176 citations · 871 across the 49 of their papers we have counts for
5 papers · 2 filters
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
Vishal Monga, Yuelong Li, Yonina C. Eldar
Deep neural networks provide unprecedented performance gains in many real world problems in signal and image processing. Despite these gains, future development and practical deplo…
Deep Retinal Image Segmentation with Regularization Under Geometric Priors
Venkateswararao Cherukuri, Vijay Kumar BG, Raja Bala +1
Vessel segmentation of retinal images is a key diagnostic capability in ophthalmology. This problem faces several challenges including low contrast, variable vessel size and thickn…
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
Venkateswararao Cherukuri, Tiantong Guo, Steve. J. Schiff +1
High resolution Magnetic Resonance (MR) images are desired for accurate diagnostics. In practice, image resolution is restricted by factors like hardware and processing constraints…
Deep Algorithm Unrolling for Blind Image Deblurring
Yuelong Li, Mohammad Tofighi, Junyi Geng +2
Blind image deblurring remains a topic of enduring interest. Learning based approaches, especially those that employ neural networks have emerged to complement traditional model ba…
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection
Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala +1
Cell nuclei detection is a challenging research topic because of limitations in cellular image quality and diversity of nuclear morphology, i.e. varying nuclei shapes, sizes, and o…