89 citations · 89 across the 2 of their papers we have counts for
7 papers
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
Ujjwal Baid, Satyam Ghodasara, Suyash Mohan +100
The BraTS 2021 challenge celebrates its 10th anniversary and is jointly organized by the Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR)…
A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT
Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky +7
Machine learning (ML) holds great promise in transforming healthcare. While published studies have shown the utility of ML models in interpreting medical imaging examinations, thes…
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging
Hojjat Salehinejad, Edward Ho, Hui-Ming Lin +10
Fractures of the cervical spine are a medical emergency and may lead to permanent paralysis and even death. Accurate diagnosis in patients with suspected fractures by computed tomo…
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…
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…
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…