Search Results for author:
Found 6 papers, 4 papers with code
Continual atlas-based segmentation of prostate MRI
Continual learning (CL) methods designed for natural image classification often fail to reach basic quality standards for medical image segmentation.
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
Access to the proper infrastructure is critical when performing medical image segmentation with Deep Learning.
Continual Hippocampus Segmentation with Transformers
Our evaluation on hippocampus segmentation shows that Transformer mechanisms mitigate catastrophic forgetting for medical image segmentation compared to purely convolutional architectures, and demonstrates that regularising ViT modules should be done with caution.
Improving robustness and calibration in ensembles with diversity regularization
Calibration and uncertainty estimation are crucial topics in high-risk environments.
Disentanglement enables cross-domain Hippocampus Segmentation
This separation enables us to perform a domain transfer and thus convert data from new sources into the training domain.
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and clinical communities.
