8 citations · 10 across the 4 of their papers we have counts for
5 papers
Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in CT
Wenao Ma, Shuang Zheng, Lei Zhang +2
Despite the remarkable success on medical image analysis with deep learning, it is still under exploration regarding how to rapidly transfer AI models from one dataset to another f…
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
Jie Liang, Hui Zeng, Lei Zhang
Efficient and effective real-world image super-resolution (Real-ISR) is a challenging task due to the unknown complex degradation of real-world images and the limited computation r…
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution
Jie Liang, Hui Zeng, Lei Zhang
Single image super-resolution (SISR) with generative adversarial networks (GAN) has recently attracted increasing attention due to its potentials to generate rich details. However,…
Noise control and utility: from regulatory network to spatial patterning
Qing Nie, Lingxia Qiao, Yuchi Qiu +2
Stochasticity (or noise) at cellular and molecular levels has been observed extensively as a universal feature for living systems. However, how living systems deal with noise while…
An Adaptive Markov Random Field for Structured Compressive Sensing
Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong +4
Exploiting intrinsic structures in sparse signals underpins the recent progress in compressive sensing (CS). The key for exploiting such structures is to achieve two desirable prop…