Duyệt Minh Do, PhD. theo Năm xuất bản

Hiển thị tài liệu từ 1-3 của 3

Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver

Nguyen, Trong N.; Podkowa, Anthony S.; Park, Trevor H.; Miller, Rita J.; Do, Minh N.; Oelze, Michael L. (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 ...
Multimodal fusion using sparse CCA for breast cancer survival prediction

Subramanian, Vaishnavi; Syeda-Mahmood, Tanveer; Do, N. Minh (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

Markowitz, Spencer; Snyder, Corey; Eldar, Yonina C.; Do, N. Minh (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 ...