Blar i NTNU Open på forfatter "Kaandorp, Misha Pieter Thijs"
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Deep Learning Diffusion Parameters from Magnetic Resonance Imaging An Odyssey of Deep Learning IVIM Parameter Estimation
Kaandorp, Misha Pieter Thijs (Doctoral theses at NTNU;2024:148, Doctoral thesis, 2024)Cancer is a prominent cause of premature mortality worldwide and often preventable through early detection. Magnetic resonance imaging (MRI) is a vital modality in the investigation of many types of cancers, due to its ... -
Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients
Kaandorp, Misha Pieter Thijs; Barbieri, Sebastiano; Klaassen, Remy; van Laarhoven, Hanneke W. M.; Crezee, Hans; While, Peter Thomas; Nederveen, Aart J.; Gurney-Champion, Oliver J. (Peer reviewed; Journal article, 2021)Purpose Earlier work showed that IVIM-NETorig, an unsupervised physics-informed deep neural network, was faster and more accurate than other state-of-the-art intravoxel-incoherent motion (IVIM) fitting approaches to ...