Amir Alansary

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.

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Elisa Chotzoglou

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

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Benjamin Hou

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.

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Dr Bishesh Khanal

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.

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Dr Steven McDonagh

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.

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Qingjie Meng

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

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