Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 1-25 of 150 citing articles:

DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation
Qing Xu, Zhicheng Ma, He Na, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106626-106626
Open Access | Times Cited: 197
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li, Junyu Chen, Yucheng Tang, et al.
Medical Image Analysis (2023) Vol. 85, pp. 102762-102762
Open Access | Times Cited: 181
Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation
Rushi Jiao, Yichi Zhang, Le Ding, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107840-107840
Open Access | Times Cited: 115
A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions
Sergios Gatidis, Tobias Hepp, Marcel Früh, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 111
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge
Jun Ma, Yao Zhang, Song Gu, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102616-102616
Closed Access | Times Cited: 101
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, et al.
Lecture notes in computer science (2022), pp. 1-37
Closed Access | Times Cited: 80
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Mathieu Hatt, Aron K. Krizsan, Arman Rahmim, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 50, Iss. 2, pp. 352-375
Open Access | Times Cited: 78
Synthetic data as an enabler for machine learning applications in medicine
Jean-François Rajotte, Robert V. Bergen, David L. Buckeridge, et al.
iScience (2022) Vol. 25, Iss. 11, pp. 105331-105331
Open Access | Times Cited: 67
Current and Emerging Trends in Medical Image Segmentation With Deep Learning
Pierre-Henri Conze, Gustavo Andrade-Miranda, Vivek Kumar Singh, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2023) Vol. 7, Iss. 6, pp. 545-569
Open Access | Times Cited: 53
Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?
Hana Baroudi, Kristy K. Brock, Wenhua Cao, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 667-667
Open Access | Times Cited: 47
DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images
Bo Qian, Hao Chen, Xiangning Wang, et al.
Patterns (2024) Vol. 5, Iss. 3, pp. 100929-100929
Open Access | Times Cited: 42
SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Xiangde Luo, Jia Fu, Yunxin Zhong, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103447-103447
Open Access | Times Cited: 1
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT
Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, et al.
Lecture notes in computer science (2023), pp. 1-30
Closed Access | Times Cited: 38
A Review of the Metrics Used to Assess Auto-Contouring Systems in Radiotherapy
K. Mackay, D. Bernstein, Ben Glocker, et al.
Clinical Oncology (2023) Vol. 35, Iss. 6, pp. 354-369
Open Access | Times Cited: 36
Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial
Benjamin H. Kann, Jirapat Likitlersuang, Dennis Bontempi, et al.
The Lancet Digital Health (2023) Vol. 5, Iss. 6, pp. e360-e369
Open Access | Times Cited: 31
The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging
Sergios Gatidis, Marcel Früh, Matthias P. Fabritius, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 30
Auto-segmentation of head and neck tumors in positron emission tomography images using non-local means and morphological frameworks
Sahel Heydarheydari, Mohammad Javad Tahmasebi Birgani, Seyed Masoud Rezaeijo
Polish Journal of Radiology (2023) Vol. 88, pp. 365-370
Open Access | Times Cited: 29
Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images
Yiling Wang, Elia Lombardo, Lili Huang, et al.
Radiation Oncology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 9
A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation
Qi Zhang, Yinglu Liang, Yi Zhang, et al.
International Journal of Medical Informatics (2023) Vol. 171, pp. 104984-104984
Closed Access | Times Cited: 20
Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images
Alessia de Biase, Nanna M. Sijtsema, Lisanne V. van Dijk, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 5, pp. 055013-055013
Open Access | Times Cited: 20
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology
Gustavo Andrade-Miranda, Vincent Jaouen, Olena Tankyevych, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102308-102308
Closed Access | Times Cited: 20
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102972-102972
Open Access | Times Cited: 16
The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods
Seyyed Ali Hosseini, Isaac Shiri, Pardis Ghaffarian, et al.
Annals of Nuclear Medicine (2024) Vol. 38, Iss. 7, pp. 493-507
Open Access | Times Cited: 6
Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors
Sambit Tarai, Elin Lundström, Therese Sjöholm, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26414-e26414
Open Access | Times Cited: 5
Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge
Kareem A. Wahid, Cem Dede, Dina El-Habashy, et al.
Lecture notes in computer science (2025), pp. 1-35
Open Access
Page 1 - Next Page

Scroll to top