The rise of artificial intelligence is changing the shape of many different fields, and ophthalmic medicine is no exception. Convolutional neural networks (CNNs) have achieved remarkable results in the assisted diagnosis of ophthalmic diseases. However, they face challenges such as limited labeling and small dataset sizes. In recent years, self-supervised...

Epilepsy is a debilitating disorder that affects 50 million people worldwide, including one in 150 children. Some patients with epilepsy (including roughly 20-40% of children) suffer from refractory seizures despite treatment with anticonvulsants, i.e. pharmaco-resistant epilepsy (PRE), which results in increased morbidity and mortality. Early identification...

EEG (Electroencephalogram) is a widely used tool for monitoring and recording electrical brain activity; aiding in the diagnosis and treatment of various neurological conditions such as epilepsy, sleep disorders, and brain injuries. While EEG technology has advanced significantly over the years, auxiliary equipment, such as EEG carts, have remained...

Background Electron accelerators are used in a number of applications, from medical imaging by x-ray production, to gamma-ray production for medical applications. Integrating high-power lasers and electron beams can potentially improve the performance of electron accelerators, make compact x-ray sources, and potentially create new kinds of light. However,...

The utilization of ultrasound imaging is common for material characterization and detection of flaws in small-scale biological tissues and soft materials because it provides quantitative and relevant information. However, this imaging modality relies on the probe coming into direct contact with the soft material in order to minimize excess attenuation...

Cardiovascular disease is responsible for an estimated 17.9 million deaths each year, making it the leading cause of death worldwide. Continuous heart health monitoring way is the best preventative for heart failure. However, standard monitoring devices, including ECG and PPG, require direct physical contact, which can be difficult for certain patient...

Magnetic resonance imaging (MRI) is an important non-invasive imaging modality that produces detailed images of organs and tissues in a body. Using high fields, 1.5T, 3T, 7T, and above, provides higher signal-to-noise ratios (SNR), temporal resolutions and spatial resolution. MRI RF coils play a significant role in determining image quality. Surface...

Atherosclerosis is characterized by the formation of fatty plaque deposits within the vasculature. With increasing plaque buildup, the affected arteries may harden and narrow leading to complications such as heart attack, stroke, aneurysm and other cardiovascular events. The complex nature of plaque makes lesion-targeting imaging, and subsequently early...

Epilepsy is a debilitating disorder that affects 50 million people worldwide, including one in 150 children. About 20-40% of children with epilepsy suffer from refractory seizures despite treatment with anticonvulsants, i.e. pharmaco-resistant epilepsy (PRE), which results in increased morbidity and mortality. Early identification and surgical intervention...

There has been much research into developing learning methods on non-Euclidean domains such as point clouds, various meshes and graphs. However, very few have studied CNNs on tetrahedral meshes, which are highly useful in medical imaging applications. Tetrahedral meshes have millions of edges and vertices and existing graph convolutional networks are...