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- 2024
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Mark
Machine Learning-based Multimodal Data Compression
- Master (Two yrs)
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Mark
Enhancing the resolution of brain MRIs using deep learning.
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2023
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Mark
Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
- Master (Two yrs)
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Mark
Predicting Protein Stability with Machine Learning
- Prof. qual. >4 yrs
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Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
- Master (Two yrs)
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Mark
Quality enhancement of time-resolved computed tomography scans with cycleGAN
- Master (Two yrs)
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Mark
Beyond Traditional Tomography: X-ray Multi-projection Imaging for Additive Manufacturing
- Bach. Degree
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Mark
Urban tree canopy mapping -an open source deep learning approach
(2023) In Master Thesis in Geographical Information Science GISM01 20231
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Self-supervised representation learning from electrocardiogram data for medical applications
(2023) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
- Prof. qual. >4 yrs