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Profil bibliographique

Ziqi Zhou

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

8Publications signalées
163Citations signalées
5Affiliations récentes

Les institutions déclarées

Les domaines associés

Medical Image Segmentation TechniquesMicrofluidic and Bio-sensing TechnologiesSingle-cell and spatial transcriptomicsCell Image Analysis TechniquesAdvanced Neural Network Applications

Les publications récentes

Accès ouvert 2025 article OpenAlex

Three-dimensional forward-scattering imaging flow cytometry system for single-cell analysis

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)

0 citations APL Photonics
2025 article OpenAlex

Converting structured data to point cloud data: A traffic accident severity prediction model based on sparse 3D convolution

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)

0 citations Journal of Transportation Safety & Security
2025 conference-paper OpenAlex

A Platform Solution for Supervision and Evaluation of Open-Road Testing for Intelligent and Connected Vehicles

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)

0 citations
2025 conference-paper OpenAlex

Research on the Specification for Representing Bridge Geographic Elements in High-Precision Digital Maps for Highways

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)

0 citations
Accès ouvert 2025 preprint OpenAlex

Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces

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 …

0 citations arXiv (Cornell University)
Accès ouvert 2025 article OpenAlex

Highly Efficient Calibration‐Free Color Compensation Algorithm for Imaging Flow Cytometry

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)

0 citations Cytometry Part A
2024 conference-paper OpenAlex

Performance evaluation of brain tumor segmentation based on U-Net hybrid model

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)

0 citations IET conference proceedings.
Accès ouvert 2022 article OpenAlex

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

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)

163 citations Medical Image Analysis

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