activity
20172021
most citedGaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

59 citations · 77 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV20216 cited

Cross-modal Attention for MRI and Ultrasound Volume Registration

Xinrui Song, Hengtao Guo, Xuanang Xu +6

Prostate cancer biopsy benefits from accurate fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images. In the past few years, convolutional neural networks (CNNs…

cs.CV2021

AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray

Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao +5

Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision. However, most existing deep learning models only look a…

eess.IV2021

Task-Oriented Low-Dose CT Image Denoising

Jiajin Zhang, Hanqing Chao, Xuanang Xu +3

The extensive use of medical CT has raised a public concern over the radiation dose to the patient. Reducing the radiation dose leads to increased CT image noise and artifacts, whi…

cs.CV20211 cited

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

Hanqing Chao, Kun Wang, Yiwei He +2

Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad applications in crime prevention, forensic identification, and social security. To portr…

cs.CV20203 cited

Robustified Domain Adaptation

Jiajin Zhang, Hanqing Chao, Pingkun Yan

Unsupervised domain adaptation (UDA) is widely used to transfer knowledge from a labeled source domain to an unlabeled target domain with different data distribution. While extensi…

eess.IV2020

Integrative Analysis for COVID-19 Patient Outcome Prediction

Hanqing Chao, Xi Fang, Jiajin Zhang +13

While image analysis of chest computed tomography (CT) for COVID-19 diagnosis has been intensively studied, little work has been performed for image-based patient outcome predictio…