10 citations · 27 across the 6 of their papers we have counts for
6 papers
Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis
Xiao Qi, David J. Foran, John L. Nosher +1
Under the global COVID-19 crisis, accurate diagnosis of COVID-19 from Chest X-ray (CXR) images is critical. To reduce intra- and inter-observer variability, during the radiological…
Augmenting endometriosis analysis from ultrasound data with deep learning
Adrian Balica, Jennifer Dai, Kayla Piiwaa +5
Endometriosis is a non-malignant disorder that affects 176 million women globally. Diagnostic delays result in severe dysmenorrhea, dyspareunia, chronic pelvic pain, and infertilit…
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
Xiao Qi, David J. Foran, John L. Nosher +1
The role of chest X-ray (CXR) imaging, due to being more cost-effective, widely available, and having a faster acquisition time compared to CT, has evolved during the COVID-19 pand…
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images
Xiao Qi, John L. Nosher, David J. Foran +1
Computed tomography (CT) and chest X-ray (CXR) have been the two dominant imaging modalities deployed for improved management of Coronavirus disease 2019 (COVID-19). Due to faster…
Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network
Xiao Qi, Lloyd Brown, David J. Foran +1
Recently, the outbreak of the novel Coronavirus disease 2019 (COVID-19) pandemic has seriously endangered human health and life. Due to limited availability of test kits, the need…
Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images
Zhongping Ji, Xiao Qi, Yigang Wang +3
3D content creation is referred to as one of the most fundamental tasks of computer graphics. And many 3D modeling algorithms from 2D images or curves have been developed over the…