1. Visual explanations from deep 3d convolutional neural net-works for alzheimer's disease classification;yang;AMIA annual symposium proceedings volume 2018 page 1571 American Medical Informatics Association,2018
2. Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology
3. Early convolutions help trans-formers see better;xiao;ArXiv Preprint,2021
4. Teds-net: Enforcing diffeomor-phisms in spatial transformers to guarantee topology preser-vation in segmentations;wyburd;International Conference on Medical Image Computing and Computer-Assisted Intervention,0
5. Barlow twins: Self-supervised learning via redundancy reduction;zbontar;ArXiv Preprint,2021