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.[1] 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. See more information:
| Year | Venue | Chair(s) | Submissions | Accepted | Orals | Posters | %UK | %Intl+ | Attendees | Proceedings | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | University of Leeds | Sharib Ali | |||||||||
| 2024 | Manchester Metropolitan University | Moi Hoon Yap, Timothy Cootes, Reyer Zwiggelaar, Neil Reeves | Proceedings, Part I Proceedings, Part II | ||||||||
| 2023 | University of Aberdeen | Gordon Waiter, Tryphon Lambrou, Georgios Leontidis, Nir Oren, Teresa Morris, Sharon Gordon | Proceedings | ||||||||
| 2022 | University of Cambridge | Guang Yang, Angelica Aviles-Rivero, Michael Roberts, Carola-Bibiane Schonlieb | 130 | 65 | 27 | 38 | 29% | 71% | 208 | MIUA 2022 Proceedings | |
| 2021 | University of Oxford[2] | 81 (Tech) Virtual conference | 40 (49%) | 40 (video presentation) | - | 40% | 60% | 113 | MIUA 2021 Proceedings | ||
| 2020 | University of Oxford[3] | 72 (Tech) Virtual conference | 34 (47%) | 34 (video presentation) | - | 55% | 45% | 411 (free registration) | MIUA 2020 Proceedings | ||
| 2019 | University of Liverpool[4] | Yalin Zheng, Bryan Michael Williams, Ke Chen | 70 (Tech); 20 (Clin. Abs.) | 43 (61.4%) | 36 | 7 | 64 | 46 | 110 | MIUA 2019 Proceedings | |
| 2018 | University of Southampton [5] | 42 (Tech.) 4 (Clin. Abs.) | 34 (80% Tech) | 27 | 7 | 74% | 26% | 69 | MIUA 2018 Proceedings | ||
| 2017 | University of Edinburgh[6] | Maria del Carmen Valdés Hernández, Victor Gonzalez-Castro | 107 (Tech.) 22 (Clin. Abs.) | 82 (78% Tech) | 37 | 64 | 73% | 27% | 150 | MIUA 2017 Proceedings | |
| 2016 | University of Loughborough[7] | Alastair Gale, Yan Chen | 34 | 33 (97%) | 20 | 13 | 64% | 36% | 53 | ||
| 2015 | University of Lincoln[8] | Tryphon Lambrou, Xujiong Ye | 48 | 34 (71%) | 17 | 17 | 71% | 29% | 60 | ||
| 2014 | City University of London. | Constantino Carlos Reyes-Aldasoro, Greg Slabaugh | 58 | 45 (77%) | 21 | 24 | 73% | 27% | 79 | MIUA 2014 Proceedings | |
| 2013 | University of Birmingham | Ela Claridge | 47 | 35 (74%) | 18 | 17 | 72% | 28% | 69 | ||
| 2012 | University of Swansea[9] | Xianghua Xie | 52 | 38 (73%) | 22 | 16 | 87% | 13% | 64 | ||
| 2011 | King's College London | William Crum, Graemme Penney | 76 | 54 (71%) | 21 | 34 | 89% | 11% | 75 | ||
| 2010 | University of Warwick[10] | Abhir Bhalearo, Nasir Rajpoot | 53 | 43 (81%) | 20 | 23 | 86% | 14% | 63 | ||
| 2009 | University of Kingston.[11] | Jamshid Dehmeshki, Darrel Greenhill, Andreas Hoppe | 63 | 55 (87%) | 24 | 31 | 82% | 12% | 72 | ||
| 2008 | University of Dundee[12] | Stephen McKenna, Jesse Hoey | 85 | 51 (60%) | 20 | 31 | 82% | 18% | 84 | ||
| 2007 | University of Aberystwyth[13] | Fred Labrosse, Reyer Zwiggelaar | . | 45 (.) | 20 | 25 | 92% | 8% | . | ||
| 2006 | University of Manchester[14] | S.M. Astley, T.F. Cootes, J. Graham, N. Thacker. | ~70 | 50 (~71%) | 20 | 30 | 92% | 8% | ~75 | ||
| 2005 | University of Bristol[15] | Majid Mirmehdi | . | 66 (.) | 34 | 32 | 89% | 11% | . | ||
| 2004 | Imperial College London | 91 | 69 (76%) | 34 | 35 | 93% | 7% | . | |||
| 2003 | University of Sheffield | David Barber | . | 52 (.) | 24 | 28 | 100% | 0% | . | ||
| 2002 | University of Portsmouth | Alex Houston, Reyer Zwiggelaar | . | 54 (.) | 24 | 30 | 96% | 4% | 104 | ||
| 2001 | University of Birmingham. | Ela Claridge | . | 42 (.) | 25 | 17 | 95% | 5% | . | ||
| 2000 | University College London (UCL) | 48 (.) | 25 | 28 | 100% | 0% | . | ||||
| 1999 | University of Oxford | 59 | 47 (80%) | 21 | 26 | 94% | 6% | ||||
| 1998 | University of Leeds[16] | Liz Berry, DC Hogg, KV Mardia, MA Smith | ~50 | 43 (86%) | 28 | 15 | 95% | 5% | 108 | ||
| 1997 | University of Oxford | 72 | 53 (74%) | 26 | 27 | 98% | 2% |