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Radiology. Artificial Intelligence
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October 9, 2020
Magician's Corner: 7. Using Convolutional Neural Networks to Reduce Noise in Medical Images
Nathan Robert Huber, Andrew D Missert, Bradley J Erickson
Medrxiv : the Preprint Server for Health Sciences
|
September 11, 2023
Supervised Learning for CT Denoising and Deconvolution Without High-Resolution Reference Images
Andrew D Missert, Scott S Hsieh, Andrea Ferrero, et al.
Medical Physics
|
November 13, 2019
Synthesizing images from multiple kernels using a deep convolutional neural network
Andrew D Missert, Lifeng Yu, Shuai Leng, et al.
Journal of Computer Assisted Tomography
|
September 14, 2021
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, et al.
Medical Physics
|
November 17, 2022
Technical note: Phantom-based training framework for convolutional neural network CT noise reduction
Nathan R Huber, Andrew D Missert, Hao Gong, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
April 7, 2022
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, et al.
Medical Physics
|
May 9, 2025
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, et al.
Journal of Imaging Informatics in Medicine
|
February 12, 2024
Multiple Kernel Synthesis of Head CT Using a Task-Based Loss Function
Brandon J Nelson, Daniel G Gomez-Cardona, Jamison E Thorne, et al.
Journal of Imaging Informatics in Medicine
|
April 8, 2024
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, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
September 1, 2021
CT Noise-Reduction Methods for Lower-Dose Scanning: Strengths and Weaknesses of Iterative Reconstruction Algorithms and New Techniques
Payam Mohammadinejad, Achille Mileto, Lifeng Yu, et al.
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Search research articles
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Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Radiology. Artificial Intelligence
|
October 9, 2020
Magician's Corner: 7. Using Convolutional Neural Networks to Reduce Noise in Medical Images
Nathan Robert Huber, Andrew D Missert, Bradley J Erickson
Medrxiv : the Preprint Server for Health Sciences
|
September 11, 2023
Supervised Learning for CT Denoising and Deconvolution Without High-Resolution Reference Images
Andrew D Missert, Scott S Hsieh, Andrea Ferrero, et al.
Medical Physics
|
November 13, 2019
Synthesizing images from multiple kernels using a deep convolutional neural network
Andrew D Missert, Lifeng Yu, Shuai Leng, et al.
Journal of Computer Assisted Tomography
|
September 14, 2021
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, et al.
Medical Physics
|
November 17, 2022
Technical note: Phantom-based training framework for convolutional neural network CT noise reduction
Nathan R Huber, Andrew D Missert, Hao Gong, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
April 7, 2022
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, et al.
Medical Physics
|
May 9, 2025
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, et al.
Journal of Imaging Informatics in Medicine
|
February 12, 2024
Multiple Kernel Synthesis of Head CT Using a Task-Based Loss Function
Brandon J Nelson, Daniel G Gomez-Cardona, Jamison E Thorne, et al.
Journal of Imaging Informatics in Medicine
|
April 8, 2024
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, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
September 1, 2021
CT Noise-Reduction Methods for Lower-Dose Scanning: Strengths and Weaknesses of Iterative Reconstruction Algorithms and New Techniques
Payam Mohammadinejad, Achille Mileto, Lifeng Yu, et al.
Page
of 2