Explainable artificial intelligence model to predict acute critical illness from electronic health records. - Simon Meyer Lauritsen; Mads Kristensen; Mathias Vassard Olsen; Morten Skaarup Larsen; Katrine Meyer Lauritsen; Marianne Johansson Jørgensen; Jeppe Lange; Bo Thiesson (CoRR, 2019)

DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping. - Steffen Bollmann; Kasper Gade Bøtker Rasmussen; Mads Kristensen; Rasmus Guldhammer Blendal; Lasse Riis Østergaard; Maciej Plocharski; Kieran O'Brien; Christian Langkammer; Andrew L. Janke; Markus Barth (NeuroImage, 2019)