Daniel Rueckert

Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

2020 · arXiv (Cornell University)

Few-shot semantic segmentation (FSS) has great potential for medical imaging applications. Most of the existing FSS techniques require abundant annotated semantic classes for training. However, these methods may not be applicable for medical images due …

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning

2022 · arXiv (Cornell University)

Normalization is an important but understudied challenge in privacy-related application domains such as federated learning (FL), differential privacy (DP), and differentially private federated learning (DP-FL). While the unsuitability of batch normalization for these domains has …