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Classification of Brain MRI Images
Growth of abnormal cells in the brain is called brain disease. There are various types of brain diseases. Some are divided into cancerous cells and...
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MRI-GAN: Generative Adversarial Network for Brain Segmentation
Segmentation is an important step in medical imaging. In particular, machine learning, especially deep learning, has been widely used to efficiently...
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Brain MRI Classification: A Systematic Review
Because they are essential to people’s lives, classifying brain tumors using machine learning approaches has become necessary. The key to lowering...
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Advanced MRI imaging techniques in pediatric brain tumors
There is a diverse array of pediatric brain tumors with considerable associated morbidity. Like adult brain tumors, MRI serves as the primary imaging...
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Brain MRI Images for Tumour Detection Using Storage Optimisation Technique
A brain tumour is caused by a mass of random cells inside the brain, which is dangerous and harmful to the brain. Today, it is difficult to...
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Automatic brain extraction and brain tissues segmentation on multi-contrast animal MRI
For many neuroscience applications, brain extraction in MRI images is the first pre-processing step of a quantification pipeline. Once the brain is...
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Brain imaging with portable low-field MRI
The advent of portable, low-field MRI (LF-MRI) heralds new opportunities in neuroimaging. Low power requirements and transportability have enabled...
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Deep Transfer Learning for Schizophrenia Detection Using Brain MRI
Schizophrenia causes hallucinations, delusions, and excessive disorganization. Early diagnosis and treatment lessen family issues and social...
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Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation
The disparity between chronological age and estimated brain age from images is a significant indicator of abnormalities in brain development....
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Brain Tumor Classification from MRI Scans
Deep learning has recently been effectively utilized to learn complicated patterns in supervised classification tasks. The researchers want to...
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A deep unrolled neural network for real-time MRI-guided brain intervention
Accurate navigation and targeting are critical for neurological interventions including biopsy and deep brain stimulation. Real-time image guidance...
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Brain age prediction across the human lifespan using multimodal MRI data
Measuring differences between an individual’s age and biological age with biological information from the brain have the potential to provide...
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Predicting Brain Tumor Survival Using MRI Images and Machine Learning Techniques
This research paper proposes a new approach for predicting brain tumor survival using MRI images and machine learning techniques. We used a dataset...
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Enhanced brain tumour detection and localization using ridgelet transform in MRI
The early detection and localization of brain tumours in magnetic resonance imaging (MRI) data play a pivotal role in diagnosis and therapy planning....
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Detecting schizophrenia with 3D structural brain MRI using deep learning
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning...
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Rational and design of prophylactic cranial irradiation (PCI) and brain MRI surveillance versus brain MRI surveillance alone in patients with limited-stage small cell lung cancer achieving complete remission (CR) of tumor after chemoradiotherapy: a multicenter prospective randomized study
BackgroundProphylactic cranial irradiation (PCI) is part of standard care in limited-stage small cell lung cancer (SCLC) at present. As evidence from...
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Incidental MRI brain findings in children with sensorineural hearing loss
BackgroundSensorineural hearing loss is one of the leading causes for cognitive dysfunction. Incidental brain abnormalities are frequently seen in...
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“sCT-Feasibility” - a feasibility study for deep learning-based MRI-only brain radiotherapy
BackgroundRadiotherapy (RT) is an important treatment modality for patients with brain malignancies. Traditionally, computed tomography (CT) images...
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Yield of brain MRI in children with autism spectrum disorder
Autism spectrum disorder (ASD) is a common neurodevelopmental condition. The American Academy of Paediatrics and American Academy of Neurology do not...
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Brain MRI correlations with disease burden and biomarkers in Fabry disease
ObjectiveTo quantitatively evaluate cerebral small vessel disease (CSVD) in brain magnetic resonance imaging (MRI) and its correlation with disease...
