The goal of this study is to create a simulation-trained convolutional neural network (CNN) that can detect and characterize stiffer tissue embedded in a softer …
Anterior cruciate ligament (ACL) disruption is a common injury, particularly in the young and active patient. ACL reconstruction surgery is the current standard of care, …
Recent machine learning techniques have become a powerful tool in a variety of tasks, including neural decoding. Artificial neural network models, particularly recurrent models, can …
Objective: To develop a neural network for the binary classification of cardiac arrest patient electroencephalograms (EEGs) between two categories: general periodic discharges (GPDs) or non-GPDs. …
Brain cancer remains a pervasive public health issue. The use of CNN’s to segment brain tumor images has gained significant traction since 2012; however, most …
Coordinated migration patterns emerge from the interactions of discrete individuals, ranging from self-propelled particles and mammalian cells at the microscopic scale to robots and animals …