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

  • 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’

  • Dr Scott Semple: Speaking at the Medical Imaging Convention

    Dr Scott Semple
    University of Edinburgh

    Magnetic Resonance Imaging of myocardial viability

  • Dr Rajesh Botchu: Speaking at the Medical Imaging Convention

    Dr Rajesh Botchu
    Royal Orthopedic Hospital, Birmingham

    MR imaging of bone tumours

  • Mrs Simerjit Rai: Speaking at the Medical Imaging Convention

    Mrs Simerjit Rai
    Sandwell & West Birmingham NHS Trust

    Patient initiated follow-up and surveillance (story so far)

  • Ernesto A. Cerdena: Speaking at the Medical Imaging Convention

    Ernesto A. Cerdena
    AtlantiCare Regional Medical Center (a member of Geisinger), Atlantic City, New Jersey, USA

    UPDATE on Lessons Learned in Adopting Clinical Decision Support Mechanism In Diagnostic Imaging