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08/22/2023
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer
We address the problem of learning Deep Learning Radiomics (DLR) that ar...
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10/21/2022
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection
We propose a scalable and data-driven approach to learn shape distributi...
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02/28/2019
Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data
We introduce a probabilistic generative model for disentangling spatio-t...
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08/20/2018
