Zhuoyao Xie
Guangzhou, China
Last Updated: 09/26/2026
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Found 16 publications
MRI-based interpretable deep learning radiomics for predicting treatment response in axial spondyloarthritis.
Journal: European journal of radiology
Published: December 05, 2025
Multicentre MRI-based machine learning model for noninvasive prediction of pulmonary metastasis in osteosarcoma integrating intra-tumoral heterogeneity features.
Journal: European journal of radiology
Published: December 04, 2025
Large-scale multi-sequence pretraining for generalizable MRI analysis in versatile clinical applications.
Journal: Nature biomedical engineering
Published: August 15, 2025
A universal foundation model for grounded biomedical image interpretation.
Journal: Nature communications
Published: July 07, 2025
Multimodal deep learning model for predicting microsatellite instability in colorectal cancer by contrast-enhanced computed tomography and histopathology.
Journal: European journal of radiology
Published: June 06, 2025
Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study.
Journal: EClinicalMedicine
Published: May 31, 2025
Enhanced diagnosis of axial spondyloarthritis using machine learning with sacroiliac joint MRI: a multicenter study.
Journal: Insights into imaging
Published: November 07, 2024
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI.
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: April 20, 2024
Artificial intelligence improves the diagnosis of human leukocyte antigen (HLA)-B27-negative axial spondyloarthritis based on multi-sequence magnetic resonance imaging and clinical features.
Journal: Quantitative imaging in medicine and surgery
Published: April 12, 2024
Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning.
Journal: Insights into imaging
Published: December 22, 2023
A radiograph-based deep learning model improves radiologists' performance for classification of histological types of primary bone tumors: A multicenter study.
Journal: European journal of radiology
Published: September 25, 2023
Learning co-plane attention across MRI sequences for diagnosing twelve types of knee abnormalities.
Journal: Nature communications
Published: August 02, 2023
Last Updated: 09/26/2026