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
-
MRSNet model data of best models.
Updated -
MRSNet CNN model data.
Updated -
Magnetic resonance spectroscopy data for a series of phantoms specifically designed to provide ground truth data for MEGAPRESS spectra quantification.
Updated -
MRSNet basis data.
Updated -
Information about the spin network and related quantum control projects and summary of published results.
Updated -
Information about the prostate and brain cancer projects and summary of published results.
Updated -
Information about the magnetic resonance spectroscopy projects and summary of published results.
Updated -
MRSNet simulated spectra data.
Updated -
MR spectral quantification using convoloutional neural networks.
Updated -
Results of brain cancer segmentation using LATUPNet.
Updated -
Trained PCANet models for classification.
Updated -
Prostate cancer segmentation and classification with machine learning.
Updated -
Code for brain cancer segmentation.
Updated