Master thesis done in Computer Vision Group of Technical University of Munich. Supervisors are Dr. Yvain Queau and Prof. Daniel Cremers.
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Jul 24, 2017 - TeX
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Traditional Image Processing Techniques for Nailfold Capillary Detection: A project showcasing a non-ML/DL approach to detect and count nailfold capillaries, emphasizing the application of fundamental image analysis methods in medical diagnostics.
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Feb 20, 2024 - Jupyter Notebook
Solutions for Advanced Image Analysis course assignments, featuring model designs for image summation and generation with MNIST, and style transfer using CycleGAN with MNIST and SVHN datasets.
computer-vision pytorch gan mnist vibot gan-pytorch cyclegan-pytorch svhn-dataset vae-implementation vae-pytorch
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Oct 15, 2024 - Jupyter Notebook
This repository presents exercises related to magnetic resonance imaging (MRI) and an introduction to quantitative magnetic resonance imaging (qMRI).
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Feb 18, 2024 - Jupyter Notebook
Classification project using Self-Organizing Maps (SOM) to differentiate patients and healthy subjects from marker data, encompassing network construction, training, and testing phases.
computer-vision som identification self-organizing-map kohonen-network vibot visual-perception vector-classification
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Feb 20, 2024 - Jupyter Notebook
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