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Dong Ni

Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos
2026 · Jieyun Bai, Zihao Zhou, et al. · Medical Image Analysis · 3
The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016)
2016 · Shaoqing Wang, Xiancun Yang, et al. · BMC Medical Imaging · 2
Identification of preeclampsia-associated immune-related risk loci in the Chinese population
2026 · Chenhong Xu, Lu Zhou, et al. · Taiwanese Journal of Obstetrics and Gynecology · 1
Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos
2026 · Bai, Jieyun, Zhou, Zihao, et al. · arXiv (Cornell University) · 1
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Polymorphism in maternal HLA-DRB5 is associated with the risk of preeclampsia in Chinese population
2023 · Chenhong Xu, Lu Zhou, et al. · Research Square · 1
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Automated measurement and diagnosis of fetal ventriculomegaly in ultrasound using deep learning
2026 · Xiaomei Tang, Huanwen Liang, et al. · BMC Medical Imaging
Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound
2026 · Huanwen Liang, Yuhao Huang, et al. · Lecture notes in computer science
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Foundation Model-Driven Key Anatomy Frame Selection for Blind-Sweep Ultrasound Fetal Birth Weight Estimation
2026 · Le Ou, Xiliang Zhu, et al. · Lecture notes in computer science
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AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis
2026 · Jian Wang, Yang Yang, et al. · Lecture notes in computer science
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Deep Learning-based Intelligent Diagnosis of Congenital Uterine Anomalies in 3-D Ultrasound
2026 · Yueyue Xu, Yuhao Huang, et al. · Ultrasound in Medicine & Biology
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Cross-Modal Ultrasound-MRI Learning for Fetal Brain Ventricular Volumetry and Abnormality Screening
2026 · Huang, Yuhao, Zhang, Yuanji, et al. · arXiv (Cornell University)
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Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s Disease
2020 · Travis S. Johnson, Shunian Xiang, et al. · Research Square
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Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s Disease
2020 · Travis S. Johnson, Shunian Xiang, et al.
Combinatorial analyses reveal that cellular composition changes have different impact on transcriptomic changes of cell type specific genes in Alzheimer’s Disease brains
2020 · Shunian Xiang, Travis Johnson, et al. · Research Square
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Works count: 14
Citation count: 8
H-index: 2
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