- Email: email@example.com
- Thesis title: Content-aware and quality-aware automatic image analysis methods capable of extracting quantitative imaging biomarkers from large population imaging cohorts.
Abdolrahman Attar Qazaani (known Rahman Attar to friends) was born in Tehran-Iran (1989). He graduated from the University of Guilan with a BEng degree in Computer Eng. in 2012. Then, in 2013, he joined Computational Intelligence Laboratory (CIL) at the University of Lincoln where he received a full scholarship to carry out research on image enhancement and registration for the latest generation of wireless endoscopy systems with multiple image sensors, under supervision of Prof. Shigang Yue. During this period he visited the Institute of Microelectronics at Tsinghua University in Beijing as a senior scholar under the supervision of Professor Zhihua Wang and Prof. Xiang Xie. He was awarded a Marie Curie Fellowship to be involved in the EU FP7- EYE2E/LIVCODE projects during his study. He obtained MPhil degree from School of Computer Science – University of Lincoln. Currently, he is a PhD student in Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB). He has been awarded a Faculty of Engineering Doctoral Academy Scholarship to undertake research in CISTIB under supervision of Prof. Alejandro Frangi. The main aim of his current project is to develop content aware and quality-aware automatic image analysis methods capable of extracting quantitative imaging biomarkers from large population imaging cohorts. This work demonstrates these techniques in the UK Biobank Imaging Study.
CISTIB | Center for Computational Imaging & Simulation Technologies in Biomedicine, School of Computing
LICAMM | Leeds Institute of Cardiac and Metabolic Medicine, School of Medicine
University of Leeds, Leeds, UK
Worsley Building, Rm 8.49, Clarendon Way, Leeds LS2 9LU, United Kingdom
Medical Image Computing | Medical Image Analysis | Biomedical Image Analysis