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hannesk95/README.md

Welcome, Servus, and Hello! 👋

About Me

👨🏻‍💻 M.Sc. graduate in Electrical- and Computer Engineering from Technical University of Munich (TUM).

💼 Research associate in the AI & Radiomics Research Group, Department of Radiation Oncology, TUM University Hospital Rechts der Isar - Supervisor: Prof. Dr. med. Jan Peeken.

🔭 PhD candidate at the Institute of Computational Imaging and AI in Medicine, at the Technical University of Munich (TUM) - Supervisor: Prof. Dr. Julia A. Schnabel.

📫 Connect with me: E-Mail / Website / LinkedIn / GoogleScholar

Tech stack

Programming Languages

Python C++ C Java Bash

Machine Learning, Deep Learning & Computer Vision

PyTorch TensorFlow SimpleITK

MLOps

Weights & Biases TensorBoard

Tools

Git pytest Linux Slurm VS Code 3D Slicer GitHub Copilot

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  1. ExplainingAnatomicalShapeVariability ExplainingAnatomicalShapeVariability Public

    This work showcases a variational graph autoencoder disentanglement using 3D mesh data.

    HTML 4 2

  2. ClassificationForAdditiveManufacturing ClassificationForAdditiveManufacturing Public

    The overall goal of this project is about developing an algorithm using deep learning, which is capable of predicting whether a 3D-model is printable or not.

    Jupyter Notebook 1

  3. DistributedDynamicProgrammingOpenMPI DistributedDynamicProgrammingOpenMPI Public

    In this project, an asynchronous value iteration using OpenMPI is presented. Different strategies are implemented and benchmarked subsequently.

    C++

  4. ConsumerProducerModel ConsumerProducerModel Public

    This project uses C++ multithreading (producer-consumer model) in order to draw the well known Barnsley fern.

    C++

  5. DINOv2GNN DINOv2GNN Public

    Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?

    Python 9 2

  6. TumorRepresentationLearningGCN TumorRepresentationLearningGCN Public

    Jupyter Notebook 1