Chengquan Li

Beijing, China

Last Updated: 09/26/2026

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Found 9 publications

A multimodal LLM-agent framework for personalized clinical decision-making in hepatocellular carcinoma.

A multimodal LLM-agent framework for personalized clinical decision-making in hepatocellular carcinoma.

Journal: Patterns (New York, N.Y.)
Published: March 31, 2025

A generative vision-language model for holistic pathological assessment using preoperative imaging in hepatocellular carcinoma.

A generative vision-language model for holistic pathological assessment using preoperative imaging in hepatocellular carcinoma.

Journal: EBioMedicine
Published: February 17, 2025

OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging.

OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging.

Journal: Frontiers in bioengineering and biotechnology
Published: June 03, 2024

AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides.

AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides.

Journal: Frontiers in genetics
Published: May 31, 2023

An Actinic Keratosis Auxiliary Diagnosis Method Based on an Enhanced MobileNet Model.

An Actinic Keratosis Auxiliary Diagnosis Method Based on an Enhanced MobileNet Model.

Journal: Bioengineering (Basel, Switzerland)
Published: May 22, 2023

Improved prognostic prediction model for liver cancer based on biomarker data screened by combined methods.

Improved prognostic prediction model for liver cancer based on biomarker data screened by combined methods.

Journal: Mathematical biosciences and engineering : MBE
Published: March 10, 2023

Data-Driven Assisted Decision Making for Surgical Procedure of Hepatocellular Carcinoma Resection and Prognostic Prediction: Development and Validation of Machine Learning Models.

Data-Driven Assisted Decision Making for Surgical Procedure of Hepatocellular Carcinoma Resection and Prognostic Prediction: Development and Validation of Machine Learning Models.

Journal: Cancers
Published: January 05, 2023

Combining Preoperative and Postoperative Inflammatory Indicators Can Better Predict the Recurrence of Hepatocellular Carcinoma After Partial Hepatectomy.

Combining Preoperative and Postoperative Inflammatory Indicators Can Better Predict the Recurrence of Hepatocellular Carcinoma After Partial Hepatectomy.

Journal: Journal of inflammation research
Published: April 16, 2021

Prognostic value of the postoperative neutrophil-lymphocyte ratio in solid tumors: A meta-analysis.

Prognostic value of the postoperative neutrophil-lymphocyte ratio in solid tumors: A meta-analysis.

Journal: PloS one
Published: December 03, 2020
Showing 1-9 of 9

Last Updated: 09/26/2026