Mathematics (Faculty of Engineering)
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- 2021
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Mark
A deep learning approach for predicting outcomes of triple-negative breast cancer
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- Master (Two yrs)
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Mark
Simple proofs of the continuity and nowhere differentiability of fractal curves
2021) In Bachelor's Theses in Mathematical Sciences MATK11 20211(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)- Bach. Degree
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Mark
Pseudospectra and the numerical solution of differential equations
2021) In Master's Theses in Mathematical Sciences NUMM03 20211(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Master (Two yrs)
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Mark
Aortic Segmentation in Real-Time Flow Exercise Cardiac Magnetic Resonance Images using Convolutional Neural Networks
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- Master (Two yrs)
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Mark
Domain Adaptation for Combined CT and CBCT Deep Learning Segmentation
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- Master (Two yrs)
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Mark
Generative Adversarial Networks in Lip-Synchronized Deepfakes for Personalized Video Messages
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- Master (Two yrs)
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Mark
Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
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- Master (Two yrs)
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Mark
Automated 3D Bone Segmentation using Deep Learning in Scoliosis
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- Master (Two yrs)
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Mark
Machine Learning Algorithm for Classification of Breast Ultrasound Images
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- Master (Two yrs)
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Mark
Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
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- Master (Two yrs)