Accès ouvert
2025
article
OpenAlex
M Zhou, Jingjing Zhao, Xinyu Chen, Zunming Zhang et autres
Label-free single-cell 3D imaging is essential for accurate phenotyping by minimizing perturbations to native cellular states and facilitating downstream molecular analyses. Among the available modalities, 3D forward-scattering (dark-field) imaging offers the richest subcellular details but faces challenges from strong transmitted-beam interference. We …
us, cn
(code pays fourni par la source)
2025
article
OpenAlex
Ziqi Zhou, Jing Fang, Jiapeng Niu
The convolutional neural network (CNN) is currently the most popular model for predicting traffic accident severity. Existing studies typically convert numerical data into single-channel images using dimensionality reduction techniques, which are then used as input for CNN-based prediction models. In this study, …
cn
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Quan Zhang, Fan Zhang, Jisheng Zhang, Zhou Zhou et autres
Addressing the open-road testing requirements for Intelligent Connected Vehicles (ICVs) and integrating testing scenarios from intelligent transportation and ICVs comprehensive test application demonstration base, the current study proposes a scoring system for quantitatively assessing driving behavior, establishes a multi-faceted testing process that …
at, cn, no
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Quan Zhang, Fan Zhang, Jisheng Zhang, Xiaoyi Li et autres
This paper delves into the research on standardized representation of highway bridges within the geospatial information context, aiming to establish a bridge data model tailored for applications in high-precision digital base maps. Initially, by analyzing the requirements for digital representation of bridges …
at, cn, no
(code pays fourni par la source)
Accès ouvert
2025
preprint
OpenAlex
Junyu Shi, Minghui Li, Zhifei Yu, Yipeng Lin et autres
Deepfakes, leveraging advanced AIGC (Artificial Intelligence-Generated Content) techniques, create hyper-realistic synthetic images and videos of human faces, posing a significant threat to the authenticity of social media. While this real-world threat is increasingly prevalent, existing academic evaluations and benchmarks for detecting deepfake …
Accès ouvert
2025
article
OpenAlex
Ziqi Zhou, Zhaoyu Lai, Rui Tang, Xinyu Chen et autres
As an emerging platform gaining significant attention from the biomedical community, multiplexed fluorescent imaging from imaging flow cytometry enables simultaneous detection of numerous biological targets within a single cell. Due to the spectral overlap, signals from one fluorophore can bleed into other …
us
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Yun Zhang, Ziqi Zhou, Yuguang Yang
Medical image segmentation of brain tumors is a crucial aspect of medical image analysis with direct implications for diagnosis and treatment decisions. In this study, we systematically evaluated the performance of U-Net and its variants (Dense U-Net, DeepResU-Net) on the BraTS18 dataset. …
cn, us
(code pays fourni par la source)
Accès ouvert
2022
article
OpenAlex
Jun Ma, Yao Zhang, Song Gu, Xingle An et autres
Automatic segmentation of abdominal organs in CT scans plays an important role in clinical practice. However, most existing benchmarks and datasets only focus on segmentation accuracy, while the model efficiency and its accuracy on the testing cases from different medical centers have …
cn, no, at, gb, au, us, vn, fr, ae
(code pays fourni par la source)