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Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

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

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Alejandro F. Frangi

    1. University of Leeds, Leeds, UK

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  2. Julia A. Schnabel

    1. King’s College London, London, UK

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  3. Christos Davatzikos

    1. University of Pennsylvania, Philadelphia, USA

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  4. Carlos Alberola-López

    1. Universidad de Valladolid, Valladolid, Spain

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  5. Gabor Fichtinger

    1. Queen’s University, Kingston, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11073)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: MICCAI 2019.

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Table of contents (86 papers)

  1. Front Matter

    Pages I-XXX
    Download chapter PDF

  2. Computer Assisted Interventions: Image Guided Interventions and Surgery

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning

      • Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sebastien Ourselin et al.
      Pages 3-11

    3. A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections

      • Andrea Mendizabal, Tatiana Fountoukidou, Jan Hermann, Raphael Sznitman, Stephane Cotin
      Pages 12-20

    4. Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy

      • Shekoofeh Azizi, Pingkun Yan, Amir Tahmasebi, Peter Pinto, Bradford Wood, Jin Tae Kwak et al.
      Pages 21-29

    5. A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation

      • Jie Luo, Matthew Toews, Ines Machado, Sarah Frisken, Miaomiao Zhang, Frank Preiswerk et al.
      Pages 30-38

    6. Soft-Body Registration of Pre-operative 3D Models to Intra-operative RGBD Partial Body Scans

      • Richard Modrzejewski, Toby Collins, Adrien Bartoli, Alexandre Hostettler, Jacques Marescaux
      Pages 39-46

    7. Automatic Classification of Cochlear Implant Electrode Cavity Positioning

      • Jack H. Noble, Robert F. Labadie, Benoit M. Dawant
      Pages 47-54

    8. X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

      • Bastian Bier, Mathias Unberath, Jan-Nico Zaech, Javad Fotouhi, Mehran Armand, Greg Osgood et al.
      Pages 55-63

    9. Endoscopic Navigation in the Absence of CT Imaging

      • Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor
      Pages 64-71

    10. A Novel Mixed Reality Navigation System for Laparoscopy Surgery

      • Jagadeesan Jayender, Brian Xavier, Franklin King, Ahmed Hosny, David Black, Steve Pieper et al.
      Pages 72-80

    11. Respiratory Motion Modelling Using cGANs

      • Alina Giger, Robin Sandkühler, Christoph Jud, Grzegorz Bauman, Oliver Bieri, Rares Salomir et al.
      Pages 81-88

    12. Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI Validation

      • Chloé Audigier, Younsu Kim, Nicholas Ellens, Emad M. Boctor
      Pages 89-97

    13. DeepDRR – A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures

      • Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier, Javad Fotouhi, Mehran Armand et al.
      Pages 98-106

    14. Exploiting Partial Structural Symmetry for Patient-Specific Image Augmentation in Trauma Interventions

      • Javad Fotouhi, Mathias Unberath, Giacomo Taylor, Arash Ghaani Farashahi, Bastian Bier, Russell H. Taylor et al.
      Pages 107-115

    15. Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model

      • Siming Bayer, Nishant Ravikumar, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Martin Ostermeier et al.
      Pages 116-124

    16. Video-Based Computer Aided Arthroscopy for Patient Specific Reconstruction of the Anterior Cruciate Ligament

      • Carolina Raposo, Cristóvão Sousa, Luis Ribeiro, Rui Melo, João P. Barreto, João Oliveira et al.
      Pages 125-133

    17. Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN

      • Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu
      Pages 134-142

    18. Endoscopic Laser Surface Scanner for Minimally Invasive Abdominal Surgeries

      • Jordan Geurten, Wenyao Xia, Uditha Jayarathne, Terry M. Peters, Elvis C. S. Chen
      Pages 143-150

    19. Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging

      • Ahmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly, Mamadou Diallo, Ali Kamen
      Pages 151-158
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Other volumes

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

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

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

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

  5. Computational Biomechanics for Medicine

Keywords

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. 

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

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