Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists

1 code implementation • 24 Nov 2022 • Sophie Ostmeier, Brian Axelrod, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Li-Jia Li, Greg Zaharchuk, Soren Christensen, Jeremy J. Heit

Conclusion: The 3d CNN trained on one neuroradiologist generalizes to acute ischemic stroke segmentation on NCCT of other neuroradiologists.

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

1 code implementation • 26 Sep 2022 • Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit

We study how uncertain, small, and empty reference annotations influence the value of metrics for medical image segmentation on an in-house data set regardless of the model.

Image Segmentation Medical Image Segmentation +1

Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study

no code implementations • 24 Jun 2020 • Alejandro Ungría Hirte, Moritz Platscher, Thomas Joyce, Jeremy J. Heit, Eric Tranvinh, Christian Federau

We show that high quality, diverse and realistic-looking diffusion-weighted magnetic resonance images can be synthesized using deep generative models.

Data Augmentation