Dr Raj Jena
Microsoft Research Cambridge & University of Cambridge Department of Oncology
Dr Jena is an academic radiation oncologist at Addenbrooke’s Hospital Cambridge. He leads the computational radiotherapy group at the University of Cambridge Department of Oncology and also acts as a clinical consultant to the InnerEye team at Microsoft Research Cambridge. His research interests span multiple areas of imaging and radiation therapy, from machine learning to image-based radiobiological modelling and predictive radiomics.
Building AI workflows for segmentation and analysis of medical imaging
Project InnerEye focuses on the use of machine learning models for automatic segmentation of medical images. Segmentation can form the basis of treatment planning in radiotherapy and surgery, or a tool that enables quantification of longitudinal images and radiomics workflows. I present examples of research algorithms and tools designed to accelerate these clinical workflows.
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Dr Katy Szczepura University of Salford
Conspicuity Index – a novel method for assessing lesion visibility in DICOM images
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Imaging biomarkers to investigate neuropathology
Dr Claudia Lindner The University of Manchester
BoneFinder®: a software tool to enable automated bone shape analyses
Matthew Clemence, PhD Philips Healthcare
Introduction to machine learning and AI in the Healthcare and Imaging environment