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Chen Li
Associate professor
Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Name (Pinyin):
Li Chen
E-Mail:
3708b3db39af9d118d8dcaad8ecb086af3658a4ff4a64aa1506d1c0cac78a63e48db129f7fb4465c82f0a0f11800ae7d84d2e539f78a9195619a42096a6678db99acd46db3e499732bf35e326a905d4d87b73c0ee0f0b0f2e69f8df0a3c9d765a91de76ac10e43c362bb41f057a9f8a75dfa6e082c6aa046c7a71f90e622eda6
Education Level:
With Certificate of Graduation for Doctorate Study
Gender:
Male
Degree:
博士
Professional Title:
Associate professor
Status:
Employed
Alma Mater:
德国锡根大学
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Paper Publications
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Paper Publications
2025-FPH-硕士生沈梦媛一作:Visualization Analysis for Emotional Characteristics of Autism Spectrum Disorder from Cinemetrics Perspective (SCI).Frontiers in Public Health
2025-JXST-硕士生孙一豪博士生杜天铭并列一作:COVID-19CT+: A Public Dataset of CT Images for COVID-19 Retrospective Analysis (SCI).Journal of X-Ray Science and Technology
2025-BSPC:硕士生卢国涛一作:DMID-ESD: A Benchmark Dark eld Microscopy Image Dataset for Erythrocytes and Spirochaete Detection and Classi cation Evaluation (SCI).Biomedical Signal Processing and Control
2025-FMed-博士生杜天铭一作:Prediction of TP53 Mutations Across Female Reproductive System Pan-Cancers Using Deep Multimodal PET/CT Radiogenomics (SCI).Frontiers in Medicine
2025-JXST-博士生杜天铭一作:PET/CT Radiomics for Non-Invasive Prediction ofmmunotherapy Efficacy in Cervical Cancer (SCI).Journal of X-Ray Science and Technology
2024-IM-博士生于洋一作:Increasing the Accuracy and Reproducibility of PET Radiomics for Predicting Pelvic Lymph Node Metastasis in Patients with Cervical Cancer Using 3D LBP-based Texture Features (ESCI).Intelligent Medicine
2025-IM-硕士生汪禹舟一作:A Microscopic Image Processing Platform for Multi-class Cell Segmentation Using Deep Learning (ESCI).Intelligent Medicine
2025-ADMA2025-硕士生李睿一作:Natural Language-Bootstrapped Multi-Task Framework for Few-Shot Learning of Histopathological Image Analysis (EI,CCF).The 21st International Conference Advanced Data Mining and Applications 2025
2025-BIBM2025-徐好博士一作:Geometric–Semantic Harmony: A Dual-Student Framework for One-Shot White-Matter Tract Segmentation (EI,CCF).IEEE International Conference on Bioinformatics and Biomedicine 2025
2025-BIBM2025-硕士生孟祥宇一作:Met-FSNet:Few-Shot Multi-Target Segmentation in Metabolic Syndrome CT Scans (EI,CCF).IEEE International Conference on Bioinformatics and Biomedicine 2025
total226 2/23
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