Mayidili Nijiati
Kashgar, China
Last Updated: 09/26/2026
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Found 22 publications
Deep learning based automated HER2 score prediction using immunohistochemistry histopathological images: a dual-center study.
Journal: Frontiers in physiology
Published: April 29, 2026
Interpretable machine learning models for bladder cancer overall survival prediction development and external validation via SEER database and Chinese cohort analysis.
Journal: Discover oncology
Published: January 13, 2026
Computer-aided detection of equivocal spinal tuberculosis on X-ray using a YOLOv11-based deep learning model.
Journal: Frontiers in public health
Published: January 05, 2026
Multimodal-Imaging-Based Interpretable Deep Learning Framework for Distinguishing Brucella from Tuberculosis Spondylitis: A Dual-Center Study.
Journal: Diagnostics (Basel, Switzerland)
Published: September 28, 2025
Efficacy of artificial intelligence-based FFR technology for coronary CTA stenosis detection in clinical management of coronary artery disease: a systematic review.
Journal: Frontiers in physiology
Published: May 27, 2025
Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT Angiography.
Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT Angiography.
Journal: Radiology. Artificial intelligence
Published: March 19, 2025
MRI-based deep learning with clinical and imaging features to differentiate medulloblastoma and ependymoma in children.
Journal: Frontiers in molecular biosciences
Published: February 04, 2025
Multimodal imaging-based interpretable radiomics for differentiating brucella and tuberculosis spondylitis: a two-center study.
Journal: BMC infectious diseases
Published: January 27, 2025
A deep learning radiomics model based on CT images for predicting the biological activity of hepatic cystic echinococcosis.
Journal: Frontiers in physiology
Published: May 18, 2024
Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning.
Journal: BMC infectious diseases
Published: March 29, 2024
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study.
Journal: Academic radiology
Published: February 08, 2024
Differentiation between cerebral alveolar echinococcosis and brain metastases with radiomics combined machine learning approach.
Journal: European journal of medical research
Published: August 28, 2023
Last Updated: 09/26/2026