Song Tian

Beijing, China

Last Updated: 09/26/2026

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Found 16 publications

Quantitative susceptibility mapping and MRS-based multimodal machine learning for early Parkinson's disease classification.

Quantitative susceptibility mapping and MRS-based multimodal machine learning for early Parkinson's disease classification.

Journal: NPJ Parkinson's disease

Published: November 14, 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

Multi-sequence MRI deep learning and habitat radiomics for predicting mismatch repair status and prognosis in colorectal liver metastasis: a multicenter study.

Multi-sequence MRI deep learning and habitat radiomics for predicting mismatch repair status and prognosis in colorectal liver metastasis: a multicenter study.

Journal: La Radiologia medica

Published: March 25, 2025

Dual-Time-Point Radiomics for Prognosis Prediction in Colorectal Liver Metastasis Treated with Neoadjuvant Therapy Before Radical Resection: A Two-Center Study.

Dual-Time-Point Radiomics for Prognosis Prediction in Colorectal Liver Metastasis Treated with Neoadjuvant Therapy Before Radical Resection: A Two-Center Study.

Journal: Annals of surgical oncology

Published: November 19, 2024

Correction to: Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Correction to: Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Journal: Neuroradiology

Published: July 31, 2024

Spectral CT-based nomogram for preoperative prediction of Lauren classification in locally advanced gastric cancer: a prospective study.

Spectral CT-based nomogram for preoperative prediction of Lauren classification in locally advanced gastric cancer: a prospective study.

Journal: European radiology

Published: April 17, 2024

Automated machine learning-based unenhanced radiomics for identification of HER2-low breast cancers using diffusion-weighted imaging.

Automated machine learning-based unenhanced radiomics for identification of HER2-low breast cancers using diffusion-weighted imaging.

Journal: BMC cancer

Published: March 09, 2024

Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Journal: Neuroradiology

Published: February 28, 2024

Novel 3D morphological characteristics for congenital biliary dilatation diagnosis: a case-control study.

Novel 3D morphological characteristics for congenital biliary dilatation diagnosis: a case-control study.

Journal: International journal of surgery (London, England)

Published: December 12, 2023

Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer.

Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer.

Journal: Annals of translational medicine

Published: February 11, 2021

A human-computer collaboration for COVID-19 differentiation: combining a radiomics model with deep learning and human auditing.

A human-computer collaboration for COVID-19 differentiation: combining a radiomics model with deep learning and human auditing.

Journal: Annals of palliative medicine

Published: December 30, 2020

Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.

Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.

Journal: Cancer medicine

Published: August 17, 2020

Showing 1-12 of 16

Last Updated: 09/26/2026