Search Results for author:
Found 2 papers, 0 papers with code
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications
Our proposed model integrates high dimensional MRI features from a 3D convolutional neural network with other data modalities, including clinical and demographic information, to predict the future trajectory of patients.
The Animation Transformer: Visual Correspondence via Segment Matching
Visual correspondence is a fundamental building block on the way to building assistive tools for hand-drawn animation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
