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Potentials and challenges of polymer informatics: exploiting machine learning for polymer design
There has been rapidly growing demand of polymeric materials coming from...
10/15/2020 ∙ by Stephen Wu, et al. ∙
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A Bayesian algorithm for retrosynthesis
The identification of synthetic routes that end with a desired product h...
03/06/2020 ∙ by Zhongliang Guo, et al. ∙
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Recovering compressed images for automatic crack segmentation using generative models
In a structural health monitoring (SHM) system that uses digital cameras...
03/06/2020 ∙ by Yong Huang, et al. ∙
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Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans and Bayesian Inference
Glioblastoma is a highly invasive brain tumor, whose cells infiltrate su...
07/02/2018 ∙ by Jana Lipkova, et al. ∙
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Personalized Radiotherapy Design for Glioblastoma Using Mathematical Models, Multimodal Scans and Bayesian Inference
Glioblastoma is a highly invasive brain tumor, whose cells infiltrate su...
07/02/2018 ∙ by Jana Lipkova, et al. ∙
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Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration
Existing radiotherapy (RT) plans for brain tumors derive from population...
07/02/2018 ∙ by Jana Lipkova, et al. ∙
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Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals
The application of compressive sensing (CS) to structural health monitor...
03/28/2015 ∙ by Yong Huang, et al. ∙
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