March 20, 2021 article Open access Predicting outcomes in anal cancer patients using multi-centre data and distributed learning – A proof-of-concept study Radiotherapy and Oncology DOI: 10.1016/j.radonc.2021.03.013 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 32 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 An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancer 2026 Nature Communications article Medicine Colorectal and Anal Carcinomas Open access 2 citations Federated Learning with Real-World Data: An International Multi-Centre Study to Develop and Validate Prognostic Models for Anal Cancer 2024 SSRN Electronic Journal preprint Medicine Colorectal and Anal Carcinomas Open access 0 citations Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study 2022 Diagnostic and Prognostic Research article Medicine Colorectal and Anal Carcinomas Open access 8 citations 3 results References 0