Yongmei Li

发表

A Novel Blood Inflammatory Indicator for Predicting Deterioration Risk of Mild Traumatic Brain Injury

P. Lei, Wenzhu Li, Fang-lian Chen, 2022, Frontiers in Aging Neuroscience.

Correlation between Pancreatic Duct Variation and Related Diseases: An Effective Method Observing the Dual-Energy CT with Low-keV Monoenergetic Images

Jiao Zhang, G. Yan, Xiaoli Hu, 2023, Diagnostics.

Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review

M. A. Mcclure, Yongmei Li, Hongwei Li, 2022, Frontiers in Medicine.

Undifferentiated carcinoma of the pancreas with osteoclast-like giant cells: a rare case report and review of the literature.

Y. Li, Yongmei Li, S. Sah, 2015, International journal of clinical and experimental pathology.

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.

Cerebellar connectome alterations and associated genetic signatures in multiple sclerosis and neuromyelitis optica spectrum disorder

Chunshui Yu, Kuncheng Li, N. Muhlert, 2023, Journal of Translational Medicine.

Brain age gap in neuromyelitis optica spectrum disorders and multiple sclerosis

F. Barkhof, Y. Duan, F. Zhou, 2022, Journal of Neurology, Neurosurgery, and Psychiatry.

Prediction of Hemorrhagic Complication after Thrombolytic Therapy Based on Multimodal Data from Multiple Centers: An Approach to Machine Learning and System Implementation

Shaoguo Cui, Yongmei Li, Haojie Song, 2022, Journal of personalized medicine.

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).

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.

Deep Learning Provides a New Magnetic Resonance Imaging-Based Prognostic Biomarker for Recurrence Prediction in High-Grade Serous Ovarian Cancer

Shaoguo Cui, Jie Wang, Yi Tang, 2023, Diagnostics.

Dual-energy CT of the pancreas: comparison between virtual non-contrast images and true non-contrast images in the detection of pancreatic lesion

Zhiwei Zhang, Silin Du, Yang Zhou, 2023, Abdominal 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.

Automatic Evaluating of Multi-Phase Cranial CTA Collateral Circulation Based on Feature Fusion Attention Network Model

Shanxiong Chen, Duo Tan, Jiayang Liu, 2023, IEEE Transactions on NanoBioscience.

Pleural effusion volume in patients with acute pancreatitis: a retrospective study from three acute pancreatitis centers

M. A. Mcclure, Yongmei Li, Hongwei Li, 2021, Annals of medicine.

A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma

Shaoguo Cui, Liqiang Zhang, Zhi Liu, 2023, European radiology.

Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma

Hongfan Liao, Hongwei Liang, Yongmei Li, 2023, Insights into imaging.