Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world.
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): A detailed review with direction for future research
Since early 2020, the whole world has been facing the deadly and highly contagious
disease named coronavirus disease (COVID-19) and the World Health Organization …
disease named coronavirus disease (COVID-19) and the World Health Organization …
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system
The sudden outbreak of novel coronavirus 2019 (COVID-19) increased the diagnostic
burden of radiologists. In the time of an epidemic crisis, we hope artificial intelligence (AI) to …
burden of radiologists. In the time of an epidemic crisis, we hope artificial intelligence (AI) to …
Bilevel online adaptation for out-of-domain human mesh reconstruction
This paper considers a new problem of adapting a pre-trained model of human mesh
reconstruction to out-of-domain streaming videos. However, most previous methods based …
reconstruction to out-of-domain streaming videos. However, most previous methods based …
Out-of-domain human mesh reconstruction via dynamic bilevel online adaptation
We consider a new problem of adapting a human mesh reconstruction model to out-of-
domain streaming videos, where the performance of existing SMPL-based models is …
domain streaming videos, where the performance of existing SMPL-based models is …
A review of 3D human body pose estimation and mesh recovery
Abstract 3D human body pose estimation and mesh recovery refer to the approximation of
body parts and joint locations and their recovery into a 3D model to visualize the …
body parts and joint locations and their recovery into a 3D model to visualize the …
Heuristic Weakly Supervised 3D Human Pose Estimation
Monocular 3D human pose estimation from RGB images has attracted significant attention in
recent years. However, recent models depend on supervised training with 3D pose ground …
recent years. However, recent models depend on supervised training with 3D pose ground …
Confidence sharing adaptation for out-of-domain human pose and shape estimation
T Yue, K Ren, Y Shi, H Zhao, Q Bian - Computer Vision and Image …, 2024 - Elsevier
Abstract 3D human pose and shape estimation is often impacted by distribution bias in real-
world scenarios due to factors such as bone length, camera parameters, background, and …
world scenarios due to factors such as bone length, camera parameters, background, and …
Inverse Kinematics Embedded Network for Robust Patient Anatomy Avatar Reconstruction From Multimodal Data
Patient modelling has a wide range of applications in medicine and healthcare, such as
clinical teaching, surgery navigation and automatic robotized scanning. While patients are …
clinical teaching, surgery navigation and automatic robotized scanning. While patients are …
Updating Depth-aware Feature in the Feedback Loop for Human Mesh Recovery
Recently, depth ambiguity reduction has made significant progress in monocular human
mesh reconstruction. However, regression-based methods struggle to perceive minor depth …
mesh reconstruction. However, regression-based methods struggle to perceive minor depth …