most citedRecent Advances in Recurrent Neural Networks

585 citations · 585 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2018

Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images

Hojjat Salehinejad, Sumeya Naqvi, Errol Colak +2

In this paper, we propose a novel technique for sampling sequential images using a cylindrical transform in a cylindrical coordinate system for kidney semantic segmentation in abdo…

cs.NE2018★ 585 cited

Recent Advances in Recurrent Neural Networks

Hojjat Salehinejad, Sharan Sankar, Joseph Barfett +2

Recurrent neural networks (RNNs) are capable of learning features and long term dependencies from sequential and time-series data. The RNNs have a stack of non-linear units where a…

cs.CV2017

Interpretation of Mammogram and Chest X-Ray Reports Using Deep Neural Networks - Preliminary Results

Hojjat Salehinejad, Shahrokh Valaee, Aren Mnatzakanian +3

Radiology reports are an important means of communication between radiologists and other physicians. These reports express a radiologist's interpretation of a medical imaging exami…

cs.CV2017

Image Augmentation using Radial Transform for Training Deep Neural Networks

Hojjat Salehinejad, Shahrokh Valaee, Timothy Dowdell +1

Deep learning models have a large number of free parameters that must be estimated by efficient training of the models on a large number of training data samples to increase their…

cs.IR2017

A Convolutional Neural Network for Search Term Detection

Hojjat Salehinejad, Joseph Barfett, Parham Aarabi +4

Pathfinding in hospitals is challenging for patients, visitors, and even employees. Many people have experienced getting lost due to lack of clear guidance, large footprint of hosp…