Menghong Wang
Guangzhou, China
Last Updated: 09/26/2026
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Found 8 publications
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
Identification of osteoid and chondroid matrix mineralization in primary bone tumors using a deep learning fusion model based on CT and clinical features: a multi-center retrospective study
Journal: Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Published: December 26, 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
Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study.
Journal: European radiology
Published: July 31, 2023
Showing 1-8 of 8
Last Updated: 09/26/2026