Blar i Faculty of Mathematics and Natural Sciences på emneord "deep learning"
Viser treff 1-5 av 5
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Deep learning-based cross-sensor super resolution of satellite images
(Master thesis, 2021-11-22)Subtitle: Multispectral-to-panchromatic single-image super resolution of GeoEye-1 satellite images using an ESRGAN deep learning model trained exclusively on WorldView-2 images. Abstract: Today, easy and abundant access ... -
Deep-learning based reconstruction of dynamic non-Cartesian fMRI: Application to silent imaging
(Master thesis, 2023-06-02) -
Glioma Microstructure Modeling from Diffusion MRI: A Self-Supervised Deep Learning Approach
(Master thesis, 2023-06-02)Purpose: Gliomas are a highly heterogeneous group of primary brain tumors with poor prognosis, and treatment monitoring is challenging with its current diagnostic tool being invasive biopsy. In recent years, diffusion-weighted ... -
Machine learning and electronic health records
(Master thesis, 2020-10-02)In this work, we investigate the benefits and complications of using machine learning on EHR data. We survey some recent literature and conduct experiments on real data collected from hospital EHR systems. -
Zero-shot classification of salmon lice images by siamese neural networks
(Master thesis, 2023-06-22)Deep learning models, such as neural networks and its variations, have proven exceptionally useful in the current state of society. However, facilitating competitive performances requires large amounts of data for the ...