Yida Wang

发表

Differentiation of Treatment-Related Effects from Glioma Recurrence Using Machine Learning Classifiers Based Upon Pre-and Post-Contrast T1WI and T2 FLAIR Subtraction Features: A Two-Center Study

Wenting Rui, Shiman Wu, Xin-Yi Gao, 2020, Cancer management and research.

Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institution

Xiaojun Chen, Yida Wang, Guang Yang, 2020, European Radiology.

A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures

Xiaotian Li, Yida Wang, Guang Yang, 2022, Scientific Reports.

Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis

Dongmei Wu, Jianqi Li, Yida Wang, 2023, PloS one.

FeAture Explorer (FAE): A tool for developing and comparing radiomics models

Xu Yan, Ying Hou, Yida Wang, 2020, PloS one.

MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols

Yida Wang, Guang Yang, Guofu Zhang, 2022, Journal of Ovarian Research.

Automated Segmentation of Midbrain Structures in High-Resolution Susceptibility Maps Based on Convolutional Neural Network and Transfer Learning

Yi Wang, Jianqi Li, K. Gillen, 2022, Frontiers in Neuroscience.

Radiomics Feature Analysis of Cartilage and Subchondral Bone in Differentiating Knees Predisposed to Posttraumatic Osteoarthritis after Anterior Cruciate Ligament Reconstruction from Healthy Knees

Hongyue Tao, Shuang Chen, Yida Wang, 2021, BioMed research international.

A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI

Yang Song, Yida Wang, Guang Yang, 2023, Journal of magnetic resonance imaging : JMRI.

Author Correction: A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures

Xiaotian Li, Yida Wang, Guang Yang, 2022, Scientific Reports.

An Intelligent Denoising Method for Nuclear Magnetic Resonance Logging Measurement Based on Residual Network

Yida Wang, Yang Zhang, Tingting Lin, 2023, IEEE Transactions on Instrumentation and Measurement.

Radiomics for the Prediction of Epilepsy in Patients With Frontal Glioma

Guohua Zhao, Jingliang Cheng, Yong Zhang, 2021, Frontiers in Oncology.

Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis

Yun Liu, Yida Wang, Guangze Yang, 2022, ArXiv.

High-resolution CT image analysis based on 3D convolutional neural network can enhance the classification performance of radiologists in classifying pulmonary non-solid nodules.

Tong-fu Yu, Yingli Sun, Yida Wang, 2021, European journal of radiology.

A two-step automated quality assessment for liver MR images based on convolutional neural network.

Fang Wang, Yang Song, Jingjing Sun, 2020, European journal of radiology.

Reduction of Gibbs artifacts in magnetic resonance imaging based on Convolutional Neural Network

Guang Yang, Yang Song, Yida Wang, 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and T1‐weighted images

E. Haacke, Jingliang Cheng, Shengdi Chen, 2023, Human brain mapping.

Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging

Yida Wang, Guang Yang, Liangqing Yao, 2023, Scientific Reports.

Enhancing Nigrosome-1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging.

Zenghui Cheng, N. He, Zhijia Jin, 2024, Journal of magnetic resonance imaging : JMRI.

SAMMed: A medical image annotation framework based on large vision model

Yun Liu, Guang Yang, Yida Wang, 2023, ArXiv.