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...

Ausführliche Beschreibung

Bibliographische Detailangaben
1. Verfasser:	Dinsdale, NK
Weitere Verfasser:	Namburete, AI
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	2021
Schlagworte:	Deep learning (Machine learning) Magnetic resonance imaging

Ähnliche Einträge

Automated detection of anterior cruciate ligament tears using a deep convolutional neural network
von: Yusuke Minamoto, et al.
Veröffentlicht: (2022-06-01)

Optimising network modelling methods for fMRI
von: Pervaiz, U
Veröffentlicht: (2021)

Accelerating Brain MR Imaging With Multisequence and Convolutional Neural Networks
von: Zhanhao Mo, et al.
Veröffentlicht: (2024-11-01)

Automatic Assessment of ASPECTS Using Diffusion-Weighted Imaging in Acute Ischemic Stroke Using Recurrent Residual Convolutional Neural Network
von: Luu-Ngoc Do, et al.
Veröffentlicht: (2020-10-01)

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
von: Andronicus A. Akinyelu, et al.
Veröffentlicht: (2022-07-01)

Detection of active and inactive phases of thyroid-associated ophthalmopathy using deep convolutional neural network
von: Chenyi Lin, et al.
Veröffentlicht: (2021-01-01)

Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment
von: Igor Stępień, et al.
Veröffentlicht: (2021-02-01)

Isolated Convolutional-Neural-Network-Based Deep-Feature Extraction for Brain Tumor Classification Using Shallow Classifier
von: Yassir Edrees Almalki, et al.
Veröffentlicht: (2022-07-01)

Fully Automated Magnetic Resonance Detection and Segmentation of Brain using Convolutional Neural Network
von: Atheel Sabih Shaker
Veröffentlicht: (2021-10-01)

Application of Convolutional Neural Network in the Diagnosis of Cavernous Sinus Invasion in Pituitary Adenoma
von: Yi Fang, et al.
Veröffentlicht: (2022-04-01)

Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis
von: Tianying Zheng, et al.
Veröffentlicht: (2024-12-01)

Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
von: Carl Petter Skaar Kulseng, et al.
Veröffentlicht: (2023-01-01)

Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data
von: Khaled Bousabarah, et al.
Veröffentlicht: (2020-04-01)

Reference-Driven Compressed Sensing MR Image Reconstruction Using Deep Convolutional Neural Networks without Pre-Training
von: Di Zhao, et al.
Veröffentlicht: (2020-01-01)

Automated quality control by application of machine learning techniques for quantitative liver MRI
von: Hill, C
Veröffentlicht: (2021)

Multimodal hybrid convolutional neural network based brain tumor grade classification
von: A. Rohini, et al.
Veröffentlicht: (2023-10-01)

Fully automated detection and localization of clinically significant prostate cancer on MR images using a cascaded convolutional neural network
von: Lina Zhu, et al.
Veröffentlicht: (2022-09-01)

Compressed-Sensing Magnetic Resonance Image Reconstruction Using an Iterative Convolutional Neural Network Approach
von: Fumio Hashimoto, et al.
Veröffentlicht: (2020-03-01)

Fast Brain MRI Reconstruction Using Deep Iterative Convolutional Neural Network
von: DU Nianmao, SONG Wei
Veröffentlicht: (2020-12-01)

The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
von: Nguyen Huynh, et al.
Veröffentlicht: (2024-04-01)

Real-Time Automatic Configuration of Brain MRI: A Comparative Study of SIFT Descriptors and YOLO Neural Network
von: Rávison Amaral Almeida, et al.
Veröffentlicht: (2024-12-01)

Automatic Windowing for MRI With Convolutional Neural Network
von: Xiaole Zhao, et al.
Veröffentlicht: (2019-01-01)

Editorial: Advanced Neuroimaging Methods in Brain Disorders
von: Jurong Ding, et al.
Veröffentlicht: (2022-04-01)

A Convolutional Neural Network Model for Detecting Sellar Floor Destruction of Pituitary Adenoma on Magnetic Resonance Imaging Scans
von: Tianshun Feng, et al.
Veröffentlicht: (2022-07-01)

Comparison Analysis of Brain Image Classification Based on Thresholding Segmentation With Convolutional Neural Network
von: Alwas Muis, et al.
Veröffentlicht: (2023-06-01)

Development of convolutional neural network model for diagnosing meniscus tear using magnetic resonance image
von: Hyunkwang Shin, et al.
Veröffentlicht: (2022-05-01)

Building the Precision Medicine for Mental Disorders via Radiomics/Machine Learning and Neuroimaging
von: Long-Biao Cui, et al.
Veröffentlicht: (2021-06-01)

The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading
von: Nicolin Hainc, et al.
Veröffentlicht: (2017-09-01)

How to Pseudo-CT: A Comparative Review of Deep Convolutional Neural Network Architectures for CT Synthesis
von: Javier Vera-Olmos, et al.
Veröffentlicht: (2022-11-01)

MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks
von: Ricardo A. Gonzales, et al.
Veröffentlicht: (2021-11-01)

Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study
von: Ahmet Karagoz, et al.
Veröffentlicht: (2023-06-01)

Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification
von: Favour Ekong, et al.
Veröffentlicht: (2022-07-01)

Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks
von: Bochong Li, et al.
Veröffentlicht: (2022-07-01)

Convolutional neural networks: an overview and application in radiology
von: Rikiya Yamashita, et al.
Veröffentlicht: (2018-06-01)

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging
von: Ioannis D. Apostolopoulos, et al.
Veröffentlicht: (2023-03-01)

Improving MR image quality with a multi-task model, using convolutional losses
von: Attila Simkó, et al.
Veröffentlicht: (2023-10-01)

Brain Age Prediction Using a Lightweight Convolutional Neural Network
von: Fatma Eltashani, et al.
Veröffentlicht: (2025-01-01)

Editorial: Advanced neuroimaging methods in brain disorders, volume II
von: Jurong Ding, et al.
Veröffentlicht: (2023-08-01)

Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging
von: Daniel Reyes, et al.
Veröffentlicht: (2024-02-01)

Small and Slim Deep Convolutional Neural Network for Mobile Device
von: Amadeus Suryo Winoto, et al.
Veröffentlicht: (2020-01-01)