no code implementations • 30 Dec 2021 • Shuxin Yang, Xian Wu, Shen Ge, Shaohua Kevin Zhou, Li Xiao
In this paper, we propose a knowledge-enhanced radiology report generation approach introduces two types of medical knowledge: 1) General knowledge, which is input independent and provides the broad knowledge for report generation; 2) Specific knowledge, which is input dependent and provides the fine-grained knowledge for report generation.
1 code implementation • 4 Dec 2020 • Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, Shaohua Kevin Zhou, Rama Chellappa
A radiograph visualizes the internal anatomy of a patient through the use of X-ray, which projects 3D information onto a 2D plane.
no code implementations • CVPR 2019 • Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou
The linkage between the sigogram and image domains is a novel Radon inversion layer that allows the gradients to back-propagate from the image domain to the sinogram domain during training.
no code implementations • 9 Dec 2018 • Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Shaohua Kevin Zhou
Using catheter ablation to treat atrial fibrillation increasingly relies on intracardiac echocardiography (ICE) for an anatomical delineation of the left atrium and the pulmonary veins that enter the atrium.
no code implementations • 9 Dec 2018 • Haofu Liao, Zhimin Huo, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo
We present an effective post-processing method to reduce the artifacts from sparsely reconstructed cone-beam CT (CBCT) images.
no code implementations • 12 Sep 2017 • Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa
First, a weakly-supervised face region localization network is designed to automatically detect regions (or parts) specific to attributes.
no code implementations • 21 Sep 2016 • Hui Ding, Shaohua Kevin Zhou, Rama Chellappa
In this paper, we present FaceNet2ExpNet, a novel idea to train an expression recognition network based on static images.
Ranked #1 on Facial Expression Recognition (FER) on CK+
no code implementations • ICCV 2015 • Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou
Our experiments on generating T1-MRI brain scans from T2-MRI and vice versa demonstrate that the synthesis capability of the proposed unsupervised approach is comparable to various state-of-the-art supervised approaches in the literature.
1 code implementation • 11 Jul 2013 • Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and inhomogeneous intensities.