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alejandracascru/README.md

Intro1

Hi there!

I'm Alejandra, a Biomedical Engineer and PhD candidate in Informatics at the Technical University of Munich. I have experience working in Medical Imaging, Machine Learning, Signal Processing and Computer Vision applied to healthcare.

LinkedIn

Google Scholar

My highlighted projects are:

My top programming languages:

Python JavaScript

Containers and Cloud Computing:

Docker AWS

Packages I have been excelling in with:

PyTorch TensorFlow Pandas SciPy Plotly Matplotlib

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  1. SchubertLab/NeoLUNet SchubertLab/NeoLUNet Public

    Project for Neonatal MRI Lung Segmentation with U-Nets

    Jupyter Notebook 4 2

  2. SchubertLab/colorimetric_sensor_reading SchubertLab/colorimetric_sensor_reading Public

    Methods for automated digital reading of colorimetric sensors in settings with perturbed illumination conditions and low image-resolutions

    Python

  3. SchubertLab/neonatal_video_heart_rate SchubertLab/neonatal_video_heart_rate Public

    Deep learning pipeline for video-based heart rate prediction in neonates, leveraging signals from multiple body regions.

    Python

  4. timeseries-workshop-code timeseries-workshop-code Public

    Forked from georgeadam/timeseries-workshop-code

    Python 1

  5. TARS-summary TARS-summary Public

    Blog Explaining the TARS paper

  6. KIAS_HIDA_COVID_Challenge KIAS_HIDA_COVID_Challenge Public

    COVID Data Challenge April 2021

    Jupyter Notebook