Medical Image Understanding and Analysis

22nd Conference, MIUA 2018, Southampton, UK, July 9-11, 2018, Proceedings

  • Mark Nixon
  • Sasan Mahmoodi
  • Reyer Zwiggelaar
Conference proceedings MIUA 2018

Part of the Communications in Computer and Information Science book series (CCIS, volume 894)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Deep Learning in Medical Imaging

    1. Front Matter
      Pages 1-1
    2. Najah Alsubaie, Muhammad Shaban, David Snead, Ali Khurram, Nasir Rajpoot
      Pages 3-11
    3. Sunita Agarwala, Abhishek Kumar, Debashis Nandi, Ashis Kumar Dhara, Anup Sadhu, Sumitra Basu Thakur et al.
      Pages 12-22
    4. Yassar Almutairi, Tim Cootes, Karl Kadler
      Pages 23-34
  3. Special Session: Liver Analysis

    1. Front Matter
      Pages 35-35
    2. Katherine Arndtz, Benjamin Irving, Peter Eddowes, Dan Green, Matt Kelly, Naomi Jayaratne et al.
      Pages 37-43
    3. Benjamin Irving, Chloe Hutton, Katherine Arndtz, Naomi Jayaratne, Matt Kelly, Rajarshi Banerjee et al.
      Pages 44-50
    4. Marta Wojciechowska, Benjamin Irving, Andrea Dennis, Henry R. Wilman, Rajarshi Banerjee, Sir Michael Brady et al.
      Pages 51-56
    5. Ged Ridgway, Kamil Janowski, Andrea Dennis, Velicia Bachtiar, John McGonigle, Chris Everitt et al.
      Pages 57-62
  4. Medical Image Analysis

    1. Front Matter
      Pages 63-63
    2. Elham Abouei, Anthony M. D. Lee, Geoffrey Hohert, Pierre Lane, Stephen Lam, Calum MacAulay
      Pages 65-73
    3. Zobia Suhail, Arif Mahmood, Liping Wang, Paul N. Malcolm, Reyer Zwiggelaar
      Pages 74-83
    4. Abhishek Kumar, Sunita Agarwala, Ashis Kumar Dhara, Debashis Nandi, Sumitra Basu Thakur, Ashok Kumar Bhadra et al.
      Pages 84-93
    5. Miao Fan, Jared Vicory, Sarah McGill, Stephen Pizer, Julian Rosenman
      Pages 106-117
    6. Jo Verhoeven, Naomi Rachel Miller, Constantino Carlos Reyes-Aldasoro
      Pages 130-139
  5. Texture and Image Analysis

    1. Front Matter
      Pages 141-141
    2. Yasseen Almakady, Sasan Mahmoodi, Joy Conway, Michael Bennett
      Pages 153-164
    3. Oleksii Leonovych, Mohammad Rami Koujan, Ahsan Akram, Jody Westerfeld, David Wilson, Kevin Dhaliwal et al.
      Pages 165-176
    4. D. J. J. Farnell, J. Galloway, A. Zhurov, S. Richmond, P. Pirttiniemi, Raija Lähdesmäki
      Pages 177-188
  6. MRI: Applications and Techniques

    1. Front Matter
      Pages 201-201
    2. Finn Lennartsson, Angela Darekar, Koushik Maharatna, Daniel Konn, David Allen, J-Donald Tournier et al.
      Pages 203-216
    3. Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
      Pages 217-228
    4. Paul Stroe, Xianghua Xie, Adeline Paiement
      Pages 229-238
  7. Segmentation in Medical Images

    1. Front Matter
      Pages 239-239
    2. Cefa Karabağ, Martin L. Jones, Christopher J. Peddie, Anne E. Weston, Lucy M. Collinson, Constantino Carlos Reyes-Aldasoro
      Pages 241-250
    3. Nashid Alam, Arnau Oliver, Erika R. E. Denton, Reyer Zwiggelaar
      Pages 251-261
    4. José Alonso Solís-Lemus, Brian Stramer, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro
      Pages 262-273
  8. CT: Learning and Planning

    1. Front Matter
      Pages 275-275
    2. Lorenz Berger, Hyde Eoin, M. Jorge Cardoso, Sébastien Ourselin
      Pages 277-286
    3. Matt Daykin, Mathini Sellathurai, Ian Poole
      Pages 287-298
    4. Ludovic Blache, Fredrik Nysjö, Filip Malmberg, Andreas Thor, Andrés Rodríguez Lorenzo, Ingela Nyström
      Pages 299-310
  9. Special Session: Ocular Imaging Analysis

    1. Front Matter
      Pages 311-311
    2. Ying Xu, Bryan M. Williams, Baidaa Al-Bander, Zheping Yan, Yao-chun Shen, Yalin Zheng
      Pages 325-332
  10. Applications of Medical Image Analysis

    1. Front Matter
      Pages 341-341
    2. Nur Fatihah Binti Azmi, Frank Delbressine, Loe Feijs, Sidarto Bambang Oetomo
      Pages 354-370
    3. Ruqayya Awan, Nasir Rajpoot
      Pages 371-378
  11. Back Matter
    Pages 379-380

About these proceedings


This book constitutes the refereed proceedings of the 22st Annual Conference on Medical Image Understanding and Analysis, MIUA 2018, held in Southampton, UK, in July 2018.
The 34 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on liver analysis, medical image analysis, texture and image analysis, MRI: applications and techniques, segmentation in medical images, CT: learning and planning, ocular imaging analysis, applications of medical image analysis.


artificial intelligence classification computer aided diagnosis image processing image quality image reconstruction image segmentation medical images neural networks principal component analysis principal components Support Vector Machines (SVM)

Editors and affiliations

  • Mark Nixon
    • 1
  • Sasan Mahmoodi
    • 2
  • Reyer Zwiggelaar
    • 3
  1. 1.School of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUnited Kingdom
  2. 2.School of Electronics and Computer ScienceUniversity of Southampton, SouthamptonSouthamptonUnited Kingdom
  3. 3.Department of Computer ScienceAberystwyth UniversityAberystwythUnited Kingdom

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