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...

Bibliografski detalji
Glavni autor:	Dinsdale, NK
Daljnji autori:	Namburete, AI
Format:	Disertacija
Jezik:	English
Izdano:	2021
Teme:	Deep learning (Machine learning) Magnetic resonance imaging

Slični predmeti

Automated detection of anterior cruciate ligament tears using a deep convolutional neural network
od: Yusuke Minamoto, i dr.
Izdano: (2022-06-01)

Optimising network modelling methods for fMRI
od: Pervaiz, U
Izdano: (2021)

Accelerating Brain MR Imaging With Multisequence and Convolutional Neural Networks
od: Zhanhao Mo, i dr.
Izdano: (2024-11-01)

Automatic Assessment of ASPECTS Using Diffusion-Weighted Imaging in Acute Ischemic Stroke Using Recurrent Residual Convolutional Neural Network
od: Luu-Ngoc Do, i dr.
Izdano: (2020-10-01)

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
od: Andronicus A. Akinyelu, i dr.
Izdano: (2022-07-01)

Detection of active and inactive phases of thyroid-associated ophthalmopathy using deep convolutional neural network
od: Chenyi Lin, i dr.
Izdano: (2021-01-01)

Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment
od: Igor Stępień, i dr.
Izdano: (2021-02-01)

Isolated Convolutional-Neural-Network-Based Deep-Feature Extraction for Brain Tumor Classification Using Shallow Classifier
od: Yassir Edrees Almalki, i dr.
Izdano: (2022-07-01)

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

Application of Convolutional Neural Network in the Diagnosis of Cavernous Sinus Invasion in Pituitary Adenoma
od: Yi Fang, i dr.
Izdano: (2022-04-01)

Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis
od: Tianying Zheng, i dr.
Izdano: (2024-12-01)

Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
od: Carl Petter Skaar Kulseng, i dr.
Izdano: (2023-01-01)

Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data
od: Khaled Bousabarah, i dr.
Izdano: (2020-04-01)

Reference-Driven Compressed Sensing MR Image Reconstruction Using Deep Convolutional Neural Networks without Pre-Training
od: Di Zhao, i dr.
Izdano: (2020-01-01)

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

Multimodal hybrid convolutional neural network based brain tumor grade classification
od: A. Rohini, i dr.
Izdano: (2023-10-01)

Fully automated detection and localization of clinically significant prostate cancer on MR images using a cascaded convolutional neural network
od: Lina Zhu, i dr.
Izdano: (2022-09-01)

Compressed-Sensing Magnetic Resonance Image Reconstruction Using an Iterative Convolutional Neural Network Approach
od: Fumio Hashimoto, i dr.
Izdano: (2020-03-01)

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

The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
od: Nguyen Huynh, i dr.
Izdano: (2024-04-01)

Real-Time Automatic Configuration of Brain MRI: A Comparative Study of SIFT Descriptors and YOLO Neural Network
od: Rávison Amaral Almeida, i dr.
Izdano: (2024-12-01)

Automatic Windowing for MRI With Convolutional Neural Network
od: Xiaole Zhao, i dr.
Izdano: (2019-01-01)

Editorial: Advanced Neuroimaging Methods in Brain Disorders
od: Jurong Ding, i dr.
Izdano: (2022-04-01)

A Convolutional Neural Network Model for Detecting Sellar Floor Destruction of Pituitary Adenoma on Magnetic Resonance Imaging Scans
od: Tianshun Feng, i dr.
Izdano: (2022-07-01)

Comparison Analysis of Brain Image Classification Based on Thresholding Segmentation With Convolutional Neural Network
od: Alwas Muis, i dr.
Izdano: (2023-06-01)

Development of convolutional neural network model for diagnosing meniscus tear using magnetic resonance image
od: Hyunkwang Shin, i dr.
Izdano: (2022-05-01)

Building the Precision Medicine for Mental Disorders via Radiomics/Machine Learning and Neuroimaging
od: Long-Biao Cui, i dr.
Izdano: (2021-06-01)

The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading
od: Nicolin Hainc, i dr.
Izdano: (2017-09-01)

How to Pseudo-CT: A Comparative Review of Deep Convolutional Neural Network Architectures for CT Synthesis
od: Javier Vera-Olmos, i dr.
Izdano: (2022-11-01)

MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks
od: Ricardo A. Gonzales, i dr.
Izdano: (2021-11-01)

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

Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification
od: Favour Ekong, i dr.
Izdano: (2022-07-01)

Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks
od: Bochong Li, i dr.
Izdano: (2022-07-01)

Convolutional neural networks: an overview and application in radiology
od: Rikiya Yamashita, i dr.
Izdano: (2018-06-01)

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging
od: Ioannis D. Apostolopoulos, i dr.
Izdano: (2023-03-01)

Improving MR image quality with a multi-task model, using convolutional losses
od: Attila Simkó, i dr.
Izdano: (2023-10-01)

Brain Age Prediction Using a Lightweight Convolutional Neural Network
od: Fatma Eltashani, i dr.
Izdano: (2025-01-01)

Editorial: Advanced neuroimaging methods in brain disorders, volume II
od: Jurong Ding, i dr.
Izdano: (2023-08-01)

Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging
od: Daniel Reyes, i dr.
Izdano: (2024-02-01)

Small and Slim Deep Convolutional Neural Network for Mobile Device
od: Amadeus Suryo Winoto, i dr.
Izdano: (2020-01-01)