427 citations · 3.3k across the 77 of their papers we have counts for
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Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography
Hongming Shan, Rodrigo de Barros Vimieiro, Lucas Rodrigues Borges +2
Digital mammography is still the most common imaging tool for breast cancer screening. Although the benefits of using digital mammography for cancer screening outweigh the risks as…
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Zhizhong Huang, Jie Chen, Junping Zhang +1
Existing deep clustering methods rely on either contrastive or non-contrastive representation learning for downstream clustering task. Contrastive-based methods thanks to negative…
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
Zhizhong Huang, Junping Zhang, Yi Zhang +1
LDCT has drawn major attention in the medical imaging field due to the potential health risks of CT-associated X-ray radiation to patients. Reducing the radiation dose, however, de…
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Zhizhong Huang, Shouzhen Chen, Junping Zhang +1
Age progression and regression aim to synthesize photorealistic appearance of a given face image with aging and rejuvenation effects, respectively. Existing generative adversarial…
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
Yiqun Liu, Yi Zeng, Jian Pu +3
Gait recognition plays a vital role in human identification since gait is a unique biometric feature that can be perceived at a distance. Although existing gait recognition methods…
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Zexin Lu, Wenjun Xia, Yongqiang Huang +4
Lowering the radiation dose in computed tomography (CT) can greatly reduce the potential risk to public health. However, the reconstructed images from the dose-reduced CT or low-do…
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
Zhizhong Huang, Junping Zhang, Hongming Shan
To minimize the effects of age variation in face recognition, previous work either extracts identity-related discriminative features by minimizing the correlation between identity-…
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu, Hongming Shan, Ge Wang
The similarity among samples and the discrepancy between clusters are two crucial aspects of image clustering. However, current deep clustering methods suffer from the inaccurate e…
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning
Zhizhong Huang, Junping Zhang, Hongming Shan
Although impressive results have been achieved for age progression and regression, there remain two major issues in generative adversarial networks (GANs)-based methods: 1) conditi…
Meta ordinal weighting net for improving lung nodule classification
Yiming Lei, Hongming Shan, Junping Zhang
The progression of lung cancer implies the intrinsic ordinal relationship of lung nodules at different stages-from benign to unsure then to malignant. This problem can be solved by…