Hongwei Liang
Chongqing, 400016, China
Last Updated: 09/26/2026
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Found 13 publications
A fine-tuned large language model chatbot for multi-scenario radiology cancer care: randomized controlled trial on interaction optimization, emotional support, and provider burnout reduction.
Journal: Journal of translational medicine
Published: November 18, 2025
Extracellular Volume Derived from Equilibrium CT for the Prediction of Survival Outcomes in Patients with Pancreatic Ductal Adenocarcinoma.
Journal: Technology in cancer research & treatment
Published: April 22, 2025
Deep learning-based MVIT-MLKA model for accurate classification of pancreatic lesions: a multicenter retrospective cohort study.
Journal: La Radiologia medica
Published: November 05, 2024
One novel transfer learning-based CLIP model combined with self-attention mechanism for differentiating the tumor-stroma ratio in pancreatic ductal adenocarcinoma.
Journal: La Radiologia medica
Published: July 14, 2024
Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma.
Journal: Insights into imaging
Published: August 23, 2023
Dual-energy CT of the pancreas: comparison between virtual non-contrast images and true non-contrast images in the detection of pancreatic lesion.
Journal: Abdominal radiology (New York)
Published: March 14, 2023
Correlation between Pancreatic Duct Variation and Related Diseases: An Effective Method Observing the Dual-Energy CT with Low-keV Monoenergetic Images.
Journal: Diagnostics (Basel, Switzerland)
Published: December 22, 2022
Prognostic role of pretreatment 18F-FDG PET/CT and hematological parameters in relapsed/refractory Hodgkin lymphoma patients treated with immune checkpoint inhibitors and chemotherapy: a dual-center cohort study.
Journal: BMC medical imaging
Published: October 11, 2022
Comparison of Multiple Radiomics Models for Identifying Histological Grade of Pancreatic Ductal Adenocarcinoma Preoperatively Based on Multiphasic Contrast-Enhanced Computed Tomography: A Two-Center Study in Southwest China.
Journal: Diagnostics (Basel, Switzerland)
Published: July 13, 2022
One 3D VOI-based deep learning radiomics strategy, clinical model and radiologists for predicting lymph node metastases in pancreatic ductal adenocarcinoma based on multiphasic contrast-enhanced computer tomography.
Journal: Frontiers in oncology
Published: July 09, 2022
Dual-energy CT with virtual monoenergetic images and iodine maps improves tumor conspicuity in patients with pancreatic ductal adenocarcinoma.
Journal: Insights into imaging
Published: June 21, 2022
Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review.
Journal: Frontiers in medicine
Published: April 17, 2022
Last Updated: 09/26/2026