Codes for multi-grid reconstruction on micro-CT scanner
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Updated
Jul 1, 2017 - Python
Codes for multi-grid reconstruction on micro-CT scanner
General deep learning-based fast image registration framework for clinical thoracic 4D CT data
Main idea of this project was making some new data using simple registration technique from existing CT data. This code be a possible alternative of arbitrary augmentation such as flip, rotation, zoom etc.
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Learned Primal-Dual Reconstruction
A set of tools to analyze the curvature of colon segmentations.
Computer Tomography simulation using radon transform.
Workflow-centred open-source fully automated lung volumetry in chest CT.
Code for COVID19 CT labeling. Submillimetric CT dataset provided as well.
Checks for differences between two log files generated by the Bruker SkyScan 1272 microCT
Screening for COVID-19 Infections using CT (Computed Tomography) and Chest X-Ray (CXR) images
Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images
Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN
3D VQ-VAE-2 for high-resolution CT scan synthesis
Preprocess head CT scans using python!
Scripts for my master thesis.
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