ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training

no code implementations • 5 Jun 2022 • Xiaofeng Liu, Fangxu Xing, Nadya Shusharina, Ruth Lim, C-C Jay Kuo, Georges El Fakhri, Jonghye Woo

Unsupervised domain adaptation (UDA) has been vastly explored to alleviate domain shifts between source and target domains, by applying a well-performed model in an unlabeled target domain via supervision of a labeled source domain.

Image Segmentation MRI segmentation +4

Visualization, Discriminability and Applications of Interpretable Saak Features

no code implementations • 25 Feb 2019 • Abinaya Manimaran, Thiyagarajan Ramanathan, Suya You, C-C Jay Kuo

In this work, we study the power of Saak features as an effort towards interpretable deep learning.

General Classification Image Classification

Robustness Of Saak Transform Against Adversarial Attacks

no code implementations • 7 Feb 2019 • Thiyagarajan Ramanathan, Abinaya Manimaran, Suya You, C-C Jay Kuo

This work investigates the robustness of Saak transform against adversarial attacks towards high performance image classification.

Adversarial Robustness Classification +3