4 citations · 7 across the 3 of their papers we have counts for
3 papers
Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language
Michelle Stegeman, Lena Philipp, Fennie van der Graaf +20
Foundation models are changing the way we develop medical artificial intelligence. By learning broadly generalizable features across diverse data modalities, a single model can be…
Minimizing communication in the multidimensional FFT
Thomas Koopman, Rob H. Bisseling
We present a parallel algorithm for the fast Fourier transform (FFT) in higher dimensions. This algorithm generalizes the cyclic-to-cyclic one-dimensional parallel algorithm to a c…
Stable prediction with radiomics data
Carel F. W. Peeters, Caroline Übelhör, Steven W. Mes +9
Motivation: Radiomics refers to the high-throughput mining of quantitative features from radiographic images. It is a promising field in that it may provide a non-invasive solution…