35 citations · 65 across the 6 of their papers we have counts for
6 papers
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior
Kaiwen Wan, Lei Li, Dengqiang Jia +9
Medical images are generally acquired with limited field-of-view (FOV), which could lead to incomplete regions of interest (ROI), and thus impose a great challenge on medical image…
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation
Shangqi Gao, Hangqi Zhou, Yibo Gao +1
Although supervised deep-learning has achieved promising performance in medical image segmentation, many methods cannot generalize well on unseen data, limiting their real-world ap…
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics
Shangqi Gao, Xiahai Zhuang
Modeling statistics of image priors is useful for image super-resolution, but little attention has been paid from the massive works of deep learning-based methods. In this work, we…
Rank-One Network: An Effective Framework for Image Restoration
Shangqi Gao, Xiahai Zhuang
The principal rank-one (RO) components of an image represent the self-similarity of the image, which is an important property for image restoration. However, the RO components of a…
Multi-scale deep neural networks for real image super-resolution
Shangqi Gao, Xiahai Zhuang
Single image super-resolution (SR) is extremely difficult if the upscaling factors of image pairs are unknown and different from each other, which is common in real image SR. To ta…
Single photon counting imaging system via compressive sensing
Wen-Kai Yu, Xue-Feng Liu, Xu-Ri Yao +5
An imaging system based on single photon counting and compressive sensing (ISSPCCS) is developed to reconstruct a sparse image in absolute darkness. The single photon avalanche det…