Shixin Huang

Yubei, China

Last Updated: 09/26/2026

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Found 14 publications

Early mortality risk prediction in critically ill patients with liver cancer using interpretable machine learning: a retrospective cohort study.

Early mortality risk prediction in critically ill patients with liver cancer using interpretable machine learning: a retrospective cohort study.

Journal: Frontiers in cell and developmental biology

Published: May 16, 2026

Comparative prognostic value of nutrition-inflammation indices for 1-year mortality in elderly intensive care unit patients: a retrospective observational study based on MIMIC-IV database.

Comparative prognostic value of nutrition-inflammation indices for 1-year mortality in elderly intensive care unit patients: a retrospective observational study based on MIMIC-IV database.

Journal: BMC geriatrics

Published: October 24, 2025

Using machine learning for early prediction of in-hospital mortality during ICU admission in liver cancer patients.

Using machine learning for early prediction of in-hospital mortality during ICU admission in liver cancer patients.

Journal: Scientific reports

Published: June 03, 2025

Fourier-modulated CLIP for zero-shot vehicle counting.

Fourier-modulated CLIP for zero-shot vehicle counting.

Journal: Scientific reports

Published: December 12, 2024

Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study.

Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study.

Journal: Journal of medical Internet research

Published: November 26, 2024

Comprehensive multi-phase 3D contrast-enhanced CT imaging for primary liver cancer.

Comprehensive multi-phase 3D contrast-enhanced CT imaging for primary liver cancer.

Journal: Scientific data

Published: August 28, 2024

A flexible deep learning framework for liver tumor diagnosis using variable multi-phase contrast-enhanced CT scans.

A flexible deep learning framework for liver tumor diagnosis using variable multi-phase contrast-enhanced CT scans.

Journal: Journal of cancer research and clinical oncology

Published: August 02, 2024

Prediction of Adolescents' Fluid Intelligence Scores based on Deep Learning with Reconstruction Regularization.

Prediction of Adolescents' Fluid Intelligence Scores based on Deep Learning with Reconstruction Regularization.

Journal: Research square

Published: July 01, 2024

EMR-LIP: A lightweight framework for standardizing the preprocessing of longitudinal irregular data in electronic medical records.

EMR-LIP: A lightweight framework for standardizing the preprocessing of longitudinal irregular data in electronic medical records.

Journal: Computer methods and programs in biomedicine

Published: January 17, 2024

Sd-net: a semi-supervised double-cooperative network for liver segmentation from computed tomography (CT) images.

Sd-net: a semi-supervised double-cooperative network for liver segmentation from computed tomography (CT) images.

Journal: Journal of cancer research and clinical oncology

Published: October 18, 2023

Performance fairness of neural network models in early risk assessment of inpatients with varying severity: a retrospective study.

Performance fairness of neural network models in early risk assessment of inpatients with varying severity: a retrospective study.

Journal: BMC medical informatics and decision making

Published: September 09, 2023

A multimodal fusion method for Alzheimer's disease based on DCT convolutional sparse representation.

A multimodal fusion method for Alzheimer's disease based on DCT convolutional sparse representation.

Journal: Frontiers in neuroscience

Published: November 17, 2022

Showing 1-12 of 14

Last Updated: 09/26/2026