57 citations · 70 across the 4 of their papers we have counts for
4 papers
PartDiff: Image Super-resolution with Partial Diffusion Models
Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang +2
Denoising diffusion probabilistic models (DDPMs) have achieved impressive performance on various image generation tasks, including image super-resolution. By learning to reverse th…
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI
Alex Ling Yu Hung, Haoxin Zheng, Qi Miao +3
Prostate cancer is the second leading cause of cancer death among men in the United States. The diagnosis of prostate MRI often relies on the accurate prostate zonal segmentation.…
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention
Yongkai Liu, Guang Yang, Sohrab Afshari Mirak +7
Our main objective is to develop a novel deep learning-based algorithm for automatic segmentation of prostate zone and to evaluate the proposed algorithm on an additional independe…
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer
Jie Fu, Xinran Zhong, Ning Li +6
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and survival prediction. Our goal is to compare the handcrafted (explicitly designed…