Histological whole slide image (WSI) processing techniques are critical for identifying and classifying tissues, particularly cancerous tissues. AI-aided methods for analyzing these WSIs have become increasingly important to enhance diagnostic precision and high throughput processing. However, WSIs have gigapixel resolution, leading to computational...

Retinal color fundus photography (CFP) is an imaging technique for capturing detailed images of the back of the eye, including the retina, optic nerve and blood vessels. CFP is non-invasive and offers a safe and painless means to diagnose and monitor a variety of eye conditions such as retinopathy, glaucoma and macular degeneration. High quality retinal...

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...

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...

Non-mydriatic retinal color fundus photography (CFP) is widely used in clinical settings, primarily because it doesn’t require pupillary dilation. However, CFP has quality issues due to operator errors, imperfections and patient-related causes. Further, medical providers often have difficulty collecting paired low-high quality CFP. Most denoising...

In human vision, varying amounts of neural resources are devoted to visual fields. Retinotopic mapping uses fMRI to give a projection of the visual field and its cortical representation in a subject. Cortical magnification factor (CMF) is a common measure of the ratio of the cortical areas devoted to each region of the visual field, to show visual acuity...

Sensory maps of the human brain are of great scientific interest and could have important medical applications. The sensory areas of the brain, including the auditory cortex, visual cortex, and more, contain topographical representations of the sensory space. Functional magnetic resonance imaging (fMRI) signals can produce subject-specific cortical...

Medical imaging is an important tool for diagnosis and customizing treatment of patients with various ailments. Functional MRIs (fMRIs) for the brain have been advanced greatly, enabling imaging to create detailed maps that show a spatial organization of neuronal responses to different stimuli. However, these current practices are qualitative and...