Zonglin Liu
Shanghai, China
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 10 publications
Correction: Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancer.
Journal: Cancer immunology, immunotherapy : CII
Published: March 17, 2026
Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancer.
Journal: Cancer immunology, immunotherapy : CII
Published: September 09, 2025
From Liver to Brain: A 2.5D Deep Learning Model for Predicting Hepatic Encephalopathy Using Opportunistic Non-contrast CT in Hepatitis B Related Acute-on-Chronic Liver Failure Patients.
Journal: Journal of imaging informatics in medicine
Published: August 22, 2025
Predicting Recurrence in Locally Advanced Rectal Cancer Using Multitask Deep Learning and Multimodal MRI.
Journal: Radiology. Imaging cancer
Published: May 30, 2025
Non-invasive diagnosis of liver fibrosis via MRI using targeted gadolinium-based nanoparticles.
Journal: European journal of nuclear medicine and molecular imaging
Published: June 26, 2024
Multi-task reconstruction network for synthetic diffusion kurtosis imaging: Predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.
Journal: European journal of radiology
Published: December 13, 2023
Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis.
Journal: Quantitative imaging in medicine and surgery
Published: May 19, 2023
Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine.
Journal: The EPMA journal
Published: August 31, 2022
Showing 1-10 of 10
Last Updated: 09/26/2026