no code implementations • 9 May 2024 • Meixu Chen, Kai Wang, Michael Dohopolski, Howard Morgan, Jing Wang
The predicted image from the proposed method yielded the best similarity to the real image (CBCT21) over pCT, CBCT01, and predicted CBCTs from other comparison models.
no code implementations • 9 May 2024 • Meixu Chen, Kai Wang, Jing Wang
We also present Grad-TEAM, a Gradient-weighted Time-Event Activation Mapping approach specifically developed for deep survival model visual explanation, to generate patient-specific time-to-event activation maps.
1 code implementation • 24 May 2023 • Yunxiang Li, Meixu Chen, Wenxuan Yang, Kai Wang, Jun Ma, Alan C. Bovik, You Zhang
Image translation has wide applications, such as style transfer and modality conversion, usually aiming to generate images having both high degrees of realism and faithfulness.
no code implementations • 30 Mar 2022 • Meixu Chen, Richard Webb, Alan C. Bovik
In our learning based approach, we implement foveation by introducing a Foveation Generator Unit (FGU) that generates foveation masks which direct the allocation of bits, significantly increasing compression efficiency while making it possible to retain an impression of little to no additional visual loss given an appropriate viewing geometry.
1 code implementation • 29 Sep 2020 • Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik
Our framework exploits the regularities inherent to video motion, which we capture by using displaced frame differences as video representations to train the neural network.