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CT Noise-Reduction Methods for Lower-Dose Scanning: Strengths and Weaknesses of Iterative Reconstruction Algorithms and New Techniques

Radiographics, 2021-09, Vol.41 (5), p.1493-1508

2021

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Magician's Corner: 7. Using Convolutional Neural Networks to Reduce Noise in Medical Images

Radiology. Artificial intelligence, 2020-09, Vol.2 (5), p.e200036

2020

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Improving the T2K Oscillation Analysis With fiTQun: A New Maximum-Likelihood Event Reconstruction for Super-Kamiokande

Journal of physics. Conference series, 2017-09, Vol.888 (1), p.12066, Article 012066

Missert, Andrew D.

2017

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Synthesizing images from multiple kernels using a deep convolutional neural network

Medical physics (Lancaster), 2020-02, Vol.47 (2), p.422-430

2020

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Technical note: Phantom‐based training framework for convolutional neural network CT noise reduction

Medical physics (Lancaster), 2023-02, Vol.50 (2), p.821-830

2023

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Multiple Kernel Synthesis of Head CT Using a Task-Based Loss Function

Journal of Imaging Informatics in Medicine, 2024-04, Vol.37 (2), p.864-872

2024

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A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images

Journal of Imaging Informatics in Medicine, 2024-04

2024

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Spin transport in an insulating ferrimagnetic-antiferromagnetic-ferrimagnetic trilayer as a function of temperature

AIP advances, 2019-10, Vol.9 (10), p.105319-105319-5

2019

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Spin transport in an insulating ferrimagnetic-antiferromagnetic-ferrimagnetic trilayer as a function of temperature

AIP advances, 2019-10, Vol.9 (10)

2019

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Analysis of Multilayer Devices for Superconducting Electronics by High-Resolution Scanning Transmission Electron Microscopy and Energy Dispersive Spectroscopy

IEEE transactions on applied superconductivity, 2017-06, Vol.27 (4), p.1-4

2017

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Neutrino Oscillation Measurements Using a Maximum Likelihood Event Reconstruction Algorithm

Missert, Andrew David

2017

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CT Noise-Reduction Methods for Lower-Dose Scanning: Strengths and Weaknesses of Iterative Reconstruction Algorithms and New Techniques

Magician's Corner: 7. Using Convolutional Neural Networks to Reduce Noise in Medical Images

Improving the T2K Oscillation Analysis With fiTQun: A New Maximum-Likelihood Event Reconstruction for Super-Kamiokande

Synthesizing images from multiple kernels using a deep convolutional neural network

Technical note: Phantom‐based training framework for convolutional neural network CT noise reduction

Multiple Kernel Synthesis of Head CT Using a Task-Based Loss Function

A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images

Spin transport in an insulating ferrimagnetic-antiferromagnetic-ferrimagnetic trilayer as a function of temperature

Spin transport in an insulating ferrimagnetic-antiferromagnetic-ferrimagnetic trilayer as a function of temperature

Analysis of Multilayer Devices for Superconducting Electronics by High-Resolution Scanning Transmission Electron Microscopy and Energy Dispersive Spectroscopy

Neutrino Oscillation Measurements Using a Maximum Likelihood Event Reconstruction Algorithm

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