2 papers
cs.CV2021
Unpaired Depth Super-Resolution in the Wild
Aleksandr Safin, Maxim Kan, Nikita Drobyshev +5
Depth maps captured with commodity sensors are often of low quality and resolution; these maps need to be enhanced to be used in many applications. State-of-the-art data-driven met…
q-bio.NC2020
Interpretation of 3D CNNs for Brain MRI Data Classification
Maxim Kan, Ruslan Aliev, Anna Rudenko +6
Deep learning shows high potential for many medical image analysis tasks. Neural networks can work with full-size data without extensive preprocessing and feature generation and, t…