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Biography

I am a PhD candidate at the College of Medicine and Biological Information Engineering, Northeastern University.

My research focuses on computer-aided diagnosis (Machine learning, especially convolutional network, transformer) of lung disease mainly using CT, X-ray, and non-imaging data sources of Radiomic, and clinical information.

My homepage is : https://wuyanan513.github.io/

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Yanan Wu's Projects

airway icon airway

Automatic classification of tertiary bronchi based on bronchus masks using a rule-based approach.

basic_unet_example icon basic_unet_example

An example project of how to use a U-Net for segmentation on medical images with PyTorch.

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

copd_slic icon copd_slic

Simple linear iterative clustering (SLIC) in a region of interest (ROI)

coronary-artery-tracking-via-3d-cnn-classification icon coronary-artery-tracking-via-3d-cnn-classification

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

haar icon haar

Performs Haar wavelet decomposition of images using filterbanks (MatLab)

machine-learning-stanford-coursera icon machine-learning-stanford-coursera

Exercises and source code of the MOOC Course on Coursera for Machine Learning by Stanford University. The course was taught by Prof. Andrew Ng.

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