Publications by authors named "Andrew D Missert"

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Learned high resolution energy-integrating detector CT angiography: Harnessing the power of ultra-high-resolution photon counting detector CT.
Emily K Koons, Shaojie Chang, Andrew D Missert, Hao Gong, Jamison E Thorne

Med Phys· July 2025

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Implementing Artificial Intelligence Algorithms in the Radiology Workflow: Challenges and Considerations.
Panagiotis Korfiatis, Timothy L Kline, Holly M Meyer, Sana Khalid, Timothy Leiner, Andrew D Missert

Mayo Clin Proc Digit Health· March 2025

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Feasibility of thin-slice, low noise images created using multi-kernel synthesis to replace multiple image series in head CT.
Akitoshi Inoue, Felix E Diehn, Alex A Nagelschneider, Theodore J Passe, David R DeLone, Andrew D Missert

Acta Radiol· November 2024

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A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images.
Peilong Wang, Timothy L Kline, Andrew D Missert, Cole J Cook, Matthew R Callstrom

J Imaging Inform Med· October 2024

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Multiple Kernel Synthesis of Head CT Using a Task-Based Loss Function.
Brandon J Nelson, Daniel G Gomez-Cardona, Jamison E Thorne, Nathan R Huber, Lifeng Yu, Andrew D Missert

J Imaging Inform Med· April 2024

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Supervised Learning for CT Denoising and Deconvolution Without High-Resolution Reference Images.
Andrew D Missert, Scott S Hsieh, Andrea Ferrero, Cynthia H McCollough

medRxiv· September 2023

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Technical note: Phantom-based training framework for convolutional neural network CT noise reduction.
Nathan R Huber, Andrew D Missert, Hao Gong, Shuai Leng, Lifeng Yu

Med Phys· February 2023

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CT Noise-Reduction Methods for Lower-Dose Scanning: Strengths and Weaknesses of Iterative Reconstruction Algorithms and New Techniques.
Payam Mohammadinejad, Achille Mileto, Lifeng Yu, Shuai Leng, Luis S Guimaraes, Andrew D Missert

Radiographics· November 2021

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Evaluating a Convolutional Neural Network Noise Reduction Method When Applied to CT Images Reconstructed Differently Than Training Data.
Nathan R Huber, Andrew D Missert, Lifeng Yu, Shuai Leng, Cynthia H McCollough

J Comput Assist Tomogr· September 2021

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Random Search as a Neural Network Optimization Strategy for Convolutional-Neural-Network (CNN)-based Noise Reduction in CT.
Nathan R Huber, Andrew D Missert, Hao Gong, Scott S Hsieh, Shuai Leng

Proc SPIE Int Soc Opt Eng· February 2021

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Magician's Corner: 7. Using Convolutional Neural Networks to Reduce Noise in Medical Images.
Nathan Robert Huber, Andrew D Missert, Bradley J Erickson

Radiol Artif Intell· September 2020

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Synthesizing images from multiple kernels using a deep convolutional neural network.
Andrew D Missert, Lifeng Yu, Shuai Leng, Joel G Fletcher, Cynthia H McCollough

Med Phys· February 2020

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