41 citations · 41 across the 2 of their papers we have counts for
2 papers
physics.med-ph2020
Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients
Misha P. T. Kaandorp, Sebastiano Barbieri, Remy Klaassen +5
: Earlier work showed that IVIM-NET, an unsupervised physics-informed deep neural network, was more accurate than other state-of-the-art intravoxel-incohere…
physics.med-ph2016★ 41 cited
Magnetic Lenz lenses increase the limit-of-detection in nuclear magnetic resonance
Nils Spengler, Peter T. While, Markus V. Meissner +2
A high NMR detection sensitivity is indispensable when dealing with mass and volume-limited samples, or whenever a high spatial resolution is required. The use of miniaturised RF c…