(Current) Research interests: Home
Deep Learning for Inverse Problems in Image Processing
Sparsity based Signal Processing and its Applications
Image denoising
and image superresolution applications of deep
learning
Image reconstruction (MR,
tomographic imaging etc.) applications of sparse signal processing and deep
learning.
Dictionary learning.
Analysis operator learning.
Sparse adaptive signal
processing.
Compressed sensing.
Some example papers:
-
novel U-Net model for deep MR image reconstruction
-3D deep LSTM network
for moving object segmentation
- dictionary
learning for classification
- sparsifying transform learning