QJQ-Medical Image and Health Informatics Lab

Ph.D. Student

Jiaqi Qu

2019-2024

Medical image-based automated diagnosis and intelligent assessment
Model generalization

School of Biomedical Engineering
Shanghai Jiao Tong University
Room 419, Med-X Research Institute
1954 Hua Shan Road, Shanghai, China

Research Interests

My primary focus is on developing a generalized pancreatic cancer imaging intelligent diagnosis and assessment algorithm. The main challenges lie in the generalization performance of model in multicenter, recognition of small tumor, and fine-grained classification.

Brief Biography

Ph.D. student, 2019-Present, School of Biomedical Engineering, Shanghai Jiao Tong University, China.

B.S., 2015-2019, College of Medicine and Biological Information Engineering, Northeastern University, China.

Current Research Topics

1) Automated pancreatic cancer diagnosis
The automated diagnosis methods for early pancreatic cancer have a high clinical value in improving the patient survival rate. My research focuses on developing automated diagnosis algorithms for pancreatic cancer and spans efforts to enhance the model's generalization performance when applied to multi-center hospital data. Currently, I have achieved model construction from morphological (MedIA 2023) and causal intervention (MedIA 2024) perspectives.

2) Intelligent assessment of pancreatic cancer based on tumor imaging
Conducting non-invasive intelligent assessment of pancreatic cancer patients before surgery aids in personalized treatment and enhancing patient prognostic outcomes. My research focuses on developing preoperative lymph node metastasis prediction models and survival prediction models for pancreatic cancer patients based on tumor imaging.