Optimising convolutional neural networks for large-scale neuroimaging studies

Optimising convolutional neural networks for large-scale neuroimaging studies

<p>Ageing has a pronounced effect on the human brain, leading to cognitive decline and an increased risk of neurodegenerative diseases. Thus, the ageing population presents a significant challenge for healthcare. The use of MRI and the availability of computational methods for analysing the M...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awdur:	Dinsdale, NK
Awduron Eraill:	Namburete, AI
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	2021
Pynciau:	Deep learning (Machine learning) Magnetic resonance imaging

Eitemau Tebyg

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How to Pseudo-CT: A Comparative Review of Deep Convolutional Neural Network Architectures for CT Synthesis
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MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks
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Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study
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Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification
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Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks
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An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging
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Improving MR image quality with a multi-task model, using convolutional losses
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Editorial: Advanced neuroimaging methods in brain disorders, volume II
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