Summary
Doğa is a postgraduate researcher pursuing a PhD in the AI4Health Centre for Doctoral Training. His studies are focused on Multiple Sclerosis brain lesion segmentation using machine learning. Doğa is affiliated jointly to the Data Science Institute and the Biomedical Image Analysis Group (BioMedIA), and is supervised by Dr Wenjia Bai and Professor Paul M. Matthews.
Doğa obtained his MEng at the University of Oxford in 2019 and his MSc in Biomedical Engineering at Imperial College in 2020.
Publications
Journals
Basaran B, Matthews PM, Bai W, 2022, New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentation, Frontiers in Neuroscience, Vol:16, ISSN:1662-453X
Conference
Zhang W, Basaran B, Meng Q, et al. , 2023, MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI, Pages:121-131, ISSN:0302-9743
Basaran BD, Qiao M, Matthews P, et al. , 2022, Subject-specific lesion generation and pseudo-healthy synthesis for multiple sclerosis brain images, SASHIMI: Simulation and Synthesis in Medical Imaging, Springer, Pages:1-11, ISSN:0302-9743
Qiao M, Basaran BD, Qiu H, et al. , 2022, Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data, 13th International Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM), SPRINGER INTERNATIONAL PUBLISHING AG, Pages:3-12, ISSN:0302-9743