65 citations · 100 across the 18 of their papers we have counts for
4 papers · 1 filter
Perceptual deep depth super-resolution
Oleg Voynov, Alexey Artemov, Vage Egiazarian +4
RGBD images, combining high-resolution color and lower-resolution depth from various types of depth sensors, are increasingly common. One can significantly improve the resolution o…
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang +6
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collectio…
fMRI: preprocessing, classification and pattern recognition
Maxim Sharaev, Alexander Andreev, Alexey Artemov +5
As machine learning continues to gain momentum in the neuroscience community, we witness the emergence of novel applications such as diagnostics, characterization, and treatment ou…
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry
Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva +5
We consider a problem of diagnostic pattern recognition/classification from neuroimaging data. We propose a common data analysis pipeline for neuroimaging-based diagnostic classifi…