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@jabascal
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J F P J Abascal jabascal

Data Scientist. In the past, a researcher specialized on inverse problems, medical imaging, and deep learning approaches

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  1. HGGM-LIM/prior-motion-reconstruction-CTHGGM-LIM/prior-motion-reconstruction-CTPublic

    Data, code and results for prior- and motion-based reconstruction (PRIMOR) method for respiratory gated CT

    MATLAB 16 7

  2. ResPr-UNet-3D-Denoising-Efficient-Pipeline-TF-kerasResPr-UNet-3D-Denoising-Efficient-Pipeline-TF-kerasPublic

    3D image denoising using a modified U-Net architecture that exploits a prior image. Models are trained using efficient tensorflow pipeline based on keras and tf.data.Dataset API

    Jupyter Notebook 14 5

  3. openspyrit/spyritopenspyrit/spyritPublic

    A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.

    Python 58 15

  4. chat_with_data_appchat_with_data_appPublic

    Chatbot app & Talking ChatBot to any source of data leveraging OpenAI and LangChain

    Jupyter Notebook 2 2

  5. openspyrit/spyrit-examplesopenspyrit/spyrit-examplesPublic

    SPYRIT examples including tutorials and research contributions

    Jupyter Notebook 13 7

  6. ai-surveillanceai-surveillancePublic

    AI camera surveillance with opencv and object detection (YOLOv8, MobileNetv2, ...)

    Python 11 2


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