Jing Zhang

I am currently a postdoctoral researcher at LaTIM, University of Western Brittany (UBO), specializing in medical image analysis with deep learning. My research focuses on developing advanced AI-driven methodologies for medical imaging, particularly in radiotherapy and nuclear medicine.

I obtained my Ph.D. in 2022 from the LITIS lab at INSA Rouen, France, under the supervision of Prof. Caroline Petitjean and Prof. Samia Ainouz. My doctoral research, supported by the China Scholarship Council (CSC), was dedicated to deep learning-based medical image analysis, addressing challenges related to data heterogeneity and domain adaptation.

Prior to my doctoral studies, I earned my Master’s degree in Computer Science (2018) from Northwest A&F University (NWAFU), where I conducted research in computer graphics under the guidance of Prof. Nan Geng. I also hold a Bachelor’s degree in Information Management & Information Systems (2015) from NWAFU.

My research interests include:
🔹 Deep learning for medical imaging (CT, PET, multimodal fusion)
🔹 Radiotherapy dose prediction & simulation
🔹 Incremental learning & domain adaptation in healthcare AI
🔹 Physiologically-based pharmacokinetic (PBPK) modeling for patient-specific analysis

I am passionate about leveraging AI to enhance medical imaging analysis, improve clinical decision-making, and develop generalizable models that adapt across different datasets and medical centers. I am always open to collaborations and discussions in the field of AI-driven healthcare solutions.