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Liying Qu

Showing results (11-20 of 19) with videos related to

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Neuro-Oncology|December 23, 2022
Deep learning based on preoperative magnetic resonance (MR) images improves the predictive power of survival models in primary spinal cord astrocytomasTing Sun, Yongzhi Wang, Xing Liu, et al.
AJNR. American Journal of Neuroradiology|December 11, 2023
Automated Determination of the H3 K27-Altered Status in Spinal Cord Diffuse Midline Glioma by Radiomics Based on T2-Weighted MR ImagesJunjie Li, YongZhi Wang, Jinyuan Weng, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 27, 2023
Prediction of H3K27M Alteration Status in Brainstem Glioma Using Multi-Shell Diffusion MRI MetricsXiaolu Xu, Peng Zhang, Zhizheng Zhuo, et al.
Nature Methods|September 11, 2024
Self-inspired learning for denoising live-cell super-resolution microscopyLiying Qu, Shiqun Zhao, Yuanyuan Huang, et al.
Optics Express|May 4, 2026
HERALDS: a flexible, high-resolution volumetric endoscopy-design, calibration, and performance evaluationDeer Su, Chen Hu, Guanying Liang, et al.
Light, Science & Applications|December 14, 2023
Quantitatively mapping local quality of super-resolution microscopy by rolling Fourier ring correlationWeisong Zhao, Xiaoshuai Huang, Jianyu Yang, et al.
Radiology. Artificial Intelligence|December 16, 2022
Automated Classification of Intramedullary Spinal Cord Tumors and Inflammatory Demyelinating Lesions Using Deep LearningZhizheng Zhuo, Jie Zhang, Yunyun Duan, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 24, 2023
Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR ImagingJunjie Li, Peng Zhang, Liying Qu, et al.
Science Bulletin|February 6, 2024
DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for trainingChenghao Liu, Zhizheng Zhuo, Liying Qu, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Neuro-Oncology|December 23, 2022
Deep learning based on preoperative magnetic resonance (MR) images improves the predictive power of survival models in primary spinal cord astrocytomasTing Sun, Yongzhi Wang, Xing Liu, et al.
AJNR. American Journal of Neuroradiology|December 11, 2023
Automated Determination of the H3 K27-Altered Status in Spinal Cord Diffuse Midline Glioma by Radiomics Based on T2-Weighted MR ImagesJunjie Li, YongZhi Wang, Jinyuan Weng, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 27, 2023
Prediction of H3K27M Alteration Status in Brainstem Glioma Using Multi-Shell Diffusion MRI MetricsXiaolu Xu, Peng Zhang, Zhizheng Zhuo, et al.
Nature Methods|September 11, 2024
Self-inspired learning for denoising live-cell super-resolution microscopyLiying Qu, Shiqun Zhao, Yuanyuan Huang, et al.
Optics Express|May 4, 2026
HERALDS: a flexible, high-resolution volumetric endoscopy-design, calibration, and performance evaluationDeer Su, Chen Hu, Guanying Liang, et al.
Light, Science & Applications|December 14, 2023
Quantitatively mapping local quality of super-resolution microscopy by rolling Fourier ring correlationWeisong Zhao, Xiaoshuai Huang, Jianyu Yang, et al.
Radiology. Artificial Intelligence|December 16, 2022
Automated Classification of Intramedullary Spinal Cord Tumors and Inflammatory Demyelinating Lesions Using Deep LearningZhizheng Zhuo, Jie Zhang, Yunyun Duan, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 24, 2023
Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR ImagingJunjie Li, Peng Zhang, Liying Qu, et al.
Science Bulletin|February 6, 2024
DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for trainingChenghao Liu, Zhizheng Zhuo, Liying Qu, et al.
Pageof 2