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intervall-ludger/README.md

👋 Hello

I am Karl Ludger Radke, a PhD student in Deep Learning for medical image processing at the University Hospital Düsseldorf and a Data Scientist at Intervall Beratungs GmbH Stuttgart. I've been a scientific employee for over 4 years, focusing on research in the field of biosensitive MR diagnostics and the application of Deep Learning for medical imaging.

Scientific Focus 👀

As a research assistant and PhD student, my current focus is on the application of Deep Learning and Radiomics for image analysis, the development of fully automated pipelines, numerical simulations for biosensitive MR imaging, and statistical analysis.

You can find my latest research results here: ResearchGate

Expertise in Statistics 📊

I have extensive knowledge in statistics, with a particular focus on clinical studies. I am skilled at analyzing and interpreting data to draw meaningful conclusions that can contribute to the advancement of medical research.

Programming Skills 💻

I have proficiency in the following programming languages:

  • Python, R (Advanced)
  • Java, JavaScript, Rust (Intermediate)
  • C++ (Basic)

Interests in Data Security 🔒

I also have an interest in data security and encryption, which are crucial for handling sensitive data, especially in medical applications.

Recent Publications (last 4)

Titel GitHub-Link Publikations-Link
“shortCardiac” — An open-source framework for fast and standardized assessment of cardiac function. GitHub Publication
Adaptive IoU Thresholding for Improving Small Object Detection: A Proof-of-Concept Study of Hand Erosions Classification of Patients with Rheumatic Arthritis on X-ray Images GitHub Publication
Lorentzian-Corrected Apparent Exchange-Dependent Relaxation (LAREX) Ω-Plot Analysis—An Adaptation for qCEST in a Multi-Pool System: Comprehensive In Silico, In Situ, and In Vivo Studies Publication
Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease Publication

Work Experience

  • PhD Student at Heinrich-Heine-Universität Düsseldorf (Dec 2020 - Present)
  • Data Scientist at Intervall (Sep 2022 - Present)
  • Research assistant at Universitätsklinikum Düsseldorf (Dec 2020 - Present)
  • Wissenschaftliche Hilfskraft at Universitätsklinikum Düsseldorf (Jan 2019 - Nov 2020)
  • Studentische Hilfskraft at Heinrich-Heine-Universität Düsseldorf (Aug 2017 - Feb 2019)

Education

  • Master of Science - MS, Medizinische Physik, Heinrich-Heine-Universität Düsseldorf (2019 - 2020)
  • Bachelor of Science - BS, Medizinische Physik, Heinrich-Heine-Universität Düsseldorf (2015 - 2019)

Pinned Loading

  1. MPR-UKD/shortCardiac MPR-UKD/shortCardiac Public

    Open -Source Framework for standardized, simplified and accelerated analysis of cardiac MRIs in short-axis view.

    Python 1 2

  2. MPR-UKD/DICOM_Translator MPR-UKD/DICOM_Translator Public

    Creates an ordered directory based on the DICOM information

    Python 3 1

  3. ImgC ImgC Public

    ImgC - Optimizer for image format and size

    Python

  4. MPR-UKD/calf MPR-UKD/calf Public

    Chemical Exchange Saturation Transfer (CEST) MRI Analysis Software

    5 1

  5. MPR-UKD/CEST-Denoise MPR-UKD/CEST-Denoise Public

    Noise Reduction Tool for CEST MRI Data

    Python 2

  6. MPR-UKD/Adaptive-IoU-RetinaNet MPR-UKD/Adaptive-IoU-RetinaNet Public

    Python