😊 About me

Yutong Xie is an Assistant Professor of the Computer Vision Department at MBZUAI. Before joining MBZUAI, she was a Research Fellow at the University of Adelaide (UoA) and a member of the Australian Institute for Machine Learning (AIML).

My research primarily focuses on computer vision and machine learning for healthcare sector, aiming to develop intelligent solutions to assist healthcare professionals in anatomical structure segmentation, disease diagnosis, prognosis, and therapy, particularly in the context of medical data analysis with limited annotations. I have published more than 60 peer-reviewed publications, most in flagship journals/conference proceedings including IEEE-TPAMI/TMI/TIP, IJCV, Medical Image Analysis, MICCAI, CVPR, ICCV, ECCV, NeurIPS, ACL, EMNLP.

Research Topics:

• Cutting-edge Technologies:
  • Annotation-efficient deep learning & Self-/Semi-/Weak-supervised learning
  • Multi-modal learning (2D/3D images/text/gene data) & Foundation model
  • Large Language Model (LLM) & Agents
  • Artificial Intelligence Generated Content (AIGC)
• Medical Image Segmentation & Computer-Aided Diagnosis/Prognosis:
  • Chest/Abdomen/Brain/Skin/Gland/Eye/Oral regions
  • X-ray/CT/MRI/Dermoscopy/Pathology/Fundus/Report/Clinical/Gene data

[Note]: I am actively seeking highly motivated PhD students, Master’s students, and interns/visiting students to join my group. If you are interested in working with me on the topics mentioned above, please feel free to contact me via email and refer to this link for further information.