Classifying Alzheimer Brain MRI Images with neural nets
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Updated
Dec 29, 2020 - Jupyter Notebook
Classifying Alzheimer Brain MRI Images with neural nets
Containerized DICOM edge routing and multi-stage processing pipeline optimized for the NVIDIA RTX 6000 Ada. Automates pulse sequence classification, CUDA-accelerated 2D FFT artifact detection, 3D isotropic resampling, and volumetric spatial defacing for GE & Siemens MRI hardware routing to Cloud PACS.
FRODO: 3D Multimodal Deep Learning for Paramagnetic Rim Lesion Classification in Multiple Sclerosis using Asymmetric QSM-FLAIR Modeling.
MSc záróvizsga kidolgozás orvosi mérnökinformatika szakirányra
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