Chen Ling-智慧医疗超声实验室

Tutor

Current Location: Home - Tutor - IMU·Visiting Scholar - Content

Chen Ling
Field: 
Unstructured data processing
Office: 
No. 2 Interdisciplinary Building B5010
Email: 
lingc@sumhs.edu.cn

Education Background

- Ph.D. in Management Science and Engineering, Shanghai University of Finance and Economics, 2014–2020

- M.S. in Educational Information Technology, East China Normal University, 2005–2008

- B.S. in Educational Technology, Shaanxi Normal University, 1999–2003

Research Interests

Unstructured data processing, Causal inference and machine learning, Intelligent management decision-support systems

Publications

[1] Fusing Diverse Decision Bules in 30-admics for differentiation of invasive from mor-invasive pulmonary adenocarcinoma on Chest CT, Journal of Digital Imaging, 2024

[2] A Bi-LSTM and multi-head attention-based model incorporating radiomics signatures and radiological features for differentiating the main subtypes of lung adenocarcinoma, Quantitative Imaging in Medicine and Surgery, 2023

[3] Development of a novel nomogram-based model incorporating 3D radiomic signatures and lung CT radiological features for differentiating invasive adenocarcinoma from adenocarcinoma in situ and minimally invasive adenocarcinoma, Quantitative Imaging in Medicine and Surgery, 2022

[4] Nonblind Image Deblurring Based on Bi-Composition Decomposition by Local Smoothness and Nonlocal Self-Similarity Priors, IEEE Access,2019

[5] Discriminative-Enhanced Fine-Tuning of Large Language Models for Medical Imaging Report Generation. *Computer Applications Research*, 2025

[6] Two-Stage Professional Fine-Tuning of Large Language Models Based on Medical Clinical Data. *Computer Applications Research*, 2024

[7] Integrating Clinical Prior Knowledge for Early Sepsis Warning in the ICU. *Chinese Journal of Critical Care Medicine*, 2023

[8] An Improved Double U-Net for Colon Polyp Segmentation. *Acta Optica Sinica*, 2021

Courses Taught (Undergraduate Level)

**Courses Led**

- Neural Networks and Deep Learning

- Medical Big Data Statistics

- Artificial Intelligence Applications in Medicine

**Courses Participated In**

- Machine Learning and Clinical Decision-Making

- Health Data Mining

- Natural Language Processing

**Textbook Publications**

Associate Editor, *Clinical Big Data Analysis and Mining* (Undergraduate Professional Textbook). Electronics Industry Publishing House, 2020.