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Frontiers in Oncology|October 23, 2023
Can we predict discordant RECIST 1.1 evaluations in double read clinical trials?Hubert Beaumont, Antoine IannessiFrontiers in Oncology|April 3, 2023
Breaking down the RECIST 1.1 double read variability in lung trials: What do baseline assessments tell us?Antoine Iannessi, Hubert BeaumontInsights Into Imaging|June 16, 2021
Letter to the editor: "Not all biases are bad: equitable and inequitable biases in machine learning and radiology"Antoine Iannessi, Hubert Beaumont, Anne Sophie BertrandEuropean Radiology|February 25, 2018
How reliable are ADC measurements? A phantom and clinical study of cervical lymph nodesBastien Moreau, Antoine Iannessi, Christopher Hoog, et al.Scientific Reports|May 11, 2026
Technical performance of L3 skeletal muscle area (SMA) measurement on CT for L3 skeletal muscle index (L3SMI) assessmentHubert Beaumont, Emilie Khayat, Alexandre Thinnes, et al.Insights Into Imaging|March 19, 2021
RECIST 1.1 and lesion selection: How to deal with ambiguity at baseline?Antoine Iannessi, Hubert Beaumont, Yan Liu, et al.Frontiers in Oncology|March 25, 2026
Dual-modality CAD for breast cancer screening: dealing with discordant diagnosis between mammography and tomographyHubert Beaumont, Antoine Iannessi, Thomas Louis, et al.Frontiers in Oncology|October 21, 2024
The ins and outs of errors in oncology imaging: the DAC framework for radiologistsAntoine Iannessi, Hubert Beaumont, Carlos Aguillera, et al.Cancers|February 13, 2025
Radiomics-Based Prediction of Treatment Response to TRuC-T Cell Therapy in Patients with Mesothelioma: A Pilot StudyHubert Beaumont, Antoine Iannessi, Alexandre Thinnes, et al.Plos One|February 15, 2018
Computer tomography-based body surface area evaluation for drug dosage: Quantitative radiology versus anthropomorphic evaluationAntoine Iannessi, Hubert Beaumont, Christophe Hebert, et al.Pageof 3