176 citations · 871 across the 49 of their papers we have counts for
4 papers · 2 filters
Deep Networks with Shape Priors for Nucleus Detection
Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala +1
Detection of cell nuclei in microscopic images is a challenging research topic, because of limitations in cellular image quality and diversity of nuclear morphology, i.e. varying n…
Deep Image Super Resolution via Natural Image Priors
Hojjat S. Mousavi, Tiantong Guo, Vishal Monga
Single image super-resolution (SR) via deep learning has recently gained significant attention in the literature. Convolutional neural networks (CNNs) are typically learned to repr…
Orthogonally Regularized Deep Networks For Image Super-resolution
Tiantong Guo, Hojjat S. Mousavi, Vishal Monga
Deep learning methods, in particular trained Convolutional Neural Networks (CNNs) have recently been shown to produce compelling state-of-the-art results for single image Super-Res…
Bridging the Gap: Simultaneous Fine Tuning for Data Re-Balancing
John McKay, Isaac Gerg, Vishal Monga
There are many real-world classification problems wherein the issue of data imbalance (the case when a data set contains substantially more samples for one/many classes than the re…