84 citations · 160 across the 7 of their papers we have counts for
7 papers
3D Vessel Segmentation with Limited Guidance of 2D Structure-agnostic Vessel Annotations
Huai Chen, Xiuying Wang, Lisheng Wang
Delineating 3D blood vessels is essential for clinical diagnosis and treatment, however, is challenging due to complex structure variations and varied imaging conditions. Supervise…
Unsupervised Local Discrimination for Medical Images
Huai Chen, Renzhen Wang, Xiuying Wang +7
Contrastive learning, which aims to capture general representation from unlabeled images to initialize the medical analysis models, has been proven effective in alleviating the hig…
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19
Guoqing Bao, Huai Chen, Tongliang Liu +4
There is an urgent need for automated methods to assist accurate and effective assessment of COVID-19. Radiology and nucleic acid test (NAT) are complementary COVID-19 diagnosis me…
Unsupervised Learning of Local Discriminative Representation for Medical Images
Huai Chen, Jieyu Li, Renzhen Wang +5
Local discriminative representation is needed in many medical image analysis tasks such as identifying sub-types of lesion or segmenting detailed components of anatomical structure…
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma
Huai Chen, Yuxiao Qi, Yong Yin +5
Segmentation of nasopharyngeal carcinoma (NPC) from Magnetic Resonance Images (MRI) is a crucial prerequisite for NPC radiotherapy. However, manually segmenting of NPC is time-cons…
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
Yi-Jie Huang, Qi Dou, Zi-Xian Wang +6
Segmentation of colorectal cancerous regions from 3D Magnetic Resonance (MR) images is a crucial procedure for radiotherapy which conventionally requires accurate delineation of tu…
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Heran Yang, Jian Sun, Huibin Li +2
Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of method…