Weilin Fu
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Time Series Analysis in American Stock Market Recovering in Post COVID-19 Pandemic Period Open
: Every financial crisis has caused a dual shock to the global economy. The shortage of market liquidity, such as default in debt and bonds, has led to the spread of bankruptcies, such as Lehman Brothers in 2008. Using the data for the ETF…
View article: Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach Open
Comparison of microvascular circulation on fundoscopic images is a non-invasive clinical indication for the diagnosis and monitoring of diseases, such as diabetes and hypertensions. The differences between intra-patient images can be asses…
View article: Analyzing an Imitation Learning Network for Fundus Image Registration\n Using a Divide-and-Conquer Approach
Analyzing an Imitation Learning Network for Fundus Image Registration\n Using a Divide-and-Conquer Approach Open
Comparison of microvascular circulation on fundoscopic images is a\nnon-invasive clinical indication for the diagnosis and monitoring of diseases,\nsuch as diabetes and hypertensions. The differences between intra-patient\nimages can be as…
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation Open
Retinal vessel segmentation is an essential step for fundus image analysis. With the recent advances of deep learning technologies, many convolutional neural networks have been applied in this field, including the successful U-Net. In this…
Lesson Learnt: Modularization of Deep Networks Allow Cross-Modality Reuse Open
Fundus photography and Optical Coherence Tomography Angiography (OCT-A) are two commonly used modalities in ophthalmic imaging. With the development of deep learning algorithms, fundus image processing, especially retinal vessel segmentati…
Bayesian Symbolic Regression Open
Interpretability is crucial for machine learning in many scenarios such as quantitative finance, banking, healthcare, etc. Symbolic regression (SR) is a classic interpretable machine learning method by bridging X and Y using mathematical e…
A Divide-and-Conquer Approach towards Understanding Deep Networks Open
Deep neural networks have achieved tremendous success in various fields including medical image segmentation. However, they have long been criticized for being a black-box, in that interpretation, understanding and correcting architectures…
Protection of Chinese traditional knowledge in the backdrop of the Na-goya Protocol: A case study on acid tea of the De’ang Minority Open
China entered the Nagoya Protocol on September 6, 2016, signaling its establishment of the regime regarding protection of genetic resources and associated traditional knowledge as well as the Access and Benefit Sharing system (ABS) at both…
Frangi-Net: A Neural Network Approach to Vessel Segmentation Open
In this paper, we reformulate the conventional 2-D Frangi vesselness measure into a pre-weighted neural network ("Frangi-Net"), and illustrate that the Frangi-Net is equivalent to the original Frangi filter. Furthermore, we show that, as a…