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:

Baseline 18F-FDG PET radiomic features as predictors of 2-year event-free survival in diffuse large B cell lymphomas treated with immunochemotherapy
Nicolas Aide, Christophe Fruchart, Catherine Nganoa, et al.
European Radiology (2020) Vol. 30, Iss. 8, pp. 4623-4632
Closed Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma
Jakoba J. Eertink, Tim van de Brug, Sanne E. Wiegers, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 49, Iss. 3, pp. 932-942
Open Access | Times Cited: 93
Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review
Russell Frood, Christopher Burton, Charalampos Tsoumpas, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 10, pp. 3198-3220
Open Access | Times Cited: 65
Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
Laurent Dercle, Jeremy McGale, Shawn Sun, et al.
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 9, pp. e005292-e005292
Open Access | Times Cited: 58
PET/CT in Non-Hodgkin Lymphoma: An Update
Lucia Zanoni, Davide Bezzi, Cristina Nanni, et al.
Seminars in Nuclear Medicine (2022) Vol. 53, Iss. 3, pp. 320-351
Closed Access | Times Cited: 42
Baseline PET radiomics outperform the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma
Jakoba J. Eertink, Gerben J. C. Zwezerijnen, Martijn W. Heymans, et al.
Blood (2023)
Open Access | Times Cited: 23
A Systematic Review of PET Textural Analysis and Radiomics in Cancer
Manuel Piñeiro-Fiel, Alexis Moscoso, Virginia Pubul, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 380-380
Open Access | Times Cited: 47
Optimal PET-based radiomic signature construction based on the cross-combination method for predicting the survival of patients with diffuse large B-cell lymphoma
Chong Jiang, Ang Li, Yue Teng, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 8, pp. 2902-2916
Closed Access | Times Cited: 28
An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients
Maria C. Ferrández, Sandeep S.V. Golla, Jakoba J. Eertink, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
Integrating Artificial Intelligence and PET Imaging for Drug Discovery: A Paradigm Shift in Immunotherapy
Jeremy McGale, Harrison J. Howell, Arnaud Beddok, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 2, pp. 210-210
Open Access | Times Cited: 6
Artificial intelligence in immunotherapy PET/SPECT imaging
Jeremy McGale, Delphine L. Chen, Stefano Trebeschi, et al.
European Radiology (2024) Vol. 34, Iss. 9, pp. 5829-5841
Closed Access | Times Cited: 6
The Future of Cancer Diagnosis, Treatment and Surveillance: A Systemic Review on Immunotherapy and Immuno-PET Radiotracers
Virginia Liberini, Riccardo Laudicella, Martina Capozza, et al.
Molecules (2021) Vol. 26, Iss. 8, pp. 2201-2201
Open Access | Times Cited: 36
Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications
Damiano Caruso, Michela Polici, Marta Zerunian, et al.
Cancers (2021) Vol. 13, Iss. 11, pp. 2681-2681
Open Access | Times Cited: 34
Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features
Jakoba J. Eertink, Gerben J. C. Zwezerijnen, Matthijs C. F. Cysouw, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 13, pp. 4642-4651
Open Access | Times Cited: 25
Role of Radiomics-Based Baseline PET/CT Imaging in Lymphoma: Diagnosis, Prognosis, and Response Assessment
Han Jiang, Ang Li, Zhong-You Ji, et al.
Molecular Imaging and Biology (2022) Vol. 24, Iss. 4, pp. 537-549
Closed Access | Times Cited: 24
Prognostic Value of Baseline Radiomic Features of 18F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma
Kun‐Han Lue, Yi‐Feng Wu, Hsin‐Hon Lin, et al.
Diagnostics (2020) Vol. 11, Iss. 1, pp. 36-36
Open Access | Times Cited: 36
FDG-PET/CT in Lymphoma: Where Do We Go Now?
Yassine Al Tabaa, Clément Bailly, Salim Kanoun
Cancers (2021) Vol. 13, Iss. 20, pp. 5222-5222
Open Access | Times Cited: 29
Artificial Intelligence in Lymphoma PET Imaging
Navid Hasani, Sriram S. Paravastu, Faraz Farhadi, et al.
PET Clinics (2021) Vol. 17, Iss. 1, pp. 145-174
Open Access | Times Cited: 28
A novel analytic approach for outcome prediction in diffuse large B-cell lymphoma by [18F]FDG PET/CT
Xiaohui Zhang, Lin Chen, Han Jiang, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 49, Iss. 4, pp. 1298-1310
Open Access | Times Cited: 27
Prognostic Value of18F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study
Thomas Carlier, Gauthier Frécon, Diana Mateus, et al.
Journal of Nuclear Medicine (2023) Vol. 65, Iss. 1, pp. 156-162
Open Access | Times Cited: 11
Multi-Modal Data Fused 3d Neural Network Shows Good Predictive Ability in Recurrence of Complete Response Diffuse Large B-Cell Lymphoma within 5 Years
Ying Zhang, Siwen Wang, Xiaoyue Tan, et al.
(2025)
Closed Access
Feasibility analysis of metabolic parameters based on baseline 18 F-FDG PET/CT to predict heterogeneity and recurrence of diffuse large B-cell lymphoma
Fan Ge, Tingting Wu, Xinyue Yang, et al.
Research Square (Research Square) (2025)
Closed Access
Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter?
Jakoba J. Eertink, Elisabeth Pfaehler, Sanne E. Wiegers, et al.
Journal of Nuclear Medicine (2021) Vol. 63, Iss. 3, pp. 389-395
Open Access | Times Cited: 27
Semiquantitative 2-[18F]FDG PET/CT-based parameters role in lymphoma
Domenico Albano, Marco Ravanelli, Rexhep Durmo, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 3
Functional imaging using radiomic features in assessment of lymphoma
Marius E. Mayerhoefer, Lale Umutlu, Heiko Schöder
Methods (2020) Vol. 188, pp. 105-111
Open Access | Times Cited: 24
Baseline 18F-FDG PET textural features as predictors of response to chemotherapy in diffuse large B-cell lymphoma
Nazım Coşkun, Berna Okudan, Doğan Uncu, et al.
Nuclear Medicine Communications (2021) Vol. 42, Iss. 11, pp. 1227-1232
Closed Access | Times Cited: 22
Page 1 - Next Page

Scroll to top