convnet ensemble ensemble-learning convolutional-neural-networks blood-vessels diabetic retinopathy angiography
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Mar 22, 2017 - Jupyter Notebook
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angiography
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A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24.
3d blood-vessels angiography synthetic-data optical-coherence-tomography synthetic-dataset-generation blood-vessel-segmentation
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Aug 19, 2025 - Python
Cerebrovascular Image Analysis - (Matlab) Toolkit
network image-processing medical-imaging automatic connectivity cta segmentation orientation trees enhancement centerline 3d mra geodesic angiography tensor-field vascular vessels neurovascular cerebrovascular
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Sep 18, 2022 - MATLAB
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Jul 23, 2024 - Python
Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images
machine-learning bioinformatics computer-vision deep-learning tensorflow keras cnn healthcare classification machine-vision medical-informatics medical-image-processing angiography health-informatics medical-application cardiovascular coronary-artery fractional-flow-reserve
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Dec 14, 2024 - Jupyter Notebook
Deep learning-based automated TICI (Thrombolysis In Cerebral Infarction) scoring for DSA-based assessment of mechanical thrombolysis response.
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Jun 9, 2022 - Python
A command line tool for converting optical coherence tomography angiography (OCTA) data.
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Mar 9, 2026 - Python
Virtual Angiography Toolkit
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Apr 3, 2020 - C++
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
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Mar 22, 2022 - ImageJ Macro
A simple simulation of Coronary arteries views
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Apr 30, 2022 - Rust
Stenosis detection in Invasive Coronariography Angiography imaging
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Jul 25, 2025 - Python
Working Memory Inspired Hierarchical Video Decomposition with Transformative Representations
video-processing background-subtraction robust-pca weakly-supervised-learning working-memory angiography interpretable-deep-learning low-rank-matrix-decomposition algorithm-unrolling transformative-representations blood-vessel-extraction moving-object-extraction
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May 5, 2022
Angiogram segmentation is a process used in the field of medicine to analyze images of blood vessels and detect potential anomalies or diseases.
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Jun 12, 2023 - Jupyter Notebook
Improve understanding of x-ray coronary angiography images in different quiz modules
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Aug 6, 2024 - Jupyter Notebook
[ICPR'20] [Tensorflow] Synthesizing Fluorescein Angiography from Retinal Fundus Images using Attention based GAN
keras generative-adversarial-network gan style-transfer generative-model gans generative-adversarial-networks retinal-images angiography image-to-image-translation retinal-fundus-images tensorlfow fundus-image-analysis tensorflow2 fluorescein-angiography icpr2020 retinal-diseases retinal-angiography
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May 20, 2021 - Python
CoroSAM is a deep learning framework for interactive coronary artery segmentation in coronary angiograms, built on a computationally efficient SAM-based architecture with custom convolutional adapters. This is the official implementation of the paper published in Computer Methods and Programs in Biomedicine.
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Nov 21, 2025 - Python
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