30 citations · 64 across the 5 of their papers we have counts for
6 papers
LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction
Siyao Wang, Florian Guitton, Shuojie Fu +3
Extracting informative representations from longitudinal data that can predict future outcomes remains a critical challenge in medicine. Medical datasets are inherently heterogeneo…
Honest Computing: Achieving demonstrable data lineage and provenance for driving data and process-sensitive policies
Florian Guitton, Axel Oehmichen, Étienne Bossé +1
Data is the foundation of any scientific, industrial or commercial process. Its journey typically flows from collection to transport, storage, management and processing. While best…
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19
Axel Oehmichen, Florian Guitton, Cedric Wahl +3
Epidemiology models play a key role in understanding and responding to the COVID-19 pandemic. In order to build those models, scientists need to understand contributing factors and…
A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust
Nguyen Truong, Gyu Myoung Lee, Kai Sun +2
Blockchain technology has been envisaged to commence an era of decentralised applications and services (DApps) without the need for a trusted intermediary. Such DApps open a market…
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
Nguyen Truong, Kai Sun, Siyao Wang +2
Along with the blooming of AI and Machine Learning-based applications and services, data privacy and security have become a critical challenge. Conventionally, data is collected an…
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
Wenjia Bai, Chen Chen, Giacomo Tarroni +6
In the recent years, convolutional neural networks have transformed the field of medical image analysis due to their capacity to learn discriminative image features for a variety o…