EPSRC-NIHR HTC Partnership Award: Medical Image Analysis Network
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 new Medical Image Analysis Network 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. A 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. We anticipate that Network members will jointly 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 which allow earlier detection of disease, better stratification of disease so that the most appropriate therapy can be selected for a patient, and new image-based quantitative tools to increase the success of interventions and therapies and improve the overall well-being of patients with these conditions.
How will the Network achieve this goal? The Network will aim to encourage the development of new collaborations through workshops, joint meetings with other networks/organisations, small scale feasibility studies, Clinical Readiness events and Challenge competitions which will be open to the broader imaging research community. The hub for promotion of Network activities, dissemination of network outputs, and recruitment of new members (particularly from academia and industry not already involved in the HTCs) will be the Network website which will also act as an information source for imaging researchers interested in these clinical areas.
The HTCs are working with patient groups and clinicians on identifying unmet clinical needs in these areas. An aim of the new Medical Image Analysis Network 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. A 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. We anticipate that Network members will jointly 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 which allow earlier detection of disease, better stratification of disease so that the most appropriate therapy can be selected for a patient, and new image-based quantitative tools to increase the success of interventions and therapies and improve the overall well-being of patients with these conditions.
How will the Network achieve this goal? The Network will aim to encourage the development of new collaborations through workshops, joint meetings with other networks/organisations, small scale feasibility studies, Clinical Readiness events and Challenge competitions which will be open to the broader imaging research community. The hub for promotion of Network activities, dissemination of network outputs, and recruitment of new members (particularly from academia and industry not already involved in the HTCs) will be the Network website which will also act as an information source for imaging researchers interested in these clinical areas.
Planned Impact
The main non-academic beneficiaries of Network 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 the Medical Image Analysis network 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. The initial network members are collectively well-connected with all the major global imaging companies (GE, Philips, Siemens, Toshiba), other key global players with specialist interests such as Medtronic, GSK, Tomtec, Samsung and have research links with SMEs of various sizes including university spin-outs (Mirada Medical, Ixico, Intelligent Ultrasound) and the potential to connect with other companies via member links to Academic Health Science Networks (Oxford, UCL Partners, Imperial College Health Partners, South London, Yorkshire and Humber) and biotech networks (such as the Oxford Biotech Network (OBN)). Additionally, the HTCs may have other imaging companies in their own networks who may be interested in participating in network activities and research projects.
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.
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 the Medical Image Analysis network 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. The initial network members are collectively well-connected with all the major global imaging companies (GE, Philips, Siemens, Toshiba), other key global players with specialist interests such as Medtronic, GSK, Tomtec, Samsung and have research links with SMEs of various sizes including university spin-outs (Mirada Medical, Ixico, Intelligent Ultrasound) and the potential to connect with other companies via member links to Academic Health Science Networks (Oxford, UCL Partners, Imperial College Health Partners, South London, Yorkshire and Humber) and biotech networks (such as the Oxford Biotech Network (OBN)). Additionally, the HTCs may have other imaging companies in their own networks who may be interested in participating in network activities and research projects.
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.
Organisations
- University of Oxford (Lead Research Organisation)
- UK Biobank (Collaboration)
- Paul Sabatier University (University of Toulouse III) (Collaboration)
- Oxford Academic Health Science Network (Collaboration)
- Engineering and Physical Sciences Research Council (EPSRC) (Collaboration)
- Medical Image Understanding and Analysis (Collaboration)
- Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE) (Collaboration)
- Nagoya University (Collaboration)
- National Institute for Health Research (Collaboration)
- Leeds Teaching Hospitals NHS Trust (Project Partner)
- Guy's and St Thomas' NHS Foundation Trust (Project Partner)
Publications
Rueckert D
(2014)
Registration and Recognition in Images and Videos
Papiez B
(2014)
Biomedical Image Registration
Stefanini C
(2023)
A novel synthesis of two decades of microsatellite studies on European beech reveals decreasing genetic diversity from glacial refugia.
in Tree genetics & genomes
Rueckert, D.
(2014)
Registration and segmentation in medical imaging
in Studies in Computational Intelligence
| Description | This award funded the first phase of development of a professional network (the Medical Image Analysis Network) with a focus on encouraging greater dialogue between professionals working at the interfaces of academic medical image methods development, companies who develop medical image analysis products and/or use them in their products, and clinicians (the end users of the research and innovation). Success of such a network is strongly dependent on the expectations and needs of the given professional community and we were keen to try both traditional and new ways of engagement. Activities run by the network included scientific meetings, support for organising "grand challenges" and events for early career researchers. Engagement with the NIHR Colorectal Therapies Healthcare Technologies Co-operative (HTC) and the NIHR Cardiovascular HTC allowed engagement and discussion with new unmet clinical needs. We quickly identified that running traditional scientific meetings was not popular due to the wealth of opportunities already available. Support for ECRs was identified as a need, as was "bringing my professional network to me" via creation of a website. The networks efforts are now being continued via the MedIAN Plus grant. |
| Exploitation Route | The network is being taken forward via the MedIAN Plus award focussing on three things (1) supporting ECR career development and building the next generation community of researchers; (2) the MedIAN digital platform and (3) engagement with other networks to deliver events of mutual interest and to encourage cross-fertilization of knowledge and ideas. |
| Sectors | Healthcare |
| URL | http://www.median.ac.uk |
| Description | The main way that this networking award contributed to non-academic impacts was via knowledge exchange with industry and end-users of technologies (the medical professional). This was primarily via events (face-to-face) although the website provided another mechanism of engagement and connection. Example events and outcomes are explained in other sections. This award was followed by a second networking award which continued networking activities on a larger scale, particularly focused on activities aimed at supporting ECRs in career development which was identified as an opportunity in this first award. |
| First Year Of Impact | 2017 |
| Sector | Healthcare |
| Impact Types | Societal,Economic |
| 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 | Public |
| Country | United Kingdom |
| Start | 02/2018 |
| End | 01/2021 |
| Description | EPSRC-NIHR HTC Partnership Award 'Plus' |
| Amount | £508,000 (GBP) |
| Funding ID | EP/N026993/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2016 |
| End | 09/2019 |
| Description | Educational Stipend for Students |
| Amount | $450 (USD) |
| Organisation | International Society for Magnetic Resonance in Medicine (ISMRM) |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 04/2017 |
| End | 04/2017 |
| Description | Healthcare Impact Partnership |
| Amount | £932,050 (GBP) |
| Funding ID | EP/P023509/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2017 |
| End | 09/2020 |
| Description | Learned Society Fund 16/17 - Funding for conference/workshop attendance |
| Amount | £500 (GBP) |
| Organisation | University of Sheffield |
| Department | Learned Societies Fund (University of Sheffield) |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 04/2017 |
| End | 04/2017 |
| Description | MRC Industrial CASE studentship |
| Amount | £104,565 (GBP) |
| Funding ID | MR/N018028/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2017 |
| End | 03/2021 |
| Description | Royal Society International Exchange |
| Amount | £12,000 (GBP) |
| Organisation | The Royal Society |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2015 |
| End | 02/2016 |
| 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 | Medical Image Understanding and Analysis (MIUA) Conference series |
| Organisation | Medical Image Understanding and Analysis |
| Country | United Kingdom |
| Sector | Learned Society |
| PI Contribution | The MedIAN network provides a complementary function to the national conference in the medical image analysis field (MIUA). In 2017 the network ran a science writing workshop at MIUA 2017, and sponsored the meeting in 2018. |
| Collaborator Contribution | MIUA is the academic national meeting in medical image analysis so connecting with it allows the network to reach out to ECRs/future leaders in the field. |
| Impact | We shared information between the two networks. MedIAN ran a scientific writing event in 2017 and wan an event at the annual conference in 2018. |
| Start Year | 2017 |
| 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 |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| 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 | Charity/Non Profit |
| 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 | Oxford AHSN |
| Organisation | Oxford Academic Health Science Network |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| 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 | Predictive deformation modelling in medical imaging |
| Organisation | Paul Sabatier University (University of Toulouse III) |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Bilateral research visits with the Institut de Mathématiques de Toulouse (Dr Laurent Risser). |
| Collaborator Contribution | Bilateral research visits with the Institut de Mathématiques de Toulouse (Dr Laurent Risser). |
| Impact | A range of publication have arisen with Dr Laurent Risser through this continued collaboration, which have been associated with this record. |
| Start Year | 2014 |
| Description | Royal Society International Exchange: Image data science for lung cancer |
| Organisation | Nagoya University |
| Country | Japan |
| Sector | Academic/University |
| PI Contribution | Prof Kensaku Mori and his research laboratory at Nagoya University have multiple exchanges with Prof Schnabel's laboratory. |
| Collaborator Contribution | Prof Kensaku Mori and his research laboratory at Nagoya University have multiple exchanges with Prof Schnabel's laboratory. |
| Impact | Under submission. |
| Start Year | 2015 |
| Description | SINAPSE |
| Organisation | Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | SINAPSE and MedIAN via the MIUA conference which was held in Edinburgh in 2017. |
| Collaborator Contribution | We ran a joint event and SINAPSE contributed to a BigData workshop 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 | 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 | Co-organiser of ASMUS2020, a MICCAI workshop |
| 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 | Advances in Simplifying Medical UltraSound (ASMUS) 2020 is an international workshop that provides a forum for research topics around ultrasound image computing and computer-assisted interventions and robotic systems that utilize ultrasound imaging. It was held in conjunction with MICCAI 2020 in virtual form. The nineteen accepted papers were selected based on their scientific contribution, via a double-blind process involving written reviews from at least two external reviewers in addition to a member of the committee. The published work includes reports across a wide range of methodology, research and clinical applications. Advanced deep learning approaches for anatomy recognition, segmentation, registration and skill assessment are the dominant topics, in addition to ultrasound-specific new approaches in augmented reality and remote assistance. An interesting trend revealed by these papers is the merging of ultrasound probe and surgical instrument localization with robotically assisted guidance to produce increasingly intelligent systems that learn from expert labels and incorporate domain knowledge to enable increasingly sophisticated automation and fine-grained control. Two invited speakers were included in the workshop and the meeting had 80+ attendees. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://sites.google.com/view/asmus2020 |
| 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 | 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 | 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 | 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 | MIUA 2021 Conference - co-organiser |
| 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 | MIUA is a UK-based international conference for the communication of image processing and analysis research and its application to medical imaging and biomedicine. This was the 25th edition of the meeting which was held virtually. 40 papers were presented (27k downloads as of 09-03-2022). MIUA is the principal UK forum for communicating research progress within the community interested in image analysis applied to medicine and related biological science. The meeting is designed for the dissemination and discussion of research in medical image understanding and analysis, and aims to encourage the growth and raise the profile of this multi-disciplinary field by bringing together the various communities including among others: |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://miua2021.com/ |
| Description | MIUA2020 Conference - co-organiser |
| 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 | MIUA is a UK-based international conference for the communication of image processing and analysis research and its application to medical imaging and biomedicine. This was the 24th edition of the meeting which was held virtually. MIUA is the principal UK forum for communicating research progress within the community interested in image analysis applied to medicine and related biological science. The meeting is designed for the dissemination and discussion of research in medical image understanding and analysis, and aims to encourage the growth and raise the profile of this multi-disciplinary field by bringing together the various communities including among others: |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://miua2020.com/ |
| 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 | 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 | 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/ |