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Shaoguo Cui

Showing results (1-10 of 12) with videos related to

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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|July 22, 2011
[Denoising worm artifacts of elastogram using 2-D wavelet shrinkage]Shaoguo Cui, Dongquan Liu
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 25, 2011
Noise reduction for ultrasonic elastography using transmit-side frequency compounding: a preliminary studyShaoguo Cui, Dong C Liu
Journal of Healthcare Engineering|May 15, 2018
Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural NetworkShaoguo Cui, Lei Mao, Jingfeng Jiang, et al.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|September 1, 2024
[A lightweight recurrence prediction model for high grade serous ovarian cancer based on hierarchical transformer fusion metadata]Shaoguo Cui, Yibo Tang, Haoming Wan, et al.
European Radiology Experimental|January 15, 2025
Deep learning of noncontrast CT for fast prediction of hemorrhagic transformation of acute ischemic stroke: a multicenter studyHuanhuan Ren, Haojie Song, Shaoguo Cui, et al.
IEEE Journal of Biomedical and Health Informatics|December 22, 2023
S3-Net: A Self-Supervised Dual-Stream Network for Radiology Report GenerationRenjie Pan, Ruisheng Ran, Wei Hu, et al.
Academic Radiology|October 27, 2024
Deep Learning Using One-stop-shop CT Scan to Predict Hemorrhagic Transformation in Stroke Patients Undergoing Reperfusion Therapy: A Multicenter StudyHuanhuan Ren, Haojie Song, Jiayang Liu, et al.
Journal of Personalized Medicine|December 23, 2022
Prediction of Hemorrhagic Complication after Thrombolytic Therapy Based on Multimodal Data from Multiple Centers: An Approach to Machine Learning and System ImplementationShaoguo Cui, Haojie Song, Huanhuan Ren, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Deep Learning Provides a New Magnetic Resonance Imaging-Based Prognostic Biomarker for Recurrence Prediction in High-Grade Serous Ovarian CancerLili Liu, Haoming Wan, Li Liu, et al.
European Radiology|August 8, 2023
A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytomaLiqiang Zhang, Rui Wang, Jueni Gao, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|July 22, 2011
[Denoising worm artifacts of elastogram using 2-D wavelet shrinkage]Shaoguo Cui, Dongquan Liu
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 25, 2011
Noise reduction for ultrasonic elastography using transmit-side frequency compounding: a preliminary studyShaoguo Cui, Dong C Liu
Journal of Healthcare Engineering|May 15, 2018
Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural NetworkShaoguo Cui, Lei Mao, Jingfeng Jiang, et al.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|September 1, 2024
[A lightweight recurrence prediction model for high grade serous ovarian cancer based on hierarchical transformer fusion metadata]Shaoguo Cui, Yibo Tang, Haoming Wan, et al.
European Radiology Experimental|January 15, 2025
Deep learning of noncontrast CT for fast prediction of hemorrhagic transformation of acute ischemic stroke: a multicenter studyHuanhuan Ren, Haojie Song, Shaoguo Cui, et al.
IEEE Journal of Biomedical and Health Informatics|December 22, 2023
S3-Net: A Self-Supervised Dual-Stream Network for Radiology Report GenerationRenjie Pan, Ruisheng Ran, Wei Hu, et al.
Academic Radiology|October 27, 2024
Deep Learning Using One-stop-shop CT Scan to Predict Hemorrhagic Transformation in Stroke Patients Undergoing Reperfusion Therapy: A Multicenter StudyHuanhuan Ren, Haojie Song, Jiayang Liu, et al.
Journal of Personalized Medicine|December 23, 2022
Prediction of Hemorrhagic Complication after Thrombolytic Therapy Based on Multimodal Data from Multiple Centers: An Approach to Machine Learning and System ImplementationShaoguo Cui, Haojie Song, Huanhuan Ren, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Deep Learning Provides a New Magnetic Resonance Imaging-Based Prognostic Biomarker for Recurrence Prediction in High-Grade Serous Ovarian CancerLili Liu, Haoming Wan, Li Liu, et al.
European Radiology|August 8, 2023
A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytomaLiqiang Zhang, Rui Wang, Jueni Gao, et al.
Pageof 2