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.
EVEN MORE SEMINARS
Dr Nasir Hameed School of Medicine, University of Central Lancashire
Remote Imaging ‘Pass me my stethoscope – I mean smartphone’
Dr Scott Semple University of Edinburgh
Magnetic Resonance Imaging of myocardial viability
Dr Rajesh Botchu Royal Orthopedic Hospital, Birmingham
MR imaging of bone tumours
Mrs Simerjit Rai Sandwell & West Birmingham NHS Trust
Patient initiated follow-up and surveillance (story so far)
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