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Chengwei Pan

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

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Health Data Science|March 15, 2024
Advances in Deep Learning-Based Medical Image AnalysisXiaoqing Liu, Kunlun Gao, Bo Liu, et al.
STAR Protocols|March 6, 2025
Protocol for processing multivariate time-series electronic health records of COVID-19 patientsZixiang Wang, Yinghao Zhu, Dehao Sui, et al.
Cerebrovascular Diseases (Basel, Switzerland)|November 11, 2020
Reliability and Reproducibility of the Diameters Method in Rapid Determination of Acute Infarct Volume in Magnetic Resonance Diffusion-Weighted ImagingXiaoQing Cheng, QuanHui Liu, JiaQian Shi, et al.
European Radiology|November 28, 2020
Comparison of automated and manual DWI-ASPECTS in acute ischemic stroke: total and region-specific assessmentXiaoQing Cheng, XiaoQin Su, JiaQian Shi, et al.
NPJ Digital Medicine|April 8, 2026
ClinicRealm: Re-evaluating large language models with conventional machine learning for non-generative clinical prediction tasksYinghao Zhu, Junyi Gao, Zixiang Wang, et al.
The Journal of Nutritional Biochemistry|November 25, 2019
Probiotic culture supernatant improves metabolic function through FGF21-adiponectin pathway in miceQi Liu, Yunhuan Liu, Fengyuan Li, et al.
Radiology. Artificial Intelligence|March 19, 2025
Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT AngiographyZhao Shi, Bin Hu, Mengjie Lu, et al.
Nature Communications|December 1, 2020
A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography imagesZhao Shi, Chongchang Miao, U Joseph Schoepf, et al.
The Lancet. Digital Health|March 22, 2024
A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation studyBin Hu, Zhao Shi, Li Lu, et al.
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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.
Health Data Science|March 15, 2024
Advances in Deep Learning-Based Medical Image AnalysisXiaoqing Liu, Kunlun Gao, Bo Liu, et al.
STAR Protocols|March 6, 2025
Protocol for processing multivariate time-series electronic health records of COVID-19 patientsZixiang Wang, Yinghao Zhu, Dehao Sui, et al.
Cerebrovascular Diseases (Basel, Switzerland)|November 11, 2020
Reliability and Reproducibility of the Diameters Method in Rapid Determination of Acute Infarct Volume in Magnetic Resonance Diffusion-Weighted ImagingXiaoQing Cheng, QuanHui Liu, JiaQian Shi, et al.
European Radiology|November 28, 2020
Comparison of automated and manual DWI-ASPECTS in acute ischemic stroke: total and region-specific assessmentXiaoQing Cheng, XiaoQin Su, JiaQian Shi, et al.
NPJ Digital Medicine|April 8, 2026
ClinicRealm: Re-evaluating large language models with conventional machine learning for non-generative clinical prediction tasksYinghao Zhu, Junyi Gao, Zixiang Wang, et al.
The Journal of Nutritional Biochemistry|November 25, 2019
Probiotic culture supernatant improves metabolic function through FGF21-adiponectin pathway in miceQi Liu, Yunhuan Liu, Fengyuan Li, et al.
Radiology. Artificial Intelligence|March 19, 2025
Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT AngiographyZhao Shi, Bin Hu, Mengjie Lu, et al.
Nature Communications|December 1, 2020
A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography imagesZhao Shi, Chongchang Miao, U Joseph Schoepf, et al.
The Lancet. Digital Health|March 22, 2024
A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation studyBin Hu, Zhao Shi, Li Lu, et al.
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