Jingjie Wang

发表

Clinical Variables, Deep Learning and Radiomics Features Help Predict the Prognosis of Adult Anti-N-methyl-D-aspartate Receptor Encephalitis Early: A Two-Center Study in Southwest China

Yongmei Li, Silin Du, Yongliang Han, 2022, Frontiers in Immunology.

Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke

T. Luo, Hua Xiong, Jingjie Wang, 2022, Diagnostics.

Estimation of ischemic core in acute ischemic stroke with CT angiography and non-contrast CT: Attenuation changes in ASPECTS regions vs. automated ASPECTS scoring

Yongmei Li, Zhiwei Zhang, Yuling Peng, 2022, Frontiers in Neuroscience.

Early life stress affects limited regional brain activity in depression

L. Du, Yongmei Li, Fajin Lv, 2016, Scientific Reports.

CT features and analysis for misdiagnosis of parotid tuberculosis.

Xiaoqing Shi, Yongmei Li, Ping Yin, 2016, Clinical imaging.

Alterations in White Matter Fiber Tracts Characterized by Automated Fiber-Tract Quantification and Their Correlations With Cognitive Impairment in Neuromyelitis Optica Spectrum Disorder Patients

Yongmei Li, Yongliang Han, Jingjie Wang, 2022, Frontiers in Neuroscience.

Structural abnormalities and altered regional brain activity in multiple sclerosis with simple spinal cord involvement.

Yongmei Li, Ping Yin, Yongliang Han, 2018, The British journal of radiology.

Abnormal Baseline Brain Activity in Patients With Multiple Sclerosis With Simple Spinal Cord Involvement Detected by Resting-State Functional Magnetic Resonance Imaging

Yongmei Li, Ping Yin, C. Zeng, 2015, Journal of computer assisted tomography.

CT characterization of hepatic tuberculosis

Xiaoqing Shi, Yongmei Li, Xian Li, 2017 .

Functional connectivity impairment of postcentral gyrus in relapsing-remitting multiple sclerosis with somatosensory disorder.

Yongmei Li, C. Zeng, Jingjie Wang, 2019, European journal of radiology.

CCA4CTA: A Hybrid Attention Mechanism based Convolutional Network for Analysing Collateral Circulation via Multi-phase Cranial CTA

Jingjie Wang, Shanxiong Chen, Duo Tan, 2022, IEEE International Conference on Bioinformatics and Biomedicine.

Altered brain structural topological properties and its correlations with clinical characteristics in episodic migraine without aura

Yongmei Li, Yuling Peng, C. Zeng, 2021, Neuroradiology.

Altered structural networks in neuromyelitis optica spectrum disorder related with cognition impairment and clinical features.

Yongmei Li, Yongliang Han, C. Zeng, 2020, Multiple sclerosis and related disorders.

Prediction of unenhanced lesion evolution in multiple sclerosis using radiomics-based models: a machine learning approach.

Yongmei Li, Huan Liu, Yineng Zheng, 2021, Multiple sclerosis and related disorders.

Iron deposition in the precentral grey matter in patients with multiple sclerosis: a quantitative study using susceptibility-weighted imaging.

T. Luo, Yongmei Li, Fajin Lv, 2013, European journal of radiology.

Comparison of two computed tomography perfusion post-processing software to assess infarct volume in patients with acute ischemic stroke

T. Luo, Yongmei Li, Jing Li, 2023, Frontiers in Neuroscience.

Iron deposition of the deep grey matter in patients with multiple sclerosis and neuromyelitis optica: a control quantitative study by 3D-enhanced susceptibility-weighted angiography (ESWAN).

T. Luo, Yongmei Li, Fajin Lv, 2012, European Journal of Radiology.

MBH-Net: Multi-branch Hybrid Network with Auxiliary Attention Guidance for Large Vessel Occlusion Detection

Jingjie Wang, Shanxiong Chen, Duo Tan, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Significant Slowed Cortical Venous Blood Flow in Patients with Acute Ischemic Stroke with Large Vessel Occlusion Suggests Poor Collateral Circulation and Prognosis.

Yongmei Li, T. Luo, Jing Li, 2022, Academic radiology.

A clinical–radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: a multicenter study

Hanjian Li, Xili Jiang, Lifeng Li, 2023, Insights into Imaging.

Association of the placenta accreta spectrum score and estimated blood loss in placenta accreta spectrum patients with placenta previa: a retrospective cohort study

Qiuling Xia, Jingjie Wang, Yi Xu, 2022, Journal of Anesthesia.

Iron deposition in the gray matter in patients with relapse-remitting multiple sclerosis: A longitudinal study using three-dimensional (3D)-enhanced T2*-weighted angiography (ESWAN).

Yongmei Li, Silin Du, C. Zeng, 2015, European journal of radiology.

Imaging features of cardioembolic stroke on 4-dimensional computed tomography angiography

Jing Li, Hua Xiong, Jingjie Wang, 2023, Quantitative imaging in medicine and surgery.

Comparison of Three Algorithms for Predicting Infarct Volume in Patients with Acute Ischemic Stroke by CT Perfusion Software: Bayesian, CSVD, and OSVD

T. Luo, Jing Li, Jingjie Wang, 2023, Diagnostics.