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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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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