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20172023
most citedDisease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation

142 citations · 222 across the 15 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2023★ 1 cited

Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation

Lucia Innocenti, Michela Antonelli, Francesco Cremonesi +5

Healthcare data is often split into medium/small-sized collections across multiple hospitals and access to it is encumbered by privacy regulations. This brings difficulties to use…

cs.LG2023

Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows

Etrit Haxholli, Marco Lorenzi

While the neural ODE formulation of normalizing flows such as in FFJORD enables us to calculate the determinants of free form Jacobians in O(D) time, the flexibility of the transfo…

cs.LG2023

Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching

Etrit Haxholli, Marco Lorenzi

In Diffusion Probabilistic Models (DPMs), the task of modeling the score evolution via a single time-dependent neural network necessitates extended training periods and may potenti…

cs.LG2020★ 1 cited

Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets

Jaume Banus, Maxime Sermesant, Oscar Camara +1

The use of mechanistic models in clinical studies is limited by the lack of multi-modal patients data representing different anatomical and physiological processes. For example, ne…

cs.LG2019

Disease Knowledge Transfer across Neurodegenerative Diseases

Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg +8

We introduce Disease Knowledge Transfer (DKT), a novel technique for transferring biomarker information between related neurodegenerative diseases. DKT infers robust multimodal bio…