510 citations · 998 across the 19 of their papers we have counts for
3 papers · 1 filter
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer, Tassilo Klein, Moin Nabi
Federated learning is a recent advance in privacy protection. In this context, a trusted curator aggregates parameters optimized in decentralized fashion by multiple clients. The r…
A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data
Benjamín Gutiérrez, Loïc Peter, Tassilo Klein +1
With the availability of big medical image data, the selection of an adequate training set is becoming more important to address the heterogeneity of different datasets. Simply inc…
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger, Martin Reuter, Tassilo Klein
We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is an end-to-end learn…