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Medical Image Understanding and Analysis conference

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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 [1]

The list of MIUA steering committee members

Ke Chen, University of Liverpool.

Víctor González-Castro, University of León.

Tryphon Lambrou, University of Aberdeen.

Sasan Mahmoodi, University of Southampton.

Stephen McKenna, University of Dundee.

Mark Nixon, University of Southampton.

Nasir Rajpoot, University of Warwick.

Constantino Carlos Reyes-Aldasoro, City University London.

Maria Valdes-Hernandez, University of Edinburgh.

Xianghua Xie, Swansea University.

Xujiong Ye, University of Lincoln.

Yalin Zheng, University of Liverpool.

Reyer Zwiggelaar, Aberystwyth University.

Mohammad Yaqub, Mohamed bin Zayed University of Artificial Intelligence and University of Oxford

The list of current and previous MIUA Chairs

Previous Conferences
Year Venue Chair(s) Submissions Accepted Orals Posters %UK %Intl+ Attendees Proceedings
2023 University of Aberdeen
2022 University of Cambridge Guang Yang
2021 University of Oxford [2] Bartlomiej W. Papiez, Mohammad Yaqub, Jianbo Jiao, Ana Namburete, Alison Noble 81 (Tech) Virtual conference 40 (49%) 40 (video presentation) - 40% 60% 113
2020 University of Oxford [3] Bartlomiej W. Papiez, Mohammad Yaqub, Jianbo Jiao, Ana Namburete, Alison Noble 72 (Tech) Virtual conference 34 (47%) 34 (video presentation) - 55% 45% 411 (free registration)
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] Sasan Mahmoodi, Reyer Zwiggelaar, Mark Nixon (academic) 42 (Tech.) 4 (Clin. Abs.) 34 (80% Tech) 27 7 74% 26% 69
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
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 Daniel Rueckert 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 Mike Brady 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 Alison Noble 72 53 (74%) 26 27 98% 2%

References

  1. ^ a b "Home page". BMVA.
  2. ^ http://miua2021.com/
  3. ^ http://miua2020.com/
  4. ^ https://miua2019.wordpress.com/
  5. ^ https://miua2018.soton.ac.uk/
  6. ^ https://miua2017.wordpress.com/ [user-generated source]
  7. ^ "MIUA 2016 | Medical Image Understanding and Analysis Conference _ 6 – 8 July, Loughborough University, UK". Archived from the original on 2016-12-20. Retrieved 2016-12-06.
  8. ^ http://miua.blogs.lincoln.ac.uk
  9. ^ http://miua2012.swansea.ac.uk/
  10. ^ "Medical Image Understanding and Analysis (MIUA) 2010".
  11. ^ "Archived copy". Archived from the original on 2013-10-17. Retrieved 2014-06-13.{{cite web}}: CS1 maint: archived copy as title (link)
  12. ^ "Archived copy". Archived from the original on 2012-07-19. Retrieved 2014-06-13.{{cite web}}: CS1 maint: archived copy as title (link)
  13. ^ "Archived copy". Archived from the original on 2008-05-02. Retrieved 2014-06-13.{{cite web}}: CS1 maint: archived copy as title (link)
  14. ^ "Archived copy". Archived from the original on 2012-05-08. Retrieved 2014-06-13.{{cite web}}: CS1 maint: archived copy as title (link)
  15. ^ "Miua 2005". Archived from the original on 2013-10-17. Retrieved 2014-06-13.
  16. ^ "Medical Image Understanding and Analysis". Archived from the original on 2013-10-17. Retrieved 2014-06-13.

See also

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