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Expert trained AI-models as a paradigm shift for disseminating radiotherapy contouring guidelines: The EPTN consensus atlas for CT- and MR-based neuro-oncology contouring

Number of pages: 11 Posted: 12 Mar 2026

A. Barragán Montero, Margerie Huet-Dastarac, Dario Di Perri, David Hofstede, Nikolina Elsa Birimac, Matijs Geerts, Benjamin Roberfroid, Emilien Quéré, John Aldo Lee, Erik Roelofs, Wouter van Elmpt, Danielle Eekers and Catharina M.L Zegers

UCLouvain, UCLouvain, UCLouvain, Maastricht University, Maastricht University, UCLouvain, UCLouvain, UCLouvain, UCLouvain, Department of Radiation Oncology (MAASTRO), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht University, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre and Maastricht University

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Emilien Quéré

UCLouvain

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Scholarly Papers (1)

Expert trained AI-models as a paradigm shift for disseminating radiotherapy contouring guidelines: The EPTN consensus atlas for CT- and MR-based neuro-oncology contouring

Abstract: