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1. BME-ECG-Noise-Filter BME-ECG-Noise-Filter Public

   A cross-platform ECG noise filtration pipeline integrating MATLAB and Simulink simulation models with standalone Python runtime deployment for real-time physiological signal conditioning.

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2. clinical-cancer-classification clinical-cancer-classification Public

   A machine learning classification pipeline utilizing Random Forests and Scikit-Learn to categorize breast cancer diagnostic features with high statistical precision.

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3. ML_cardio-risk-classification ML_cardio-risk-classification Public

   An end-to-end clinical machine learning pipeline using Scikit-Learn & Random Forests to classify cardiovascular risk profiles with robust automated preprocessing.

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4. ecg-1dcnn-pipeline ecg-1dcnn-pipeline Public

   End-to-end PyTorch deep learning pipeline for ECG anomaly detection using a custom 1D-CNN, custom Dataset streaming handlers, and dynamic sequence formatting.

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5. BME-MRI-Segmentation-UNet BME-MRI-Segmentation-UNet Public

   Modular 2D U-Net medical image segmentation pipeline in PyTorch for automated MRI brain tumor isolation, featuring dynamic Albumentations preprocessing and an environmental mock-data fallback.

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6. BME-ChestXray-Segmentation-MONAI BME-ChestXray-Segmentation-MONAI Public

   Python