2 citations · 2 across the 4 of their papers we have counts for
4 papers
leaspy: LEArning Spatiotemporal Patterns in PYthon
Juliette Ortholand, Sofia Kaisaridi, Nicolas Gensollen +14
Longitudinal data are fundamental across scientific disciplines for modeling how complex systems evolve over time. A core challenge in these settings is handling temporal misalignm…
A mixture model for subtype identification in the context of disease progression modeling
Sofia Kaisaridi, Juliette Ortholand, Caglayan Tuna +2
The progression of chronic diseases often follows highly variable trajectories, and the underlying factors remain poorly understood. Standard mixed-effects models typically represe…
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
Pascaline André, Charles Heitz, Evangelia Christodoulou +10
Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals…
A joint spatiotemporal model for multiple longitudinal markers and competing events
Juliette Ortholand, Stanley Durrleman, Sophie Tezenas du Montcel
Non-terminal events can represent a meaningful change in a patient's life. Thus, better understanding and predicting their occurrence can bring valuable information to individuals.…