14 citations · 32 across the 3 of their papers we have counts for
3 papers
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging
Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov +3
Image corruption by motion artifacts is an ingrained problem in Magnetic Resonance Imaging (MRI). In this work, we propose a neural network-based regularization term to enhance Aut…
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
To accelerate MRI, the field of compressed sensing is traditionally concerned with optimizing the image quality after a partial undersampling of the measurable -space.…
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices
Alexander Karimov, Artem Razumov, Ruslana Manbatchurina +5
Deep neural networks show high accuracy in theproblem of semantic and instance segmentation of biomedicaldata. However, this approach is computationally expensive. Thecomputational…