Rushuang Mao

State Key Laboratory Of Oncology In South China
Guangzhou, China

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 11 publications

Large Language Models for the Differentiation of Benign and Malignant Liver Nodules based on Multimodal Prompts in Liver US Cases.

Large Language Models for the Differentiation of Benign and Malignant Liver Nodules based on Multimodal Prompts in Liver US Cases.

Journal: Ultrasound in medicine & biology

Published: November 23, 2025

Deep learning model based on ultrasound images predicts BRAF V600E mutation in papillary thyroid carcinoma.

Deep learning model based on ultrasound images predicts BRAF V600E mutation in papillary thyroid carcinoma.

Journal: iScience

Published: July 17, 2024

Radiomics-Based Machine Learning Classification Strategy for Characterization of Hepatocellular Carcinoma on Contrast-Enhanced Ultrasound in High-Risk Patients with LI-RADS Category M Nodules.

Radiomics-Based Machine Learning Classification Strategy for Characterization of Hepatocellular Carcinoma on Contrast-Enhanced Ultrasound in High-Risk Patients with LI-RADS Category M Nodules.

Journal: The Indian journal of radiology & imaging

Published: June 24, 2024

Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images.

Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images.

Journal: Academic radiology

Published: April 15, 2024

Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers.

Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers.

Journal: EBioMedicine

Published: April 06, 2023

Deep Learning of Liver Contrast-Enhanced Ultrasound to Predict Microvascular Invasion and Prognosis in Hepatocellular Carcinoma.

Deep Learning of Liver Contrast-Enhanced Ultrasound to Predict Microvascular Invasion and Prognosis in Hepatocellular Carcinoma.

Journal: Frontiers in oncology

Published: February 23, 2022

Quantitative analysis of shear wave elastic heterogeneity for prediction of lymphovascular invasion in breast cancer.

Quantitative analysis of shear wave elastic heterogeneity for prediction of lymphovascular invasion in breast cancer.

Journal: The British journal of radiology

Published: September 03, 2021

Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Journal: Nature communications

Published: July 13, 2021

Added Value of Different Types of Elastography in Evaluating Ultrasonography Detected Breast Lesions: A Compared Study With Mammography.

Added Value of Different Types of Elastography in Evaluating Ultrasonography Detected Breast Lesions: A Compared Study With Mammography.

Journal: Clinical breast cancer

Published: September 08, 2019

Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Journal: Nature communications

Published: July 22, 2019

Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer.

Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer.

Journal: Korean journal of radiology

Published: June 30, 2019

Showing 1-11 of 11

Last Updated: 09/26/2026