Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study. - Alejandro Ungría Hirte; Moritz Platscher; Thomas Joyce; Jeremy J. Heit; Eric Tranvinh; Christian Federau (CoRR, 2020)

Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations. - Sophie Ostmeier; Brian Axelrod; Jeroen Bertels; Fabian Isensee; Maarten G. Lansberg; Soren Christensen; Gregory W. Albers; Li-Jia Li 001; Jeremy J. Heit (CoRR, 2022)

Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists. - Sophie Ostmeier; Jeremy J. Heit; Brian Axelrod; Li-Jia Li 001; Greg Zaharchuk; Benjamin F. J. Verhaaren; Abdelkader Mahammedi; Soren Christensen; Maarten G. Lansberg (CoRR, 2022)

Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT. - Sophie Ostmeier; Brian Axelrod; Benjamin Pulli; Benjamin F. J. Verhaaren; Abdelkader Mahammedi; Yongkai Liu; Christian Federau; Greg Zaharchuk; Jeremy J. Heit (CoRR, 2023)

USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. - Sophie Ostmeier; Brian Axelrod; Fabian Isensee; Jeroen Bertels; Michael Mlynash; Soren Christensen; Maarten G. Lansberg; Gregory W. Albers; Rajen Sheth; Benjamin F. J. Verhaaren; Abdelkader Mahammedi; Li-Jia Li 001; et al. (Medical Image Anal., 2023)