Benchmarking Collaborative Learning Methods Cost-Effectiveness for
Prostate Segmentation

Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation

29 September 2023

Lucia Innocenti

Michela Antonelli

Francesco Cremonesi

Alejandro Granados

Sebastien Ourselin

Marco Lorenzi

Papers citing "Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation"

4 / 4 papers shown

Title
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 96 0 0 09 Dec 2024
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications Riccardo Taiello Sergen Cansiz Marc Vesin Francesco Cremonesi Lucia Innocenti Melek Önen Marco Lorenzi 40 0 0 02 Sep 2024
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 169 1,690 0 18 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015