People

Amir Alansary is a PhD student in the department of Computing at Imperial College London, UK. His general interests are in Deep Learning, Medical Imaging, and Computer Vision. His primary expertise is in 3D medical image analysis including segmentation, motion compensation, and super-resolution.

PhD student in the CDT for Medical Imaging. Working on the corticalexplorer.com. Further details will come soon.

PhD student — Elisa is working on active learning for machine learning tasks in medical image analysis.

PhD student — Daniel is working on machine learning for diagnostic motion analysis! He is funded by the medical imaging CDT.

PhD student — Biomedical Image Analysis plays a crucial role today in aiding medical practitioners with diagnosing patients. It is a noninvasive method of creating a visual representation of the internal body without surgery. As technology got more and more advanced throughout time, the visual representations are created/rendered with more clarity and detail. Today, there are many different techniques of medical imaging such as Ultrasound, Computer Tomography (CT), Magnetic Resonance Imaging (MRI), X-ray, etc. These different techniques are used to image parts all over the body. My interests, though not limited, are predominantly in medical related engineering topics. I am greatly influenced by using technology to aid and improve quality of life.

I am Lecturer in the Department of Computing at Imperial College London. I am researching translational real-time and high-performance medical data analysis and interactive real-time image processing techniques as member of the Biomedical Image Analysis, BioMedIA Group in the section of Visual Information Processing.

Bishesh is Post-Doctoral Researcher funded by the iFind project. Bishesh works on machine learning for canonical real-time coordinate transformations for ultrasound and MRI in-utero data acquisition.

Alumni —

Steven McDonagh is a Research Associate in the Biomedical Image Analysis (BiomedIA) group at Imperial College London, working with Bernhard Kainz. His research focuses on image understanding using machine learning techniques and hardware accelerated medical image processing methods towards motion compensation and volume reconstruction in neonatal and fetal brain MRI. Previously, he was a postdoctoral researcher with Disney Research working on real-time computer vision and machine learning problems, multi-view image registration and 3D surface reconstruction. He completed his PhD as a member of the Institute of Perception, Action and Behaviour in the School of Informatics, University of Edinburgh.

PhD student — funded by a highly prestigious CSC scholarship (Thank you China and Doc!). Working on style transfer and superresolution for ultrasound data.

PhD student —  Jeremy is working on self-organising deep learning for medical image analysis. He is funded by the most prestigious scholarship Imperial has to offer: Imperial’s President scholarship