Working Memory Inspired Hierarchical Video Decomposition with Transformative Representations
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Updated
May 5, 2022
Working Memory Inspired Hierarchical Video Decomposition with Transformative Representations
Angiogram segmentation is a process used in the field of medicine to analyze images of blood vessels and detect potential anomalies or diseases.
A simple simulation of Coronary arteries views
OCT-A ANALYSIS is an ImageJ macro that automates operations to analyze OCT-A angiograms. It is especially useful for case series studies. ➔Accelerate data collection ➔Improve the reproducibility of results
A command line tool for converting optical coherence tomography angiography (OCTA) data.
Virtual Angiography Toolkit
Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images
[ISVC'20] [Tensorflow] Generating Fluroscein Angiography from Fundus Photography using Conditional GAN
Deep learning-based automated TICI (Thrombolysis In Cerebral Infarction) scoring for DSA-based assessment of mechanical thrombolysis response.
[ICPR'20] [Tensorflow] Synthesizing Fluorescein Angiography from Retinal Fundus Images using Attention based GAN
A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24
Cerebrovascular Image Analysis - (Matlab) Toolkit
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