Machine Learning
Deep and traditional machine learning for medical diagnosis, with a focus on explainable, lightweight and robust methods, reinforcement learning for quantum control, quantum process tomography.
Projects with this topic
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MRSNet CNN model data.
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MRSNet basis data.
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Information about the spin network and related quantum control projects and summary of published results.
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Information about the prostate and brain cancer projects and summary of published results.
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Information about the magnetic resonance spectroscopy projects and summary of published results.
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Magnetic resonance spectroscopy data for a series of phantoms specifically designed to provide ground truth data for MEGAPRESS spectra quantification.
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MRSNet simulated spectra data.
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MR spectral quantification using convoloutional neural networks.
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Results of brain cancer segmentation using LATUPNet.
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Trained PCANet models for classification.
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Prostate cancer segmentation and classification with machine learning.
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Code for brain cancer segmentation.
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MRSNet model data of best models.
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