no code implementations • 24 Sep 2018 • Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee
The images generated from a cylindrical transform augment a limited annotated set of images in three dimensions.
no code implementations • 29 Dec 2017 • Hojjat Salehinejad, Sharan Sankar, Joseph Barfett, Errol Colak, Shahrokh Valaee
Recurrent neural networks (RNNs) are capable of learning features and long term dependencies from sequential and time-series data.
no code implementations • 8 Nov 2017 • Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Errol Colak, Joseph Barfett
Medical datasets are often highly imbalanced with over-representation of common medical problems and a paucity of data from rare conditions.
no code implementations • 24 Aug 2017 • Hojjat Salehinejad, Shahrokh Valaee, Aren Mnatzakanian, Tim Dowdell, Joseph Barfett, Errol Colak
Radiology reports are an important means of communication between radiologists and other physicians.
no code implementations • 14 Aug 2017 • Hojjat Salehinejad, Shahrokh Valaee, Timothy Dowdell, Joseph Barfett
We propose a sampling method based on the radial transform in a polar coordinate system for image augmentation to facilitate the training of deep learning models from limited source data.
no code implementations • 7 Aug 2017 • Hojjat Salehinejad, Joseph Barfett, Parham Aarabi, Shahrokh Valaee, Errol Colak, Bruce Gray, Tim Dowdell
Pathfinding in hospitals is challenging for patients, visitors, and even employees.