Junfang F. Xian

Department Of Otorhinolaryngology Head And Neck Surgery
Beijing, China

Last Updated: 09/26/2026

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Found 178 publications

Validation of MRI-based nnU-Net model for automated segmentation of neck lymph nodes in head and neck squamous cell carcinoma: a multicenter study.

Validation of MRI-based nnU-Net model for automated segmentation of neck lymph nodes in head and neck squamous cell carcinoma: a multicenter study.

Journal: Neuroradiology

Published: February 26, 2026

Anatomy-Aware Sketch-Guided Latent Diffusion Model for Orbital Tumor Multi-Parametric MRI Missing Modalities Synthesis.

Anatomy-Aware Sketch-Guided Latent Diffusion Model for Orbital Tumor Multi-Parametric MRI Missing Modalities Synthesis.

Journal: IEEE transactions on medical imaging

Published: December 29, 2025

Multiparametric MRI radiomics model incorporating ADC improves differentiation of benign and malignant sinonasal tumors.

Multiparametric MRI radiomics model incorporating ADC improves differentiation of benign and malignant sinonasal tumors.

Journal: Neuroradiology

Published: November 24, 2025

Efficacy comparison of subsequent treatment modalities for locally advanced hypopharyngeal cancer with partial response to neoadjuvant chemotherapy

Efficacy comparison of subsequent treatment modalities for locally advanced hypopharyngeal cancer with partial response to neoadjuvant chemotherapy

Journal: Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery

Published: October 30, 2025

Deep learning outperformed radiomics based on MRI in the differentiation of sinonasal small round cell and non-small round cell malignant tumors.

Deep learning outperformed radiomics based on MRI in the differentiation of sinonasal small round cell and non-small round cell malignant tumors.

Journal: European journal of radiology

Published: October 01, 2025

Deep learning outperformed radiomics based on MRI in the differentiation of sinonasal small round cell and non-small round cell malignant tumors.

Deep learning outperformed radiomics based on MRI in the differentiation of sinonasal small round cell and non-small round cell malignant tumors.

Journal: European journal of radiology

Published: October 01, 2025

Discriminating orbital lymphoma from inflammation and correlating with histopathology using microstructure-based time-dependent diffusion MRI.

Discriminating orbital lymphoma from inflammation and correlating with histopathology using microstructure-based time-dependent diffusion MRI.

Journal: European journal of radiology

Published: September 12, 2025

A nomogram combining clinical variables and MR imaging features for predicting response in head-neck cancer.

A nomogram combining clinical variables and MR imaging features for predicting response in head-neck cancer.

Journal: Insights into imaging

Published: August 20, 2025

Leveraging vision transformer for histological grade prediction in laryngeal and hypopharyngeal squamous cell carcinoma: a large-scale multicenter study.

Leveraging vision transformer for histological grade prediction in laryngeal and hypopharyngeal squamous cell carcinoma: a large-scale multicenter study.

Journal: Neuroradiology

Published: July 30, 2025

Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories.

Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories.

Journal: bioRxiv : the preprint server for biology

Published: July 16, 2025

Multimodal hybrid mamba classification model for tumor pathological grade prediction using magnetic resonance images.

Multimodal hybrid mamba classification model for tumor pathological grade prediction using magnetic resonance images.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: June 25, 2025

Deep learning-based multimodal fusion of MRI and whole slide image for predicting neoadjuvant therapy response in locally advanced head and neck squamous cell carcinoma.

Deep learning-based multimodal fusion of MRI and whole slide image for predicting neoadjuvant therapy response in locally advanced head and neck squamous cell carcinoma.

Journal: BMC medical imaging

Published: June 21, 2025

Showing 1-12 of 178

Last Updated: 09/26/2026