Yubao Liu

Shenzhen, China

Last Updated: 09/26/2026

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Found 25 publications

Multiscale Multiparametric MRI Deep Learning for Short-Term Survival Assessment in Glioblastoma.

Multiscale Multiparametric MRI Deep Learning for Short-Term Survival Assessment in Glioblastoma.

Journal: Journal of magnetic resonance imaging : JMRI

Published: June 02, 2026

Development and validation of a machine learning-based radiomics model using 45-keV virtual monoenergetic images for differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma.

Development and validation of a machine learning-based radiomics model using 45-keV virtual monoenergetic images for differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma.

Journal: Translational andrology and urology

Published: January 08, 2026

Habitat-informed MRI Radiomics and Deep Learning Fusion for Short-Term Survival Prediction in Patients with Glioblastoma: Exploratory Radiogenomic and Immune Correlates.

Habitat-informed MRI Radiomics and Deep Learning Fusion for Short-Term Survival Prediction in Patients with Glioblastoma: Exploratory Radiogenomic and Immune Correlates.

Journal: Academic radiology

Published: January 02, 2026

Multimodal deep learning model for predicting microsatellite instability in colorectal cancer by contrast-enhanced computed tomography and histopathology.

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

The association between individualized functional connectivity disruption and metabolic abnormality in alzheimer's disease and mild cognitive impairment: insights from multimodal neuroimaging.

The association between individualized functional connectivity disruption and metabolic abnormality in alzheimer's disease and mild cognitive impairment: insights from multimodal neuroimaging.

Journal: Neuroradiology

Published: June 03, 2025

Acquisition of Ktrans perfusion parameter maps from DCE-MRI in breast cancer using a deep learning approach.

Acquisition of Ktrans perfusion parameter maps from DCE-MRI in breast cancer using a deep learning approach.

Journal: Quantitative imaging in medicine and surgery

Published: April 19, 2025

Comparative analysis of traditional and integrated approaches to radiology training for residents.

Comparative analysis of traditional and integrated approaches to radiology training for residents.

Journal: BMC medical education

Published: November 11, 2024

The role of multiparametric MRI in predicting lymphovascular invasion in breast cancer patients.

The role of multiparametric MRI in predicting lymphovascular invasion in breast cancer patients.

Journal: Future oncology (London, England)

Published: September 13, 2024

Application of machine learning in the analysis of multiparametric MRI data for the differentiation of treatment responses in breast cancer: retrospective study.

Application of machine learning in the analysis of multiparametric MRI data for the differentiation of treatment responses in breast cancer: retrospective study.

Journal: European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)

Published: May 14, 2024

A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study.

A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study.

Journal: The Lancet. Digital health

Published: February 07, 2023

Differentiation of Small Gastrointestinal Stromal Tumor and Gastric Leiomyoma with Contrast-Enhanced CT.

Differentiation of Small Gastrointestinal Stromal Tumor and Gastric Leiomyoma with Contrast-Enhanced CT.

Journal: Journal of healthcare engineering

Published: May 31, 2022

Evaluation of a continuous-time random-walk diffusion model for the differentiation of malignant and benign breast lesions and its association with Ki-67 expression.

Evaluation of a continuous-time random-walk diffusion model for the differentiation of malignant and benign breast lesions and its association with Ki-67 expression.

Journal: NMR in biomedicine

Published: May 10, 2022

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Last Updated: 09/26/2026