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Distributed, Collaborative, and Federated Learning
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Can collaborative learning be private, robust and scalable?
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
Joint Multi Organ and Tumor Segmentation from Partial Labels using Federated Learning
Fuh, Kensaku Mori, Weichung Wang, Holger R Roth GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging
A Specificity-Preserving Generative Model for Federated MRI Translation
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana
Towards Sparsified Federated Neuroimaging Models via Weight Pruning
Affordable AI and Healthcare
Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection
Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks
LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network.
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Can collaborative learning be private, robust and scalable?
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
Joint Multi Organ and Tumor Segmentation from Partial Labels using Federated Learning
Fuh, Kensaku Mori, Weichung Wang, Holger R Roth GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging
A Specificity-Preserving Generative Model for Federated MRI Translation
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana
Towards Sparsified Federated Neuroimaging Models via Weight Pruning
Affordable AI and Healthcare
Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection
Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks
LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network.