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A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography
In this work, we present the Deep Newton Reconstruction Network (DNR-Net), a hybrid data-driven reconstruction technique for emission tomography inspired by Newton's method, a well-known iterative optimization algorithm.
A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging
Photon attenuation and scatter are the two main physical factors affecting the diagnostic quality of SPECT in its applications in brain imaging.
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