8 citations · 74 across the 45 of their papers we have counts for
14 papers · 1 filter
Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor
Jiaqi Guo, Yunan Wu, Evangelos Kaimakamis +4
With the advent of the COVID-19 pandemic, ultrasound imaging has emerged as a promising technique for COVID-19 detection, due to its non-invasive nature, affordability, and portabi…
RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations
Jiaqi Guo, Santiago Lopez-Tapia, Wing Shun Li +7
Computed tomography is a widely used imaging modality with applications ranging from medical imaging to material analysis. One major challenge arises from the lack of scanning info…
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models
Xijun Wang, Santiago López-Tapia, Alice Lucas +3
Generative Adversarial Networks (GANs) have shown great performance on super-resolution problems since they can generate more visually realistic images and video frames. However, t…
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation
Tom Liu, Hui Lin, Aggelos K. Katsaggelos +1
Coronary angiography remains the gold standard for diagnosis of coronary artery disease, the most common cause of death worldwide. While this procedure is performed more than 2 mil…
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
Hui Lin, Tom Liu, Aggelos Katsaggelos +1
Coronary angiography continues to serve as the primary method for diagnosing coronary artery disease (CAD), which is the leading global cause of mortality. The severity of CAD is q…
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez +2
Multiple Instance Learning (MIL) has been widely applied to medical imaging diagnosis, where bag labels are known and instance labels inside bags are unknown. Traditional MIL assum…