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  • Utrecht University

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  1. Automatic-Organ-Delineation-in-MRI Automatic-Organ-Delineation-in-MRI Public

    Comparative study of atlas-based registration and deep learning approaches for prostate segmentation in clinical MR images. Includes evaluation of multi-atlas label fusion and U-Net models trained …

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  2. Brain-Tissue-Segmentation-in-MRI-T1w- Brain-Tissue-Segmentation-in-MRI-T1w- Public

    Automated methodology for the segmentation of 2D T1w brain MRI scans, making use conventional image processing techniques. The primary objective is to segment key anatomical structures within the b…

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  3. Prediction-of-Liver-Fibrosis-using-Machine-Learning Prediction-of-Liver-Fibrosis-using-Machine-Learning Public

    This project focuses on developing a non-invasive prediction model that can serve as an alternative to invasive liver biopsies for assessing liver fibrosis and its level of progression in patients …

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  4. Stats-Don-t-Lie-Hypothesis-Testing-in-the-Premier-League Stats-Don-t-Lie-Hypothesis-Testing-in-the-Premier-League Public

    Welcome to our deep dive into the *beautiful game* — but with a statistical twist!

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  5. Melanoma-Segmentation-Deep-Learning-for-Histopathological-Analysis Melanoma-Segmentation-Deep-Learning-for-Histopathological-Analysis Public

    Cell nuclei characterization plays a key role in the diagnosis and grading of skin cancer. While tracking melanoma progression across tissues is crucial for diagnosis and treatment planning. Thus, …

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  6. Fluoroscopy-guided-pedicle-screw-placement Fluoroscopy-guided-pedicle-screw-placement Public

    This project proposes a fully automatic, data-driven approach that leverages preoperative CT imaging to estimate the optimal C-arm orientation without repeated intraoperative X-ray acquisitions to …

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