Extended reality for biomedicine
J Yuan, SS Hassan, J Wu, CR Koger… - Nature Reviews …, 2023 - nature.com
Extended reality (XR) refers to an umbrella of methods that allows users to be immersed in a
3D or a 4D (spatial+ temporal) virtual environment to various extents, including virtual reality …
3D or a 4D (spatial+ temporal) virtual environment to various extents, including virtual reality …
DNA-framework-based multidimensional molecular classifiers for cancer diagnosis
A molecular classification of diseases that accurately reflects clinical behaviour lays the
foundation of precision medicine. The development of in silico classifiers coupled with …
foundation of precision medicine. The development of in silico classifiers coupled with …
Bioinformatics and the metaverse: are we ready?
S Taylor, S Soneji - Frontiers in Bioinformatics, 2022 - frontiersin.org
COVID-19 forced humanity to think about new ways of working globally without physically
being present with other people, and eXtended Reality (XR) systems (defined as Virtual …
being present with other people, and eXtended Reality (XR) systems (defined as Virtual …
Imperceptible and robust backdoor attack in 3d point cloud
With the thriving of deep learning in processing point cloud data, recent works show that
backdoor attacks pose a severe security threat to 3D vision applications. The attacker injects …
backdoor attacks pose a severe security threat to 3D vision applications. The attacker injects …
Imaging viral infection by fluorescence microscopy: Focus on HIV-1 early stage
During the last two decades, progresses in bioimaging and the development of various
strategies to fluorescently label the viral components opened a wide range of possibilities to …
strategies to fluorescently label the viral components opened a wide range of possibilities to …
[HTML][HTML] Small but mighty: Enhancing 3d point clouds semantic segmentation with u-next framework
We investigate the problem of 3D point clouds semantic segmentation. Recently, a large
amount of research work has focused on local feature aggregation. However, the …
amount of research work has focused on local feature aggregation. However, the …
Less is more: label recommendation for weakly supervised point cloud semantic segmentation
Weak supervision has proven to be an effective strategy for reducing the burden of
annotating semantic segmentation tasks in 3D space. However, unconstrained or heuristic …
annotating semantic segmentation tasks in 3D space. However, unconstrained or heuristic …
A noising-denoising framework for point cloud upsampling via normalizing flows
Point cloud upsampling aims to generate dense and uniform point cloud from the sparse
input point cloud. One challenge is how to flexibly upsample the sparse point cloud in …
input point cloud. One challenge is how to flexibly upsample the sparse point cloud in …
EdgePC: Efficient deep learning analytics for point clouds on edge devices
Recently, point cloud (PC) has gained popularity in modeling various 3D objects (including
both synthetic and real-life) and has been extensively utilized in a wide range of applications …
both synthetic and real-life) and has been extensively utilized in a wide range of applications …
Analyzing point cloud of coal mining process in much dust environment based on dynamic graph convolution neural network
Z Xing, S Zhao, W Guo, X Guo, S Wang, M Li… - … Science and Pollution …, 2023 - Springer
Environmental perception is an important research direction of coal mine sustainable
development. There is much dust in the underground working environment of coal mine …
development. There is much dust in the underground working environment of coal mine …