[HTML][HTML] POLYCORE: Polygon-based contour refinement for improved Intravascular Ultrasound Segmentation

KM Bransby, R Bajaj, A Ramasamy, M Çap… - Computers in Biology …, 2024 - Elsevier
Segmentation of the coronary vessel wall in intravascular ultrasound is a fundamental step
in guiding coronary intervention. However, it is an challenging task, even for highly skilled …

Machine Learning Approaches for Fine-Grained Symptom Estimation in Schizophrenia: A Comprehensive Review

NM Foteinopoulou, I Patras - arXiv preprint arXiv:2310.16677, 2023 - arxiv.org
Schizophrenia is a severe yet treatable mental disorder, it is diagnosed using a multitude of
primary and secondary symptoms. Diagnosis and treatment for each individual depends on …

Deep Learning-based 3D Coronary Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections

Y Wang, A Banerjee, RP Choudhury, V Grau - arXiv preprint arXiv …, 2024 - arxiv.org
Cardiovascular diseases (CVDs) are the most common cause of death worldwide. Invasive x-
ray coronary angiography (ICA) is one of the most important imaging modalities for the …

[HTML][HTML] NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation

Y Wang, A Banerjee, V Grau - Bioengineering, 2024 - mdpi.com
Cardiovascular diseases (CVDs) are the most common health threats worldwide. 2D X-ray
invasive coronary angiography (ICA) remains the most widely adopted imaging modality for …

Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography

X Sun, T Belmpas, O Senouf, E Abbé… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Early prediction of future clinical events from invasive coronary angiography (ICA) remains a
daily challenge in clinical routine practice. In this study, we hypothesize that stenosis's …

Research on Advanced Lesion Segmentation Method by Integrating Graph Convolutional Networks and HarDNet

L Luo, W Yang - Proceedings of the 5th International Conference on …, 2024 - dl.acm.org
With the advancement of computer vision technology, the automated segmentation of polyps
is crucial for the early diagnosis of colorectal cancer. This study proposes a novel polyp …