3 papers
stat.ME2026
PAR2COX: Survival-Informed Tensor Decomposition for Phenotyping and Risk Prediction from Irregular Longitudinal Data
Mariafrancesca Patalano, Elif Konyar, Kamran Paynabar
Accurate risk prediction is crucial for clinical-decision making, intervention planning, treatment and transplant allocation. However, longitudinal clinical data are often irregula…
cs.CV2026
Simultaneous Monitoring of Shape and Surface Color via 4D Point Clouds: A Registration-free Approach
Mariafrancesca Patalano, Giovanna Capizzi, Kamran Paynabar
Advanced manufacturing technologies allow for the production of intricate parts featuring high shape complexity and spatially-varying material composition. Data fusion of point clo…
cs.CV2025
Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties
Mariafrancesca Patalano, Giovanna Capizzi, Kamran Paynabar
Modern sensing technologies have enabled the collection of unstructured point cloud data (PCD) of varying sizes, which are used to monitor the geometric accuracy of 3D objects. PCD…