1 citations · 1 across the 3 of their papers we have counts for
4 papers
Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling
Gaurang Sharma, Juha Pajula, Aada Illikainen +4
Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymi…
Cross-Dataset Linkage of Brain MRI using Image Similarity Measures
Gaurang Sharma, Harri Polonen, Juha Pajula +2
Head magnetic resonance imaging (MRI) data are routinely collected and shared for research under strict regulatory frameworks that require the removal of direct identifiers prior t…
Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion
Gaurang Sharma, Elaheh Moradi, Juha Pajula +2
Dementia is a progressive condition that impairs an individual's cognitive health and daily functioning, with mild cognitive impairment (MCI) often serving as its precursor. The pr…
Advanced Assessment of Stroke in Retinal Fundus Imaging with Deep Multi-view Learning
Aysen Degerli, Mika Hilvo, Juha Pajula +2
Stroke is globally a major cause of mortality and morbidity, and hence accurate and rapid diagnosis of stroke is valuable. Retinal fundus imaging reveals the known markers of eleva…