January 27, 2017 article Open access Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images EJNMMI Research DOI: 10.1186/s13550-017-0260-9 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 251 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Artificial intelligence for segmentation and classification in lumbar spinal stenosis: an overview of current methods 2025 European Spine Journal article Engineering Medical Imaging and Analysis Open access 12 citations Machine learning classification of mediastinal lymph node metastasis in NSCLC: a multicentre study in a Western European patient population 2022 EJNMMI Physics article Medicine Radiomics and Machine Learning in Medical Imaging Open access 15 citations Nuclear medicine radiomics in precision medicine: why we can't do without artificial intelligence 2020 The Quarterly Journal of Nuclear Medicine and Molecular Imaging article Medicine Radiomics and Machine Learning in Medical Imaging 11 citations 2-[18F]FDG PET/CT radiomics in lung cancer: An overview of the technical aspect and its emerging role in management of the disease 2020 Methods article Medicine Radiomics and Machine Learning in Medical Imaging Open access 43 citations 4 results References 0