research
∙
07/06/2023
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications
Generative Adversarial Networks (GANs) have demonstrated their ability t...
share
research
∙
05/05/2023
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning
Humans can learn incrementally, whereas neural networks forget previousl...
research
∙
01/11/2023
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation
Video saliency prediction has recently attracted attention of the resear...
research
∙
06/21/2022
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Pa...
research
∙
06/20/2022
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis
In the medical field, multi-center collaborations are often sought to yi...
research
∙
06/03/2022
Effects of Auxiliary Knowledge on Continual Learning
In Continual Learning (CL), a neural network is trained on a stream of d...
research
∙
06/01/2022
Transfer without Forgetting
This work investigates the entanglement between Continual Learning (CL) ...
research
∙
09/03/2021
Hierarchical 3D Feature Learning for Pancreas Segmentation
We propose a novel 3D fully convolutional deep network for automated pan...
research
∙
10/02/2020
