most citedDeep 3D Vessel Segmentation based on Cross Transformer Network

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20231 cited

Identity-Preserving Talking Face Generation with Landmark and Appearance Priors

Weizhi Zhong, Chaowei Fang, Yinqi Cai +4

Generating talking face videos from audio attracts lots of research interest. A few person-specific methods can generate vivid videos but require the target speaker's videos for tr…

cs.CV2022

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization

Lingfeng Li, Huaiwei Cong, Gangming Zhao +3

In recent years, several works have adopted the convolutional neural network (CNN) to diagnose the avascular necrosis of the femoral head (AVNFH) based on X-ray images or magnetic…

eess.IV20221 cited

Deep 3D Vessel Segmentation based on Cross Transformer Network

Chengwei Pan, Baolian Qi, Gangming Zhao +4

The coronary microvascular disease poses a great threat to human health. Computer-aided analysis/diagnosis systems help physicians intervene in the disease at early stages, where 3…

cs.CV2022

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis

Gangming Zhao, Quanlong Feng, Chaoqi Chen +2

During clinical practice, radiologists often use attributes, e.g. morphological and appearance characteristics of a lesion, to aid disease diagnosis. Effectively modeling attribute…

cs.CV2022

Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Chengwei Pan, Gangming Zhao, Junjie Fang +6

Although deep learning algorithms have been intensively developed for computer-aided tuberculosis diagnosis (CTD), they mainly depend on carefully annotated datasets, leading to mu…