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Article
Open AccessA synchronized estimation of hourly surface concentrations of six criteria air pollutants with GEMS data
Machine learning is widely used to infer ground-level concentrations of air pollutants from satellite observations. However, a single pollutant is commonly targeted in previous explorations, which would lead t...
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Article
Open AccessWhere to place methane monitoring sites in China to better assist carbon management
Methane (CH4) is the second most potent greenhouse gas (GHG), and China emerges as the largest anthropogenic CH4 emitter by country. Current limited CH4 monitoring systems in China are unfortunately inadequate to...
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Chapter and Conference Paper
Learning Contextual and Attentive Information for Brain Tumor Segmentation
Thanks to the powerful representation learning ability, convolutional neural network has been an effective tool for the brain tumor segmentation task. In this work, we design multiple deep architectures of var...
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Chapter and Conference Paper
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
The model cascade strategy that runs a series of deep models sequentially for coarse-to-fine medical image segmentation is becoming increasingly popular, as it effectively relieves the class imbalance problem....
