Emily W. Avery, Kavita Joshi, Saral Mehra, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2651-2651
Open Access | Times Cited: 9
Making sense of radiomics: insights on human–AI collaboration in medical interaction from an observational user study
Jakub Mlynář, Adrien Depeursinge, John O. Prior, et al.
Frontiers in Communication (2024) Vol. 8
Open Access | Times Cited: 3

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