Hongli Ji
Hangzhou, China
Last Updated: 09/26/2026
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Found 9 publications
To Compare the Application Value of Different Deep Learning Models Based on CT in Predicting Visceral Pleural Invasion of Non-small Cell Lung Cancer: A Retrospective, Multicenter Study.
Journal: Academic radiology
Published: May 13, 2025
Predicting Lymphovascular Invasion in Non-small Cell Lung Cancer Using Deep Convolutional Neural Networks on Preoperative Chest CT.
Journal: Academic radiology
Published: March 24, 2024
Evaluation of the invasiveness of pure ground-glass nodules based on dual-head ResNet technique.
Journal: BMC cancer
Published: October 25, 2023
Radiomics analysis of contrast-enhanced computerized tomography for differentiation of gastric schwannomas from gastric gastrointestinal stromal tumors.
Journal: Journal of cancer research and clinical oncology
Published: August 16, 2023
Convolutional neural network applied to preoperative venous-phase CT images predicts risk category in patients with gastric gastrointestinal stromal tumors.
Journal: BMC cancer
Published: March 23, 2023
CT-based radiomic nomogram for predicting the severity of patients with COVID-19.
Journal: European journal of medical research
Published: September 03, 2021
Artificial intelligence X-ray measurement technology of anatomical parameters related to lumbosacral stability.
Journal: European journal of radiology
Published: August 02, 2021
Differentiation of gastric schwannomas from gastrointestinal stromal tumors by CT using machine learning.
Journal: Abdominal radiology (New York)
Published: August 01, 2020
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Last Updated: 09/26/2026