AIMC Topic: Magnetic Resonance Imaging

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MCDGLN: Masked connection-based dynamic graph learning network for autism spectrum disorder.

Brain research bulletin
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by complex physiological processes. Previous research has predominantly focused on static cerebral interactions, often neglecting the brain's dynamic nature and the challen...

Female autism categorization using CNN based NeuroNet57 and ant colony optimization.

Computers in biology and medicine
Autism identification and classification using biomedical medical image analysis has advanced recently. Research shows autistic females have different phenotypic and age-related brain variations than males. Gender-specific hormones and genes affect a...

Automatic cerebral microbleeds detection from MR images via multi-channel and multi-scale CNNs.

Computers in biology and medicine
BACKGROUND: Computer-aided detection (CAD) systems have been widely used to assist medical professionals in interpreting medical images, aiding in the detection of potential diseases. Despite their usefulness, CAD systems cannot yet fully replace doc...

Towards automatic US-MR fetal brain image registration with learning-based methods.

NeuroImage
Fetal brain imaging is essential for prenatal care, with ultrasound (US) and magnetic resonance imaging (MRI) providing complementary strengths. While MRI has superior soft tissue contrast, US offers portable and inexpensive screening of neurological...

Rehabilitation training robot using mirror therapy for the upper and lower limb after stroke: a prospective cohort study.

Journal of neuroengineering and rehabilitation
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness of rehabilitation training robots versus conventional rehabilitation training on stroke survivors by monitoring alterations in brain network of stroke...

Enhanced ISUP grade prediction in prostate cancer using multi-center radiomics data.

Abdominal radiology (New York)
BACKGROUND: To explore the predictive value of radiomics features extracted from anatomical ROIs in differentiating the International Society of Urological Pathology (ISUP) grading in prostate cancer patients.

Enhancing the role of MRI in rectal cancer: advances from staging to prognosis prediction.

European radiology
Rectal cancer (RC) is one of the major health challenges worldwide. Accurate staging, restaging, invasiveness assessment, and treatment efficacy evaluation are crucial for its clinical management. Magnetic resonance imaging (MRI) plays a significant ...

Alzheimer's disease prediction using 3D-CNNs: Intelligent processing of neuroimaging data.

SLAS technology
Alzheimer's disease (AD) is a severe neurological illness that demolishes memory and brain functioning. This disease affects an individual's capacity to work, think, and behave. The proportion of individuals suffering from AD is rapidly increasing. I...

A comprehensive approach to anticipating the progression of mild cognitive impairment.

Brain research
The immersive experience provided by our approach empowers researchers with an intuitive exploration of brain structures. Within the brain's central nervous system, encompassing both white and gray matter, symptoms associated with Alzheimer's disease...

Accurate phenotyping of luminal A breast cancer in magnetic resonance imaging: A new 3D CNN approach.

Computers in biology and medicine
Breast cancer (BC) remains a predominant and deadly cancer in women worldwide. By 2040, projections indicate that more than 3 million new cases of breast cancer will emerge annually, culminating in more than 1 million deaths worldwide. Early detectio...