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.

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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.

EVEN MORE SEMINARS

  • Professor Jamshid Dehmeshki: Speaking at the Medical Imaging Convention

    Professor Jamshid Dehmeshki
    Kingston University

    Application of Artificial intelligence and Computer Aided Diagnosis in Medicine

  • Dr Raj Jena: Speaking at the Medical Imaging Convention

    Dr Raj Jena
    Microsoft Research Cambridge & University of Cambridge Department of Oncology

    Building AI workflows for segmentation and analysis of medical imaging

  • Dr Nasir Hameed: Speaking at the Medical Imaging Convention

    Dr Nasir Hameed
    School of Medicine, University of Central Lancashire

    Remote Imaging ‘Pass me my stethoscope – I mean smartphone’

  • Iris Grunwald: Speaking at the Medical Imaging Convention

    Iris Grunwald
    Anglia Ruskin University, Chelmsford, Southend University Hospital

    How To Set Up An Interventional Stroke Service Using AI and High-Fidelity Simulation

  • Syeda Khan: Speaking at the Medical Imaging Convention

    Syeda Khan
    City, Sandwell and Walsall Breast Screening Service

    PROSPECT Trial