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For: Sollini M, Bartoli F, Marciano A, Zanca R, Slart RHJA, Erba PA. Artificial intelligence and hybrid imaging: the best match for personalized medicine in oncology. Eur J Hybrid Imaging 2020;4:24. [PMID: 34191197 DOI: 10.1186/s41824-020-00094-8] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis]
Number Citing Articles
1 Feuerecker B, Heimer MM, Geyer T, Fabritius MP, Gu S, Schachtner B, Beyer L, Ricke J, Gatidis S, Ingrisch M, Cyran CC. Artificial Intelligence in Oncological Hybrid Imaging. Rofo 2023;195:105-14. [PMID: 36170852 DOI: 10.1055/a-1909-7013] [Reference Citation Analysis]
2 Cavinato L, Sollini M, Ragni A, Bartoli F, Zanca R, Pasqualetti F, Marciano A, Ieva F, Erba PA. Radiomics-Based Inter-Lesion Relation Network to Describe [(18)F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer. Cancers (Basel) 2023;15. [PMID: 36765781 DOI: 10.3390/cancers15030823] [Reference Citation Analysis]
3 Ruiz RB, Velásquez JD. Artificial Intelligence for the Future of Medicine. Intelligent Systems Reference Library 2023. [DOI: 10.1007/978-3-031-11170-9_1] [Reference Citation Analysis]
4 Ge G, Zhang J. Feature selection methods and predictive models in CT lung cancer radiomics. J Appl Clin Med Phys 2023;24:e13869. [PMID: 36527376 DOI: 10.1002/acm2.13869] [Reference Citation Analysis]
5 Cellina M, Cè M, Khenkina N, Sinichich P, Cervelli M, Poggi V, Boemi S, Ierardi AM, Carrafiello G. Artificial Intellgence in the Era of Precision Oncological Imaging. Technol Cancer Res Treat 2022;21:15330338221141793. [PMID: 36426565 DOI: 10.1177/15330338221141793] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Gozzi N, Giacomello E, Sollini M, Kirienko M, Ammirabile A, Lanzi P, Loiacono D, Chiti A. Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs. Diagnostics 2022;12:2084. [DOI: 10.3390/diagnostics12092084] [Reference Citation Analysis]
7 Santos DF, Takahashi ME, Camacho M, de Lima MDCL, Amorim BJ, Rohren EM, Etchebehere E. Whole-body tumor burden in PET/CT expert review. Clin Transl Imaging 2022;11:5-22. [DOI: 10.1007/s40336-022-00517-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Hirata K, Sugimori H, Fujima N, Toyonaga T, Kudo K. Artificial intelligence for nuclear medicine in oncology. Ann Nucl Med 2022. [PMID: 35028877 DOI: 10.1007/s12149-021-01693-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
9 Fiz F, Iori M, Fioroni F, Biroli M, D’agostino GR, Gelardi F, Erba PA, Versari A, Chiti A, Sollini M. Molecular Guidance for Planning External Beam Radiation Therapy in Oncology. Nuclear Oncology 2022. [DOI: 10.1007/978-3-319-26067-9_91-2] [Reference Citation Analysis]
10 Bell A, Siddiqui S. Imaging of eosinophilic lung disease. Eosinophilic Lung Diseases 2022. [DOI: 10.1183/2312508x.10030320] [Reference Citation Analysis]
11 Fiz F, Iori M, Fioroni F, Biroli M, D’agostino GR, Gelardi F, Erba PA, Versari A, Chiti A, Sollini M. Molecular Guidance for Planning External Beam Radiation Therapy in Oncology. Nuclear Oncology 2022. [DOI: 10.1007/978-3-319-26067-9_91-1] [Reference Citation Analysis]
12 Sollini M, Bartoli F, Cavinato L, Ieva F, Ragni A, Marciano A, Zanca R, Galli L, Paiar F, Pasqualetti F, Erba PA. [18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer. EJNMMI Res 2021;11:119. [PMID: 34837532 DOI: 10.1186/s13550-021-00858-8] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
13 Markovitz MA, Lu S, Viswanadhan NA. Role of 3D Printing and Modeling to Aid in Neuroradiology Education for Medical Trainees. Fed Pract 2021;38:256-60. [PMID: 34733071 DOI: 10.12788/fp.0134] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Erle A, Moazemi S, Lütje S, Essler M, Schultz T, Bundschuh RA. Evaluating a Machine Learning Tool for the Classification of Pathological Uptake in Whole-Body PSMA-PET-CT Scans. Tomography 2021;7:301-12. [PMID: 34449727 DOI: 10.3390/tomography7030027] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
15 Saheb T, Saheb T, Carpenter DO. Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis. Comput Biol Med 2021;135:104660. [PMID: 34346319 DOI: 10.1016/j.compbiomed.2021.104660] [Cited by in Crossref: 12] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]