Yida Wang
Shanghai Key Laboratory Of Magnetic Resonance
Shanghai, China
Shanghai, China
Last Updated: 09/26/2026
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Found 20 publications
Using partially shared radiomics features to simultaneously identify isocitrate dehydrogenase mutation status and epilepsy in glioma patients from MRI images.
Journal: Scientific reports
Published: October 18, 2024
Both intra- and peri-tumoral radiomics signatures can be used to predict lymphatic vascular space invasion and lymphatic metastasis positive status from endometrial cancer MR imaging.
Journal: Abdominal radiology (New York)
Published: March 28, 2024
Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi-Parametric MRI by Deep Learning.
Journal: Journal of magnetic resonance imaging : JMRI
Published: December 21, 2023
Enhancing Nigrosome-1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging.
Journal: Journal of magnetic resonance imaging : JMRI
Published: October 18, 2023
Determination of p53abn endometrial cancer: a multitask analysis using radiological-clinical nomogram on MRI.
Journal: The British journal of radiology
Published: June 23, 2023
A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI.
Journal: Journal of magnetic resonance imaging : JMRI
Published: February 07, 2023
An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and T1-weighted images.
Journal: Human brain mapping
Published: September 27, 2022
Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging.
Journal: Scientific reports
Published: August 27, 2022
Dynamic contrast-enhanced magnetic resonance imaging in epithelial ovarian tumor categorization: comparison with apparent diffusion coefficient histogram analysis and the tumor cell proliferation marker.
Journal: American journal of translational research
Published: July 28, 2022
Author Correction: A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures.
Journal: Scientific reports
Published: July 12, 2022
A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures.
Journal: Scientific reports
Published: February 25, 2022
Automated Segmentation of Midbrain Structures in High-Resolution Susceptibility Maps Based on Convolutional Neural Network and Transfer Learning.
Journal: Frontiers in neuroscience
Published: October 25, 2021
Last Updated: 09/26/2026