48 citations · 169 across the 49 of their papers we have counts for
4 papers · 1 filter
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Hui Che, Sumana Ramanathan, David Foran +3
With the success of deep learning-based methods applied in medical image analysis, convolutional neural networks (CNNs) have been investigated for classifying liver disease from ul…
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…
Multi-Feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data
Hui Che, Jared Radbel, Jag Sunderram +3
The global pandemic of the novel coronavirus disease 2019 (COVID-19) has put tremendous pressure on the medical system. Imaging plays a complementary role in the management of pati…
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu +1
Over the past decade, Deep Convolutional Neural Networks have been widely adopted for medical image segmentation and shown to achieve adequate performance. However, due to the inhe…