Yuhong Huang
Guangzhou, 510080, China
Last Updated: 09/26/2026
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Found 17 publications
The role of radiomics in predicting the response to neoadjuvant chemotherapy for breast cancer.
Journal: Cancer biology & medicine
Published: April 13, 2026
Development and validation of a multi-modality system combining radiomics and deep learning for predicting mid-pregnancy complications and enabling timely pregnancy care.
Journal: Frontiers in pediatrics
Published: September 30, 2025
Multiparametric MRI-based longitudinal-radiomics analysis for early prediction of treatment response of breast cancers to neoadjuvant chemotherapy.
Journal: Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Published: August 27, 2025
High prevalence and emerging cephalosporin resistance of penicillinase-producing Neisseria gonorrhoeae in Meizhou, China (2022-2024).
Journal: BMC infectious diseases
Published: July 07, 2025
Brain-Computer Interface Training Enhances Attention Function via Modulating Frontoparietal Connectivity: Evidence From Functional Near-Infrared Spectroscopy.
Journal: Neural plasticity
Published: May 14, 2025
Intratumoral microbiota predicts the response to neoadjuvant chemoimmunotherapy in triple-negative breast cancer.
Journal: Journal for immunotherapy of cancer
Published: April 06, 2025
Self-supervised learning model integrates plain and contrast-enhanced CT for preoperatively identifying gangrenous cholecystitis: a multicenter retrospective cohort study.
Journal: International journal of surgery (London, England)
Published: March 19, 2025
Intratumoral microbiota-aided fusion radiomics model for predicting tumor response to neoadjuvant chemoimmunotherapy in triple-negative breast cancer.
Journal: Journal of translational medicine
Published: December 19, 2024
Effect of Brain Computer Interface Training on Frontoparietal Network Function for Young People: A Functional Near-Infrared Spectroscopy Study.
Journal: CNS neuroscience & therapeutics
Published: October 13, 2024
MRI-based artificial intelligence models for post-neoadjuvant surgery personalization in breast cancer: a narrative review of evidence from Western Pacific.
Journal: The Lancet regional health. Western Pacific
Published: August 11, 2024
18F-FDG PET/CT-based deep learning radiomics predicts 5-years disease-free survival after failure to achieve pathologic complete response to neoadjuvant chemotherapy in breast cancer.
Journal: EJNMMI research
Published: August 02, 2023
Last Updated: 09/26/2026