8 citations · 10 across the 8 of their papers we have counts for
8 papers
Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness
Ioannis Papathanail, Rooholla Poursoleymani, Lubnaa Abdur Rahman +1
Multi-center clinical studies and biomedical research collaborations increasingly seek to utilize data across centers to build models that generalize beyond any single center. This…
Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT
Vasilis Dedousis, Lubnaa Abdur Rahman, Lorenzo Brigatο +8
Accurate segmentation of interstitial lung disease (ILD) patterns is essential for quantitative disease assessment and longitudinal monitoring. However, existing approaches remain…
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
Ethan Dack, Lorenzo Brigato, Vasilis Dedousis +9
Masked autoencoders (MAEs) have emerged as a powerful approach for pre-training on unlabelled data, capable of learning robust and informative feature representations. This is part…
Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation
Lubnaa Abdur Rahman, Ioannis Papathanail, Stavroula Mougiakakou
AI has driven significant progress in the nutrition field, especially through multimedia-based automatic dietary assessment. However, existing automatic dietary assessment systems…
Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment
Maria Panagiotou, Lorenzo Brigato, Vivien Streit +13
Despite recent advances in insulin preparations and technology, adjusting insulin remains an ongoing challenge for the majority of people with type 1 diabetes (T1D) and longstandin…
The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes
Maria Panagiotou, Knut Stroemmen, Lorenzo Brigato +2
The growing worldwide incidence of diabetes requires more effective approaches for managing blood glucose levels. Insulin delivery systems have advanced significantly, with artific…
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato +1
Food recognition models often struggle to distinguish between seen and unseen samples, frequently misclassifying samples from unseen categories by assigning them an in-distribution…
There are no Champions in Supervised Long-Term Time Series Forecasting
Lorenzo Brigato, Rafael Morand, Knut Strømmen +3
Recent advances in long-term time series forecasting have introduced numerous complex supervised prediction models that consistently outperform previously published architectures.…