An increasing amount of attention is being given to the structural and morphological aspects of biological function, and by extension the computational challenges necessa [...]

A multi-module diabetic retinopathy diagnostic system based on structural and angiographic optical coherence tomography using deep learning.

A major challenge in precision oncology is accurately modeling the molecular machinery that governs cellular sensitivity or resistance to a given drug or drug combination [...]

The sound of a person's voice is an important factor in human communication. VoiceConversion (VC) is a technology that modifies a source speaker's speech utterance to sou [...]

This work introduces novel methods in the field of deformable image registration, both classical and learning-based. A central theme of the work is leveraging Reproducing [...]

We explored voice conversion systems to improve speech intelligibility of 1) dysarthric speech and 2) laryngectomees. In the first case, we explore the potential of condi [...]

Optical coherence tomographic angiography (OCTA) has been successfully used in ophthalmol-ogy, providing noninvasive, non-dye-based, high-speed, and depth-resolved imagin [...]

Applied deep learning is an area that has been evolving rapidly in recent years and is now ubiquitous within the machine learning and artificial intelligence communities. [...]

Early life sleep disruption (ELSD) from P14-P21 in the socially monogamous prairie vole impacts adult social behavior (Jones et al, 2019). The use of automated tools to s [...]

Postural impairments constitute a common motor symptom of Parkinson’s disease (PD). While there is evidence that they might already be present pre-clinically, they are of [...]