Shaheer Saeed

Dr Shaheer U. Saeed is a Lecturer in Computational Biomedical Engineering at Queen Mary University of London and University College London. His research focuses on developing data-efficient and clinically applicable artificial intelligence methods for healthcare, with particular interests in cancer diagnosis, medical imaging, and image-guided interventions. A central theme of his work is understanding how AI systems can learn effectively from limited and imperfect clinical data, while remaining reliable across patient populations and healthcare environments. He has contributed to advances in medical image segmentation, quality assessment, adaptive learning, and clinical decision support, with applications in prostate, liver, pancreatic, and gynaecological diseases. His research also investigates the quality and consistency of clinical annotations, and how algorithm evaluation strategies can be designed to better capture clinically meaningful performance. More broadly, he is interested