469 citations · 1k across the 24 of their papers we have counts for
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cs.CV2020★ 1 cited
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization
Mara Graziani, Sebastian Otalora, Stephane Marchand-Maillet +2
Adopting Convolutional Neural Networks (CNNs) in the daily routine of primary diagnosis requires not only near-perfect precision, but also a sufficient degree of generalization to…
eess.IV2020★ 30 cited
Standardised convolutional filtering for radiomics
Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra +5
The Image Biomarker Standardisation Initiative (IBSI) aims to improve reproducibility of radiomics studies by standardising the computational process of extracting image biomarkers…