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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:

ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography
B. Berthon, Christopher Marshall, Mererid Evans, et al.
Physics in Medicine and Biology (2016) Vol. 61, Iss. 13, pp. 4855-4869
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211
Mathieu Hatt, John A. Lee, C. Ross Schmidtlein, et al.
Medical Physics (2017) Vol. 44, Iss. 6, pp. e1-e42
Open Access | Times Cited: 188
The first MICCAI challenge on PET tumor segmentation
Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, et al.
Medical Image Analysis (2017) Vol. 44, pp. 177-195
Open Access | Times Cited: 130
Time to Prepare for Risk Adaptation in Lymphoma by Standardizing Measurement of Metabolic Tumor Burden
Sally F. Barrington, Michel Meignan
Journal of Nuclear Medicine (2019) Vol. 60, Iss. 8, pp. 1096-1102
Open Access | Times Cited: 128
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions
Chunfeng Lian, Su Ruan, Thierry Denœux, et al.
IEEE Transactions on Image Processing (2018) Vol. 28, Iss. 2, pp. 755-766
Open Access | Times Cited: 104
Radiomics in Nuclear Medicine Applied to Radiation Therapy: Methods, Pitfalls, and Challenges
Sylvain Reuzé, Antoine Schernberg, Fanny Orlhac, et al.
International Journal of Radiation Oncology*Biology*Physics (2018) Vol. 102, Iss. 4, pp. 1117-1142
Closed Access | Times Cited: 102
Radiomics: Data Are Also Images
Mathieu Hatt, Catherine Cheze Le Rest, Florent Tixier, et al.
Journal of Nuclear Medicine (2019) Vol. 60, Iss. Supplement 2, pp. 38S-44S
Open Access | Times Cited: 98
Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[18F]FDG PET/CT external beam radiation treatment planning in lung cancer V1.0
Sofia C. Vaz, Judit A. Adam, Roberto C. Delgado Bolton, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 4, pp. 1386-1406
Open Access | Times Cited: 38
Positron Emission Tomography (PET)/Computed Tomography (CT) Imaging in Radiation Therapy Treatment Planning: A Review of PET Imaging Tracers and Methods to Incorporate PET/CT
Jacob W. Trotter, Austin R. Pantel, Boon‐Keng Teo, et al.
Advances in Radiation Oncology (2023) Vol. 8, Iss. 5, pp. 101212-101212
Open Access | Times Cited: 24
Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging
P. Whybra, Craig Parkinson, Kieran Foley, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 67
Development and validation of a prognostic model incorporating texture analysis derived from standardised segmentation of PET in patients with oesophageal cancer
Kieran Foley, Robert K. Hills, B. Berthon, et al.
European Radiology (2017) Vol. 28, Iss. 1, pp. 428-436
Open Access | Times Cited: 63
GA-SVM-Based Facial Emotion Recognition Using Facial Geometric Features
Xiao Liu, Xiangyi Cheng, Kiju Lee
IEEE Sensors Journal (2020) Vol. 21, Iss. 10, pp. 11532-11542
Closed Access | Times Cited: 57
The role of PET in the first-line treatment of the most common subtypes of non-Hodgkin lymphoma
Sally F. Barrington, Judith Trotman
The Lancet Haematology (2020) Vol. 8, Iss. 1, pp. e80-e93
Closed Access | Times Cited: 55
Radiomics in PET/CT: Current Status and Future AI-Based Evolutions
Mathieu Hatt, Catherine Cheze Le Rest, Nils Antonorsi, et al.
Seminars in Nuclear Medicine (2020) Vol. 51, Iss. 2, pp. 126-133
Open Access | Times Cited: 47
Head and neck target delineation using a novel PET automatic segmentation algorithm
B. Berthon, Mark D. Evans, Christopher Marshall, et al.
Radiotherapy and Oncology (2017) Vol. 122, Iss. 2, pp. 242-247
Open Access | Times Cited: 44
SPECT image segmentation for estimation of tumour volume and activity concentration in 177Lu-DOTATATE radionuclide therapy
Johan Gustafsson, Anna Sundlöv, Katarina Sjögreen Gleisner
EJNMMI Research (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 37
Toward a standard for the evaluation of PET‐Auto‐Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation
B. Berthon, Emiliano Spezi, P Galavis, et al.
Medical Physics (2017) Vol. 44, Iss. 8, pp. 4098-4111
Open Access | Times Cited: 34
Personalizing Medicine Through Hybrid Imaging and Medical Big Data Analysis
László Papp, Clemens P. Spielvogel, Ivo Rausch, et al.
Frontiers in Physics (2018) Vol. 6
Open Access | Times Cited: 34
Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology
Ian R. Duffy, Amanda J. Boyle, Neil Vasdev
Molecular Imaging (2019) Vol. 18
Open Access | Times Cited: 34
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention
Haochen Mei, Wenhui Lei, Ran Gu, et al.
Neurocomputing (2021) Vol. 438, pp. 211-222
Open Access | Times Cited: 24
Artificial intelligence in radiation oncology: A review of its current status and potential application for the radiotherapy workforce
Craig Parkinson, C. Matthams, Kieran Foley, et al.
Radiography (2021) Vol. 27, pp. S63-S68
Open Access | Times Cited: 21
External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancer
Kieran Foley, Zhenwei Shi, P. Whybra, et al.
Radiotherapy and Oncology (2018) Vol. 133, pp. 205-212
Open Access | Times Cited: 27
Prediction of lymph node metastases using pre-treatment PET radiomics of the primary tumour in esophageal adenocarcinoma: an external validation study
Chong Zhang, Zhenwei Shi, Petros Kalendralis, et al.
British Journal of Radiology (2020) Vol. 94, Iss. 1118
Open Access | Times Cited: 23
Computer Vision in Esophageal Cancer: A Literature Review
Inês Domingues, Inês Lucena Sampaio, Hugo Duarte, et al.
IEEE Access (2019) Vol. 7, pp. 103080-103094
Open Access | Times Cited: 18
Artificial intelligence for molecular neuroimaging
Amanda J. Boyle, Vincent Gaudet, Sandra E. Black, et al.
Annals of Translational Medicine (2021) Vol. 9, Iss. 9, pp. 822-822
Open Access | Times Cited: 15
Interobserver Agreement on Automated Metabolic Tumor Volume Measurements of Deauville Score 4 and 5 Lesions at Interim 18F-FDG PET in Diffuse Large B-Cell Lymphoma
Gerben J. C. Zwezerijnen, Jakoba J. Eertink, Coreline N. Burggraaff, et al.
Journal of Nuclear Medicine (2021) Vol. 62, Iss. 11, pp. 1531-1536
Open Access | Times Cited: 10
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