Minh Do is currently on leave from the University of Illinois at Urbana-Champaign (UIUC) serving as the Vice Provost of VinUniversity. Since 2002, he has been on the faculty at UIUC, where he is currently the Thomas and Margaret Huang Endowed Professor in Signal Processing & Data Science in the Department of Electrical and Computer Engineering, and holds affiliate appointments with the Coordinated Science Laboratory, the Beckman Institute for Advanced Science and Technology, the Department of Bioengineering, and the Department of Computer Science.

Các tài liệu mới cập nhật

  • 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 ...
  • 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 ...
  • 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 ...

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