EPSRC-NIHR HTC Partnership Award 'Plus': Medical Image Analysis Network (MedIAN)

Lead Research Organisation: University of Oxford
Department Name: Engineering Science

Abstract

The EPSRC-NIHR Healthcare Technology Co-operatives Partnership Network in Medical Image Analysis seeks to bring leading UK researchers in medical image analysis together to identify new opportunities for medical image analysis methodology research within the clinical areas of high morbidity/unmet need of the NIHR Cardiovascular HTC and HTC in Colorectal Therapies.

The HTCs are working with patient groups and clinicians on identifying unmet clinical needs in these areas. An aim of the Medical Image Analysis Network (MedIAN) is to bring together imaging scientists with different skills sets and experiences to consider how technological advances in how images are acquired and images (and associated information) are analysed can be applied to solve some of these problems.

The primary purpose of the Network is to encourage new collaborations to be set up between academic healthcare technologists, clinicians and industry partners to develop and evaluate new solutions. Network members are jointly tasked to work on some of the hardest medical image analysis problems there are today. The hope is that the resulting research will lead to new image-based biomarkers and quantification methods which will allow earlier detection of disease, and better stratification of disease so that the most appropriate therapy can be selected for a patient, and new image-based quantitative tools will lead to increases success of interventions and therapies and improve the
overall well-being of patients with these conditions.

How is MedIAN aiming achieve this goal? MedIAN is encouraging the development of new collaborations through scientific meetings with other networks/organisations, Clinical Readiness events which allow clinicians to evaluate current methods, and Challenge competitions which allow the international medical image analysis community to benchmark method on given clinical problems.

This new award will augment the existing one by enabling a number of new activities to be run: People and Knowledge Exchanges between UK research groups for early career researchers, Medical Image Analysis hackathons, Scoping Workshops to help work-up grant proposals and the facilitation of two national meetings for early career researchers (ECRs) working in medical image analysis which will be run by ECRs for ECRs. The new award will also enable a new internet resource to be set up which aims to be a focal information portal for UK medical image analysis researchers and those who wish to work with them.

Planned Impact

The main non-academic beneficiaries of MedIAN activities are patients, clinicians, establishments where treatment happens, and companies that make healthcare products.

Clinical Impact:
The HTC partners will take the lead on this. The HTCs will use their knowledge gleaned from interactions with NHS Patient & Public Involvement groups, and clinicians linked to their HTC to pose new challenges to MedIAN members that may lead to technical solutions to some of the most challenging problems in diagnosis and treatment of patients with high morbidity conditions. Clinical impact at network award end will be measured in terms of the degree of active engagement of clinicians in the network and as partners on feasibility studies and grant submissions.

Commercial Impact:
The technology area of interest of this Network is likely to be of great interest to industry (imaging companies, medtech companies who use imaging for guidance, and medical diagnostic companies). The timeline from concept to product is typically of the order of 5-7 years in this area, so it unlikely that there will commercial success stories to report by award end. Commercial impact at network award end may be measured in terms of the degree of active engagement and support of industry in the network and as partners on
grant submissions. Intellectual Property may also be generated in feasibility projects and protection will be managed following the standard practices of the institutions involved.

Societal Impact:
The Network aims to make its own unique contribution to improving healthcare products and services, and through this, improve the quality of life of patients with high morbidity conditions. Direct benefits of network outputs are likely to be realised in the medium term. However, the network aims to contribute to societal needs for better solutions for rapid and early detection of conditions, and personalised surgery to improve patient outcome, as well as to reduce the cost of healthcare by developing healthcare technology solutions that will encourage clinical adoption of lower-cost imaging technology.

Publications

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Kannan P (2018) Functional Parameters Derived from Magnetic Resonance Imaging Reflect Vascular Morphology in Preclinical Tumors and in Human Liver Metastases. in Clinical cancer research : an official journal of the American Association for Cancer Research

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Roque T (2018) A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth. in IEEE transactions on medical imaging

 
Description The network is progressing its objectives of promoting greater national engagement of researchers working in this inter-disciplinary field by:
- Running or co-organising one-day scientific events
- Supporting ECRs by providing funds associated with organising international workshops
- Organising an annual 2-day sand pit dedicated event for ECRs.
- Running a website/digital resource for researchers working in the field.
- Funding an ECR Knowledge Exchange Programme enabling ECRs to spend a period of time in another institution.
- In 2018 we sponsored attendance of UK ECRs at an international conference and we have annually sponsored the national meeting in our field (MIUA).
Exploitation Route The award is still active and follow-on will be discussed at a workshop organised in May 2019.
Sectors Healthcare

 
Description EPSRC Healthcare Impact Partnerships
Amount £950,000 (GBP)
Funding ID EP/P023509/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Academic/University
Country United Kingdom
Start 10/2017 
End 09/2020
 
Description EPSRC Research Grant
Amount £707,983 (GBP)
Funding ID EP/R005982/1, EP/R005516/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Academic/University
Country United Kingdom
Start 02/2018 
End 01/2021
 
Description ERC Starting Grant
Amount € 1,500,000 (EUR)
Organisation European Commission H2020 
Sector Public
Country Belgium
Start 02/2018 
End 01/2023
 
Description Healthcare Impact Partnership
Amount £932,050 (GBP)
Funding ID EP/P023509/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Academic/University
Country United Kingdom
Start 10/2017 
End 09/2020
 
Description Clinical collaboration 
Organisation Addenbrooke's Hospital
Department Kidney Transplant Team
Country United Kingdom 
Sector Hospitals 
PI Contribution We have been developing software for brain lesion quantification used in clinical research by our collaborator.
Collaborator Contribution Our collaborator has provided research and clinical data for method development and evalaution.
Impact See publication output.
Start Year 2016
 
Description EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging 
Organisation Engineering and Physical Sciences Research Council (EPSRC)
Department Centre For Mathematical And Statistical Analysis Of Multimodal Clinical Imaging
Country United Kingdom 
Sector Academic/University 
PI Contribution Attend and participate in the EPSRC Centre's annual meeting.
Collaborator Contribution Sharing of knowledge between networks.
Impact Sharing of knowledge between network members.
Start Year 2017
 
Description Intelligent Ultrasound Ltd 
Organisation Intelligent Ultrasound Ltd
PI Contribution Partner on EPSRC/Innovate UK SMI Project.
Collaborator Contribution Licence agreement to use IDF software for research purposes. Licence to use AQABUS software for research purposes. IU is an medical image analysis SME and is also part of the MedIAN Network.
Impact See separate entry
Start Year 2013
 
Description NIHR Cardiovascular HTC 
Organisation National Institute for Health Research
Country United Kingdom 
Sector Public 
PI Contribution The NIHR Cardiovascular HTC was a collaborator on the original MedIAN bid. We share information on events between our networks and have run an event together.
Collaborator Contribution We share information on events between our networks and have run an event together.
Impact A joint event was held with follow-up including connecting with the UK Biobank.
Start Year 2014
 
Description NIHR Cardiovascular MIC 
Organisation National Institute for Health Research
Country United Kingdom 
Sector Public 
PI Contribution The NIHR Cardiovascular MIC replaced the HTC of the same name in January 2018 and we continue to work with them on sharing information and will run a joint meeting in 2018.
Collaborator Contribution See above.
Impact Sharing information and running joint events.
Start Year 2018
 
Description NIHR Colorectal HTC 
Organisation National Institute for Health Research
Country United Kingdom 
Sector Public 
PI Contribution The NIHR Colorectal Therapies HTC was one of the two HTCs we partnered with initially. Their strength is in identifying new important unmet clinical needs. Leeds based, they also offered us a way to reach out to researchers in this part of the country.
Collaborator Contribution The HTC has advised on activities and suggested members of their network who might be interested in MedIAN. Their HTC was set up before our network and they could offer experience/advice on how to design effective workshops. The HTC ended in 2017 and was superseded by a MIC from January 2018 (see separate entry).
Impact Joint multi-disciplnary collaborations (industry, clinical, academic) in medicine/engineering/physical sciences.
Start Year 2014
 
Description NIHR Surgical MedTech Co-operative 
Organisation National Institute for Health Research
Department NIHR Surgical MedTech Co-operative
PI Contribution The NIHR Colorectal Therapies HTC became the NIHR Surgical MedTech Co-operative in January 2018. We continue to have periodic discussions, plan to hold a joint event in 2018, and share information between our complementary networks.
Collaborator Contribution See above.
Impact Joint events; sharing information between our respective networks.
Start Year 2018
 
Description Oxford AHSN 
Organisation Oxford Academic Health Science Network
Country United Kingdom 
Sector Public 
PI Contribution Sharing of information between complementary networks.
Collaborator Contribution Sharing of information between complementary networks.
Impact Sharing of information about events, funding opportunities etc.
Start Year 2015
 
Description SINAPSE 
Organisation Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE)
Country United Kingdom 
Sector Public 
PI Contribution SINAPSE and MedIAN via the MIUA conference which was held in Edinburgh in 2017.
Collaborator Contribution We are considering running a joint event and SINAPSE will also contribute to a BigData workshop to be held in Oxford in 2018.
Impact Agreement to work together on events of mutual interest and share information between our two networks.
Start Year 2017
 
Description UK Biobank 
Organisation UK Biobank
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution The UK Biobank Imaging consortium is gathering a large amount of image data on study subjects. MedIAN participants have discussed with UK Biobank consortium partners challenges in automated image analysis of the cardiac image data.
Collaborator Contribution Knowledge exchange. Some partners have followed up with UK Biobank to consider how they can support analysis. One example is the SmartHeart Programme Grant.
Impact Individuals followed up from the workshop to consider how they might support the UK Biobank.
Start Year 2016
 
Description British Institute of Radiology Annual Conference - Machine learning for automated reporting using big data, Dr Ali Gooya 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Ali Gooya from the University of Sheffield gave a plenary talk at BIR AC 2016 entitled Machine learning for automated reporting using big data. The main goal was to increase awareness on the role of Machine Learning and Deep Learning in automated medical image analysis and reporting. The audience was very interested in this domain and a number of follow up activities in the network in this space have followed.
Year(s) Of Engagement Activity 2006
URL https://www.bir.org.uk/education-and-events/annual-congress-2016/
 
Description CMIH (Cambridge Centre for Mathematical Imaging Clinic) 1-day Medical Imaging Conference 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact This one day conference brought together those academics working on advances in imaging technology with researchers who investigate new image analysis methods, to help address current challenges. New imaging technology goes side by side with the need for mathematical models to maximise the information gain from these novel imaging techniques.

This event presented the opportunity to hear in detail about some of the current project collaborations, and focused on the academic interactions taking place in the field of medical imaging and especially across the EPSRC Centres for Mathematical Sciences in Healthcare.

The Programme featured talks that highlighted the role that deep learning can play alongside fundamental mathematical and statistical techniques used in medical imaging, including image analysis and modelling. There was a session for short "elevator pitches" where researchers presented snapshots of their work, which were further explored during a poster exhibition which ran during the lunch and the drinks/networking session.

The event was of interest to participants from the biomedical imaging, mathematics, engineering, computer science and physics, as well as biology and medicine.

A key aim of the partnerships is the delivery of high quality, multidisciplinary research that will help overcome some of the big challenges facing the NHS. Their remit is to explore how mathematics and statistics can help clinicians to tackle serious health challenges such as cancer, heart disease and antibiotic resistant bacteria. Specifically, researchers will develop new tools from predictive mathematical models to enable earlier diagnosis of chronic diseases such as epilepsy, and new systems to make clinical imaging more accurate and efficient.
Year(s) Of Engagement Activity 2018
URL https://gateway.newton.ac.uk/event/tgmw58
 
Description CMIH (Cambridge Centre for Mathematical Imaging Clinic) User Engagement Day 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact MedIAN was able to showcase its aims and form project groups as a result
Year(s) Of Engagement Activity 2017
URL https://www.cmih.maths.cam.ac.uk/first-industryuser-engagement-day/
 
Description CRUK/EPSRC Early Detection Sandpit - 7 January 2019, Oxford 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Invited panel talk & discussion on "AI for Early Detection" - Prof Julia Schnabel
Year(s) Of Engagement Activity 2019
 
Description Clinicians & Academics Knowledge Exchange collaboration with NIHR Cardiovascular MIC (formerly the Cardiovascular HTC) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact The objective of this seminar was to identify areas of real world crossover between research and clinical challenges. One output was that it laid foundations for future collaborative efforts and collectively allowed participants to address and identify unmet clinical challenges that could be addressed and raise new research questions that could be explored and answered together. The 46 clinical imaging attendees reported that the event had broadened their understanding of collaborative processes and unmet needs.
Year(s) Of Engagement Activity 2018
 
Description Co-Sponsor of Endoscopy Artefact Detection Challenge EAD2019 at IEEE International Symposium on Biomedical Imaging (ISBI) in Venice, April 8 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The intended purpose of the endoscopy artefact detection challenge to improve patient care and to improve information collection and reusability of endoscopy videos by identifying risks and limitations and workarounds using computer assisted tools. This challenge seeks to engage image analysts within the endoscopic community, clinical endoscopists (who can use the artefact dection algorithm to develop better imaging protocols) and manufacturers/industry members.
The primary engagement activity is to improve patient care for clinical endoscopists and AI developers by facilitating diagnosis and treatment of diseases in hollow organs.
MedIAN has provided funding to facilitate this challenge to be run in conjunction with the IEEE ISBI in April, 2019 in Venice. Part of this funding went towards supporting travel grants for ECRs travelling to this event.
Year(s) Of Engagement Activity 2019
URL https://biomedicalimaging.org/2019/
 
Description Developments in Healthcare Imaging - Connecting with Academia 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact As part of the MedIAN network, we organised a session on Deep Learning in Medical Imaging with selected invited talks from early career researchers and an introduction the network.
Year(s) Of Engagement Activity 2018
URL https://gateway.newton.ac.uk/event/tgmw58/programme
 
Description Developments in Healthcare Imaging - Connecting with Industry 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Presented the MedIAN network and invited participants to join the community.
Year(s) Of Engagement Activity 2017
URL http://www.turing-gateway.cam.ac.uk/event/tgmw48/programme
 
Description European Commission Expert Group on Liability and New Technologies 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact Provide the European Commission with expertise on the applicability of the Product Liability Directive to traditional products, new technologies and new societal challenges (Product Liability Directive formation) and assist the Commission in developing principles that can serve as guidelines for possible adaptations of applicable laws at EU and national level relating to new technologies (New Technologies formation).
Year(s) Of Engagement Activity 2018
URL http://ec.europa.eu/transparency/regexpert/index.cfm?do=groupDetail.groupMeeting&meetingId=9390
 
Description IEEE Trans Med Imaging: Special Issue on Simulation and Synthesis in Medical Image Analysis 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This special issue and accompanying editorial in one of the top journals of our field, introduces the Special Issue on Simulation and Synthesis in Medical Imaging. This special issue was run between Prof AF Frangi and Dr S Tsaftaris (both from UK) and Prof JL Prince (from Johns Hopkins University). In this editorial, we define so-far ambiguous terms of simulation and synthesis in medical imaging. We also briefly discuss the synergistic importance of mechanistic (hypothesis- driven) and phenomenological (data-driven) models of medical image generation. Finally, we introduce the twelve papers published in this issue covering both mechanistic (5) and phenomenological (7) medical image generation. This rich selection of papers covers applications in cardiology, retinopathy, histopathology, neurosciences, and oncology. It also covers all mainstream diagnostic medical imaging modalities. We conclude the editorial with a personal view on the field and highlight some existing challenges and future research opportunities.
Year(s) Of Engagement Activity 2018
URL https://ieee-tmi.org/fast-facts/featured-article.asp?id=28&title=Special-Edition:-Simulation-and-Syn...
 
Description Imperial Global Science Policy Forum 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact The Imperial Global Science Policy Forum is a high-profile network connecting Imperial academics with senior international science and technology advisers and diplomats, UK government policymakers, industry experts and other relevant stakeholders.
Year(s) Of Engagement Activity 2018
URL https://www.imperial.ac.uk/news/188848/diplomats-industry-leaders-discuss-future-ai/
 
Description International Conference on Image Computing and Computer Assisted Intervention (MICCAI) 2018. Granada, Spain - Program Chair Prof Julia Schnabel 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact This was the largest MICCAI conference to-date, with over 1500 participants from academic and industry.
Year(s) Of Engagement Activity 2018
URL http://miccai2018.org
 
Description Invited talk at CVPR 2017 workshop 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Gave an invited talk as part of a workshop at CVPR 2017 (Hawaii) which aimed to give an overview to computer vision researchers or problems and state-of-the-art research in medical image analysis. A little follow-up but discussion was quite passive (we might have been competing with the weather on the last day of the meeting!)
Year(s) Of Engagement Activity 2017
 
Description MEIbioeng16 Session 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Academic Lead: Alison Noble. Organised and participated in a session on the EPSRC Healthcare Technologies Networks at MEIbioeng16 held in Oxford. Purpose to present the Networks and discuss possible synergies as well as advertise the networks to the conference attendees.
Year(s) Of Engagement Activity 2016
 
Description MICCAI16 Challenge 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Sponsored international Challenge at MICCAI 2016 STACOM-SLAWT
Year(s) Of Engagement Activity 2016
URL http://www.doc.ic.ac.uk/~rkarim/la_lv_framework/wall/index.html
 
Description MISS Summer School 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Invited lecturer at international summer school.
Year(s) Of Engagement Activity 2016
 
Description MedIAN 2 day mini sandpit 2018 and 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Postgraduate students
Results and Impact Sandpits and challenges are fundamental ways to win funding - but there is a lot of competition. This mini sandpit aims to give you the experience of participating in a Sandpit, learn the skills required to improve your chances of success and potentially provide support for one team to take their idea to the next level.

The objectives were to build relationships across the network in order to be able to collaborate effectively and generate research proposals that stand out in a competitive environment. The programme support Early Career Researchers to become future leaders in their fields. The scope of the sandpit inquiry process takes a wide focus around bio-medical imaging (and won't necessarily be focused on specific diseases). It looks beyond current horizons to future needs and expands participants' thinking about opportunities.
Year(s) Of Engagement Activity 2018,2019
URL https://www.median.ac.uk/blog/
 
Description MedIAN Cardiovascular Scientific Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Academic Leads: Alison Noble, Alex Frangi. MedIAN Cardiovascular workshop that discussed issues in analysis of UK Biobank cardiovascular data.
Year(s) Of Engagement Activity 2016
 
Description MedIAN Cardiovascular scientific workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Academic Leads: Alison Noble, Julia Schnabel. A scientific work aimed at engagement between image analysis experts and cardiovascular medicine researchers/clinicians to discuss challenges and new opportunities to work together. Run in collaboration with the NIHR Cardiovascular HTC. Follow-up was meeting to discuss UK Biobank data analysis.
Year(s) Of Engagement Activity 2015
 
Description MedIAN CodeFest 2017 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact Academic Lead: Ben Glocker. Approximately 25 people attended including Imperial, UCL, King's and Oxford students but also people from Brighton, Warwick, Cambridge and Buckingham. Two 'challenges' were prepared to work on, a deep learning introduction to analyse brain MRI, and a virtual reality one using the Oculus Rift. Most participants opted for the deep learning one, and the majority came to learn with little prior experience so we had prepared introductory examples in Python and some ideas for example applications (e.g., gender classification, age regression, brain segmentation).
Everyone seemed to have a lot of fun, and the group formation worked really well with one or two groups trying to do real research. One group tried to map neural nets to random forests based on a recent paper, and the other group looked into predicting fMRI measurements. Of course, there is very little one can do in just two days, but the social and networking aspects were the focus of the event.
Some quotes below from participants:
Attendee from Warwick:
"It was an amazing experience of learning and working together. The provided sample examples were really helpful to understand and reuse to apply our own idea. In our team one member was really good with coding so we learn to code efficiently from him by modifying existing code with our own idea. I hope, similar events will be organized in future with specific interest in cardiac images."
Attendee from Imperial:
"Thanks again for a great codefest! Apologies for all my beginner questions, but it has given me a great flying start."
Year(s) Of Engagement Activity 2017
 
Description MedIAN Colorectal Scientfic Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Academic Lead: Julia Schnabel, Alex Frangi. Scientific workshop bringing together researchers interested in imaging of colorectal disease held in collaboration with the Colorectal Therapies HTC.
Year(s) Of Engagement Activity 2015
 
Description MedIAN website and digital presence 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Academic Lead: Alison Noble. A major activity in 2016/17 was set up a digital resource as the focal point for the MedIAN Network. The public interface of this is located at www.median.ac.uk. The MVP was launched in September 2017 and a further update will be launched in March 2018. The purpose is to provide a focal point for researchers to find out about opportunities and connect with similarly minded professionals to encourage new collaborations in the medical image analysis space.
Year(s) Of Engagement Activity 2017
URL http://www.median.ac.uk
 
Description Medical Image Computing and COmputer Assisted Interventions 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Prof Alejandro Frangi is General Chair of MICCAI 2018, the premier international conference in Medical Image Analysis. Several other members of MedIAN contribute this year too: Julia Schnabel as Program Chair, Dan Stoyanov as Workshop Chair, Zeike Taylor as Workshop Co-Chair, etc. This conference has been an opportunity for MedIAN to provide leadership to the community and international exposure.
Year(s) Of Engagement Activity 2018
URL http://www.miccai2018.org
 
Description Medical Imaging Summer School (MISS 2018): Medical Imaging meets Deep Learning - Director Prof Julia Schnabel 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact The focus of this Medical Imaging Summer School (MISS) is to train a new generation of young scientists to bridge this gap, by providing insights into the various interfaces between medical imaging and deep learning, based on the shared broad categories of medical image computing, computer-aided image interpretation and disease classification. The course will contain a combination of in-depth tutorial-style lectures on fundamental state-of-the-art concepts, followed by accessible yet advanced research lectures using examples and applications. A broad overview of the field will be given, and guided reading groups will complement lectures. The course will be delivered by world renowned experts from both academia and industry, who are working closely at the interface of medical imaging/deep learning.

The school aims to provide a stimulating graduate training opportunity for young researchers and Ph.D. students. The participants will benefit from direct interaction with world leaders in medical image computing and deep learning(often working in both fields). Participants will also have the opportunity to present their own research, and to interact with their scientific peers, in a friendly and constructive setting.
Year(s) Of Engagement Activity 2018
URL http://iplab.dmi.unict.it/miss18/
 
Description Microsoft Postgraduate Summer School 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Invited talk at Microsoft Summer school
Year(s) Of Engagement Activity 2016
 
Description One day conference "AI in Cardiac Imaging" MedIAN sponsoring travel grants for early career researchers to attend 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This conference targeted cardiologists and radiologists using or interested in becoming involved with AI approaches to MRI and PET/MRI, biomedical engineers (working in industry and pre- and post-doctoral students) interested in machine learning, and information and data scientists interested in how AI can be used in diagnosis of cardiovascular diseases. This brought together international leaders and researchers in machine learning, computational imaging, cardiac imaging and cardiology and featured high-profile speakers, posters and demonstrations from industry, academia, and clinical settings which all gave an overview of the clinical challenges, and disseminated the latest advances in cardiac imaging and AI, and how these can be combined to create a personalised diagnostic tool for cardiovascular diseases.
The intended purpose and outcomes/impact were summed up in the blog one of our travel grant recipients described after the event: "The day covered a wide range of different applications for AI within cardiac imaging - some being at a very early stage, e. g. going directly from MRI raw data to diagnosis, whereas others had been used in thousands of patients. Overall, I am happy that much of the earlier scepticism towards the use of machine learning within cardiac imaging seems to be gone (biased sampling I know...), which allows for those fruitful inter-disciplinary conversations that are necessary before a widespread clinical adoption can take place. "

Topics discussed included
AI for cardiac image acquisition and reconstruction
AI for automated cardiac imaging and QC
AI for cardiac image analysis and diagnostics
Extracting quantitative biomarkers using AI
Mining population and cohort studies using AI
Multi-modal (imaging, text, omics) AI approaches
AI-based decision support for CVD
Explainable and interpretable AI
Translation of AI-based solutions into the clinic
Year(s) Of Engagement Activity 2019
URL https://wp.doc.ic.ac.uk/smartheart/ai-in-cardiac-imaging-workshop
 
Description Science Writing Workshop at MIUA 2017 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact MedIAN lead: David Johns (Digital Communications Officer). An activity aimed at promoting awareness of the MedIAN network and its activities and ambitions held at the national Medical Image Understanding and Analysis conference. Comments from scientific writing workshop:
"I really liked the clarity of the concept of a scientific blog and the explanation of the differences from a publication"
"[I liked the] tricks and strategies for writing (list of things you do)"
"I got everything I wanted out of it, can't really think of a way to improve it
Year(s) Of Engagement Activity 2017
 
Description Speaker - International Women in Engineering Day 2017 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Secondary school girls from a number of local schools visited the department to see different areas of engineering and do some simple activities related to engineering. I gave the short talk at tea on some of emerging areas of engineering (wacky engineering) and talked a little about my own research and my field. Feedback from schools was positive for the whole event.
Year(s) Of Engagement Activity 2017
 
Description Sponsored 22nd conference on Medical Image Understanding and Analysis 2018 (MIUA) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Medical Image Understanding and Analysis (MIUA) is a UK-based meeting for the communication of research related to image analysis and its application to medical imaging and biomedicine. The meetings provide an opportunity to present and discuss research in medical image understanding and analysis; a rapidly growing subject with ever increasing real-world applicability.

MIUA is collaborated with the BMVA. Medical Image understanding is an intrinsically interdisciplinary activity, drawing on expertise from computer science, engineering, physics, clinical practice and fundamental bioscience. Many researchers with an interest in MIUA topics will also belong to wider communities in each of these disciplines, which overlap, but are not congruent with, the MIUA community.

The 22nd Annual Conference in Medical Image Understanding and Analysis (MIUA 2018) was held at the University of Southampton. MIUA is a UK-based meeting for the communication of research related to image analysis and its application to medical imaging and biomedicine. The meetings provide an opportunity to present and discuss research in medical image understanding and analysis; a rapidly growing subject with ever increasing real-world applicability.
Year(s) Of Engagement Activity 2018
URL https://miua2018.soton.ac.uk/
 
Description The Future of UK Medical Image Analysis - funding event 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact 2-day residential workshop entitled "The Future of UK Medical Image Analysis" to be held in Chester on 30 April and 1st May 2019.
The purpose of the workshop is to bring together leading figures in the UK medical image analysis community to discuss challenges facing our rapidly changing and growing field, to identify areas of future growth and opportunity in research and translation on a 5-10 year timescale, and to consider ways in which we can encourage greater networking and collaboration between more UK groups.

The primary output of the residential workshop will be a published report, and hopefully you will personally benefit from meeting some new professional acquaintances with shared research interests.
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Year(s) Of Engagement Activity 2019
 
Description The Medical Image Analysis Network (MedIAN) website, twitter account (MedIAN_UK) and Linkedin group MedIAN - Medical Imaging Analysis Network UK 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact The website and supporting outlets of social media were set up to engage and embed the medical imaging community. The website has event and blog features which can advertise relevant areas of interest to its members. Twitter can react to current events and member successes whilst reminding participants about call for paper dates, available travel grants and easily forge collaborations with similarly-minded groups in the ML, AI and imaging sectors. The Linkedin group was just to engage the members further; and mop up any stray clinicians, academics, and industry professionals working in medical image analysis. By signing up for a profile they can post announcements, opportunities, questions, and call-outs with the community, and contact other members directly. In this way, the network can be self sustained.
Year(s) Of Engagement Activity 2018,2019
URL https://www.median.ac.uk
 
Description Tutorial on Deep Learning for Medical Imaging at MICCAI 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This half-day tutorial covered important aspects of deep learning with a particular focus on medical imaging applications. The tutorial aimed to provide an introduction to the basics and fundamental concepts of deep learning, practical advice for the use of deep learning for medical imaging tasks, and gave an overview of latest developments and opportunities for future research. The tutorial was targeted at all levels and for any researcher interested in deep learning. The first lectures were tailored for people new to the field (e.g., first year PhD students), while later lectures covered more advanced topics and latest developments which should be of interest to anyone already working with deep learning methods.
Year(s) Of Engagement Activity 2018
URL https://sites.google.com/view/miccai-dl-tutorial
 
Description UCL Partners AHSC Cardiovasvcular eMedLab Workshop 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact This meeting had as purpose to bring together people working on the UK Biobank Data specially those with a technical focus working either on image analysis or data management. The group in Sheffield presented the work they are doing on cardiac image analysis and their work on www.multi-x.org. The work was very well received and we have currently a paper on quality assessment that is under review and whose origins could be traced back to discussions in this meeting with QMUL and Oxford colleagues.
Year(s) Of Engagement Activity 2017
URL https://uclpartners.com/events/cardiovascular-emedlab-workshop/