Browsing Minh Do, PhD. by Title
Now showing items 1-5 of 5
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Multimodal fusion using sparse CCA for breast cancer survival prediction
(2021-04-13)Effective understanding of diseases like cancer necessitates integrating diverse information across various physical scales through multimodal data. In this study, we introduce a novel feature embedding module based on ... -
Multimodal unrolled robust PCA for background-foreground separation
(2022)Background foreground separation (BFS) is a critical computer vision task aimed at distinguishing dynamic foreground objects from static backgrounds. While consumer cameras are widely used due to their affordability, high ... -
Towards a Comprehensive Solution for a Vision-Based Digitized Neurological Examination
(2022-08-08)The ability to use digitally recorded and quantified neurological exam information is important to help healthcare systems deliver better care, in-person and via telehealth, as they compensate for a growing shortage of ... -
Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver
(2020-10-30)Quantitative ultrasound (QUS) was used to classify rabbits that were induced to have liver disease by placing them on a fatty diet for a defined duration and/or periodically injecting them with CCl4. The ground truth of ... -
Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver
(2022-03-01)Quantitative ultrasound (QUS) was used to classify rabbits that were induced to have liver disease by placing them on a fatty diet for a defined duration and/or periodically injecting them with CCl4. The ground truth of ...
