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Scientific Reports|January 22, 2024
Robustness and reproducibility for AI learning in biomedical sciences: RENOIRAlessandro Barberis, Hugo J W L Aerts, Francesca M BuffaBioinformatics Advances|March 9, 2026
Sigscores: summary scores for molecular signatures in RAlessandro Barberis, Francesca M BuffaJAMA Oncology|August 20, 2016
The Potential of Radiomic-Based Phenotyping in Precision Medicine: A ReviewHugo J W L AertsClinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 4, 2017
Data Science in Radiology: A Path ForwardHugo J W L AertsPhysics in Medicine and Biology|June 9, 2016
Applications and limitations of radiomicsStephen S F Yip, Hugo J W L AertsCell Death & Disease|January 11, 2024
Antitumour effect of the mitochondrial complex III inhibitor Atovaquone in combination with anti-PD-L1 therapy in mouse cancer modelsGonzalo Rodriguez-Berriguete, Rathi Puliyadi, Nicole Machado, et al.Nature Protocols|April 12, 2019
Guidelines for using sigQC for systematic evaluation of gene signaturesAndrew Dhawan, Alessandro Barberis, Wei-Chen Cheng, et al.Iscience|December 4, 2023
A machine learning and directed network optimization approach to uncover <i>TP53</i> regulatory patternsCharalampos P Triantafyllidis, Alessandro Barberis, Fiona Hartley, et al.Physics in Medicine and Biology|August 11, 2011
The precision of pharmacokinetic parameters in dynamic contrast-enhanced magnetic resonance imaging: the effect of sampling frequency and durationHugo J W L Aerts, K Jaspers, Walter H BackesCancer Cell|April 30, 2021
Artificial intelligence for clinical oncologyBenjamin H Kann, Ahmed Hosny, Hugo J W L AertsPageof 31