Three-dimensional electron microscopy (3DEM) is an essential technique t...
Multi-view datasets offer diverse forms of data that can enhance predict...
We present Sauron, a filter pruning method that eliminates redundant fea...
We present a novel adversarial distortion learning (ADL) for denoising t...
Machine learning techniques typically applied to dementia forecasting la...
Background and Objective: Advances in electron microscopy (EM) now allow...
The Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) i...
We present MedicDeepLabv3+, a convolutional neural network that is the f...
We propose Region-wise (RW) loss for biomedical image segmentation.
Regi...
Transfer learning refers to machine learning techniques that focus on
ac...
Research on decision support applications in healthcare, such as those
r...
We present the findings of "The Alzheimer's Disease Prediction Of
Longit...
Segmentation of rodent brain lesions on magnetic resonance images (MRIs)...
Shape decomposition is a fundamental problem in geometry processing wher...
We develop a cylindrical shape decomposition (CSD) algorithm to decompos...
We propose a four-layer fully-connected neural network (FNN) for predict...
We propose a novel classifier accuracy metric: the Bayesian Area Under t...
Manual segmentation of rodent brain lesions from magnetic resonance imag...