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20172026
most citedHyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection

8 citations · 74 across the 45 of their papers we have counts for

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Showing eess.IVShow all

14 papers · 1 filter

eess.IV20252 cited

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…

eess.IV2024

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…

eess.IV20241 cited

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…

eess.IV20233 cited

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…

eess.IV20236 cited

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…

eess.IV2023

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…