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Deep Learning in Medical Imaging

Brought to you by The Healthcare Group

At this event you will learn whether recent advances in deep learning, through which computers are now able to extract information from images reliably and accurately, can be applied to the field of diagnostic imaging.

Registration for this event is now closed.

About the event

Imaging for clinical interpretation or intervention is a key element of medicine, and there is currently a rapid growth in the number of medical imaging studies.  The main challenge for clinicians is to interpret the complexity and dynamic changes of these images.  Currently most such interpretations are performed by human experts, but this can be time-consuming, expensive, and error prone due to visual fatigue. Medical image computing has emerged as an interdisciplinary field to develop robust and accurate computational methods to extract clinically relevant information.

Recent advances in deep learning show that computers can extract more information from images, with an increase in reliability and accuracy. Moreover, deep learning can be used to identify and extract novel features that would otherwise not be easily accessible to human viewers. 

The major challenge is now to develop and adapt these techniques to enhance:

  • Computer-aided detection and diagnosis
  • Image analysis with deep learning to enhance interventions
  • Integration of imaging and clinical data
  • End-to-end learning for prognosis and treatment selection

We are looking into running an afternoon demo session so timings may vary in the afternoon.

As with all CW events, academic institutions, students, not for profits and professionals working in the sector but unable to afford the ticket price can apply for free tickets. Please contact to explore this opportunity.

You can follow @CambWireless on Twitter and tweet about this event using #CWHealthcare.


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The information supplied below may be subject to change before the event.


Registration and networking with refreshments


Introduction to Healthcare SIG

Nigel Whittle, Head, Medical & Healthcare, Plextek


Welcome from event supporter, Microsoft


Funding opportunities & AI for health applications

Dr. Gabriela Juárez Martínez, Knowledge Transfer Manager - Health and Medtech, Knowledge Transfer Network (KTN)

This talk will explain KTN's support for business innovation, the current activities related to artificial intelligence for health and highlight relevant funding opportunities.


Developing ML models for medical image segmentation in radiation oncology and beyond

Rajesh Jena, Radiation Oncology Consultant, University of Cambridge

Project Innereye at Microsoft Research is developing machine learning models for segmentation of volumetric medical image data. We present our progress with integrating cloud-based segmentation models into clinical workflows for radiation oncology, including a novel study of predictive radiomics in image guided radiotherapy.




AI in breast imaging –what does the future hold?

Prof Fiona Gilbert, Professor of Radiology, University of Cambridge
With over 32 million mammograms in the USA and over 1.3 million in the UK needing to be read each year the opportunity for AI tools to replace or aid radiologists are enormous. The DREAM challenge stimulated huge interest from the computer science community and there have been a number of spin out companies with potentially useful algorithms. There is a need for AI tools for ultrasound and MRI and algorithms are being tested in these modalities. Perhaps a bigger challenge is the integration of multimodal data to better understand mechanisms of disease. The ability to take information from different sources without perturbing the tumour is one in which imaging is suited. The computational challenge is significant and requires AI to integrate and make sense of the data.




Refreshments and networking


Perspectives on the challenges in developing deep learning algorithms for breast screening

Dr Hugh Harvey, Clinical Director, Kheiron Medical Technologies

An overview of the challenges in developing and deploying deep learning algorithms within the NHS, including data access, data readiness, regulations, clinical studies and partnerships.




Putting AI into production for medical diagnostics

Dr Antony Rix, Co-founder and CEO, Granta Innovation

AI techniques have the potential to greatly improve the accuracy and productivity of medical diagnosis. How can we build on early research indicating promising results? Are these new methods really fit for purpose? What is required to gain regulatory approval and meaningful clinical adoption?




Panel session with all speakers


Event wrap up


Event Close


Fiona Gilbert - Head of Department of Radiology , University of Cambridge

Professor Gilbert is Head of Department of Radiology at the University of Cambridge.  Her role is to provide leadership to the diverse imaging community at the university and she is responsible for imaging research and radiological undergraduate teaching.  Professor Gilbert’s clinical work and research is focused on all imaging techniques relating to breast cancer and oncology.  She is interested in multimodal functional imaging with MRI and PET of the tumour environment using breast cancer as a model and correlating this with the tumour genetic profile.  She undertakes research in stratified breast screening using Tomosynthesis, Whole Breast Ultrasound and contrast enhanced mammography. She maintains a strong interest in musculo-skeletal imaging.  

Since 2012 Professor Gilbert has been awarded fifteen competitive grants worth over £20M. She is a member of the NIHR EME Board and is on a number of advisory panels.

Professor Gilbert has 197 peer reviewed publications, 5 book chapters and numerous conference abstracts.   She is a regular speaker at international Radiology conferences in Chicago and Vienna as well as the European Society of Breast Imaging.

Hugh Harvey - Clinical Director, Kheiron Medical Technologies

Dr Harvey is a board certified radiologist and clinical academic, trained in the NHS and Europe’s leading cancer research institute, the ICR, where he was twice awarded Science Writer of the Year. He has worked at Babylon Health, heading up the regulatory affairs team, gaining world-first CE marking for an AI-supported triage service, and is now a consultant radiologist, Royal College of Radiologists informatics committee member, Clinical Director at Kheiron Medical Technologies.

Raj Jena - Academic Radiation Oncologist , University of Cambridge

Dr Raj Jena is an academic radiation oncologist working at the University of Cambridge and Addenbrooke’s Hospital. His clinical interests are in the treatment of primary and secondary tumours of the brain and spine. His research interests span areas of imaging, radiomics, machine learning and advanced radiation therapy treatment.

Dr Jena is chief investigator of the CRUK VoxTox computational radiotherapy programme, a Clinical Consultant member of the Innereye team at Microsoft Research, an Investigator at the EPSRC Centre for Mathematical Imaging in Healthcare, and a founding member of the European Network for Light Ion Therapy based at CERN.

Antony Rix - CEO & Founder, Granta Innovation

Antony Rix gained his PhD developing PESQ, a patented AI model of the human auditory system applied to predict the quality of phone calls. This formed the basis of his first startup, Psytechnics, which was acquired by Netscout in 2011. He spent 12 years working at TTP on innovative connected digital systems, software and medical devices, before founding industrial IoT startup 8power in 2016. Antony is a member of the IET and American Telemedicine Association. Antony set up Granta Innovation in early 2018 and focuses on developing and gaining clinical acceptance of tools to transform the diagnosis of cancer using AI and magnetic resonance imaging.

SIG Champions

Peter Ferguson - Director for Healthcare Technologies, Arm

Peter is director for healthcare technologies at Arm and has been actively involved in the delivery of mobile and healthcare solutions since starting his Medical Electronics PhD in 1994. Based in Cambridge, UK, Peter is responsible for driving Arm's health strategies in Medical Sensors and Genomics. His remit is helping the healthcare industry to utilize Arm's high efficiency technology in developing new products and services. Peter has more than 20 years' experience working in the healthcare, mobile tech and pharmaceutical technology market and has been instrumental in delivering innovative mobile health solutions including wearable ECG, Mobile Devices, Adverse Event Systems and Portal Hospital solutions in the UK and China.

Siddhi Trivedi - Founder, Beyond Identity

Siddhi’s ambition is to build an inclusive community with a focus on social innovation through the intersection between emerging technologies and creative minds.

Siddhi specialises in strategic, operational and technology-enabled business transformation. She founded Beyond Identity, to implement digital tools through the application of IOT, AI and blockchain enabled solutions. She has deep insight into developing apps and platforms, and regularly speaks about innovations within the healthcare sector at international conferences. Since the advent of COVID-19, she has been working with medical clinicians within Oxfordshire to develop an app to empower patients to manage their health.

She is a healthcare SIG champion for Cambridge Wireless and a lead organiser for Tech London Advocates Blockchain Group a think tank and repository for knowledge sharing and to position London as a global leader in blockchain advocacy.

As a champion for women and girls in tech, Siddhi founded project BIBA, a platform designed to connect girls and women with live projects with tech companies who are keen to bridge the gender gap in their organisations. This project has been supported and born out London Tech week in September 2020 and will officially launch at London Tech Week in September 2021.

Nigel Whittle - Vice President, Plextek

Nigel is Head of Medical & Healthcare at Plextek, spearheading engagement with a range of clients in the medical device sector, helping them develop innovative technology around sensors, data collection, communications and related areas. Nigel has over 25 years’ experience in the global life science industry, in a wide range of senior scientific, commercial and managerial roles. He conducted research work at Genentech and Celltech, then at Cantab Pharmaceuticals he was responsible for all company product development, taking proprietary products into late-stage Clinical Trials. With the IP Group he established a programme of technology commercialisation from Kings College London, including start up and flotation of companies. Later, working for UK Trade & Investment, Nigel worked with a portfolio of overseas pharmaceutical companies to secure high-level investment into the UK’s R&D capabilities. More recently he has worked as a business consultant both as an independent and at Sagentia. His current interests include the development of wearable technology to support clinical studies, and the use of monitoring systems for assisted living.

Paul Winter - Senior RF Consultant, TTP plc

Paul Winter is a programme manager and RF engineer in the Communications and Wireless group at TTP. He has led numerous projects in commercial, industrial and healthcare sectors developing connected devices and precision instrumentation. Paul has a heritage in developing products integrating multiple wireless standards including GPS, GPRS, Wi-Fi, Bluetooth and proprietary ISM band radios, deployed within multi-sensor systems for in-home and on-body applications, often coupled to 'Cloud' based analysis and visualisation services. In healthcare Paul has applied aspects of wireless, antennas and electronics to a number of medical devices including inhalers, glucose testing and point of care diagnostic instruments. Paul has also led several incubation projects for TTP's Carbon Trust Incubator, covering a wide range of cutting edge technologies. Paul joined TTP in 2006; prior to this he worked as a radio engineer for Global Communications developing high volume consumer in-home satellite and digital TV distribution equipment, as well as portable equipment for the 'on-location' broadcasting industry. Paul has a Masters degree in Electrical & Electronic Engineering from the University of Wales, Cardiff. He is a member of the Institute of Engineering and Technology, the Royal Academy of Engineering and is a Charted Engineer.

Event Location

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Location info

Microsoft Research, 21 Station Road Cambridge CB1 2FB

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