Javier Garcia Ciudad
Modelling electrophysiological features of sleep and the variation induced by differences in species, gender, age, or disease using deep learning
Abstract: The purpose of this project is to expand our...
Jakob Lønborg Christensen
Diffusion Models for Image Segmentation
Abstract: Image segmentation is an important research area that has,...
Christoffer Sejling
New Methods for Functional Data to quantify Clinically Relevant Traits of CGM (Continuous Glucose Monitor) Measurement Patterns and guide Clinical Decision Making
Abstract: Diabetes and prediabetes are increasingly prevalent conditions in modern...
Asbjørn Munk
Toward Theoretically Grounded Domain Adaptation for Brain Image Segmentation
Abstract: This research proposal is a collaboration between the Machine...
Arman Simonyan
New Machine Learning-Driven Approaches for Peptide Hormone and Drug Discovery
Abstract: Two-thirds of human hormones act through ~800 G protein-coupled...
Sijia Feng
Physics-informed machine learning with multi-source satellite data to quantify field-scale N2O emissions for climate-smart agriculture
Abstract: Nitrous oxide (N2O) is a highly important greenhouse gas...