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Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I

Conference proceedings info: MICCAI 2018.

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Table of contents (100 papers)

  1. Front Matter

    Pages I-XXXI
  2. Image Quality and Artefacts

    1. Front Matter

      Pages 1-1
    2. Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear

      • Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant
      Pages 3-11
    3. Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising

      • Peng Liu, Yangjunyi Li, Mohammad D. El Basha, Ruogu Fang
      Pages 12-20
    4. Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI

      • David Owen, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan Rohrer et al.
      Pages 21-29
    5. DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning

      • Cagdas Ulas, Giles Tetteh, Stephan Kaczmarz, Christine Preibisch, Bjoern H. Menze
      Pages 30-38
    6. Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss

      • Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw et al.
      Pages 39-47
    7. Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs

      • Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Kerstin Kläser, Andrew Melbourne, Pawel J. Markiewicz et al.
      Pages 48-56
    8. Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?

      • Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh
      Pages 57-64
    9. A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging

      • Amir Fazlollahi, Scott Ayton, Pierrick Bourgeat, Ibrahima Diouf, Parnesh Raniga, Jurgen Fripp et al.
      Pages 65-72
    10. Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors

      • Hongxiang Lin, Takashi Azuma, Mehmet Burcin Unlu, Shu Takagi
      Pages 73-81
    11. A No-Reference Quality Metric for Retinal Vessel Tree Segmentation

      • Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho
      Pages 82-90
    12. Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network

      • Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li
      Pages 91-99
    13. A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI

      • Can Zhao, Aaron Carass, Blake E. Dewey, Jonghye Woo, Jiwon Oh, Peter A. Calabresi et al.
      Pages 100-108
    14. Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images

      • Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander
      Pages 118-125
    15. High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning

      • Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alex Bronstein, Michael Zibulevsky, Oleg Michailovich et al.
      Pages 126-134
  3. Image Reconstruction Methods

    1. Front Matter

      Pages 135-135
    2. Phase-Sensitive Region-of-Interest Computed Tomography

      • Lina Felsner, Martin Berger, Sebastian Kaeppler, Johannes Bopp, Veronika Ludwig, Thomas Weber et al.
      Pages 137-144
    3. Some Investigations on Robustness of Deep Learning in Limited Angle Tomography

      • Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas Maier
      Pages 145-153

Other Volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

    21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I
  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

    21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II
  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

    21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III
  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

    21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV
  5. Computational Biomechanics for Medicine

    Solid and Fluid Mechanics for the Benefit of Patients

About this book

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.

The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections:
Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods.
Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications.
Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.
Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications. 

Keywords

  • Artificial intelligence
  • Classification
  • Computer vision
  • Estimation
  • Image analysis
  • Image enhancement
  • Image processing
  • Image quality
  • Image reconstruction
  • Image segmentation
  • Imaging systems
  • Medical images
  • Medical imaging
  • Neural networks
  • Pattern recognition
  • Reconstruction
  • Segmentation methods
  • Semantics
  • Signal processing
  • Support Vector Machines (SVM)

Editors and Affiliations

  • University of Leeds, Leeds, UK

    Alejandro F. Frangi

  • King’s College London, London, UK

    Julia A. Schnabel

  • University of Pennsylvania, Philadelphia, USA

    Christos Davatzikos

  • Universidad de Valladolid, Valladolid, Spain

    Carlos Alberola-López

  • Queen’s University, Kingston, Canada

    Gabor Fichtinger

Bibliographic Information

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-00928-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 129.99
Price excludes VAT (USA)