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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Sebastien Ourselin

    1. University College London , London, United Kingdom

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  2. Leo Joskowicz

    1. The Hebrew University of Jerusalem , Jerusalem, Israel

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  3. Mert R. Sabuncu

    1. Harvard Medical School , Boston, USA

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  4. Gozde Unal

    1. Istanbul Technical University , Istanbul, Turkey

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  5. William Wells

    1. Harvard Medical School and Brigham and Women's Hospital, Boston, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9901)

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 2016.

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Table of contents (80 papers)

  1. Front Matter

    Pages I-XXV
    Download chapter PDF

  2. Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease

    • Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen
    Pages 1-8

  3. Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method

    • Brent C. Munsell, Guorong Wu, Yue Gao, Nicholas Desisto, Martin Styner
    Pages 9-17

  4. Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification

    • Xiaobo Chen, Han Zhang, Dinggang Shen
    Pages 18-25

  5. Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks

    • Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen
    Pages 26-34

  6. Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors

    • Menglin Jiang, Shaoting Zhang, Yuanjie Zheng, Dimitris N. Metaxas
    Pages 35-43

  7. Differential Dementia Diagnosis on Incomplete Data with Latent Trees

    • Christian Ledig, Sebastian Kaltwang, Antti Tolonen, Juha Koikkalainen, Philip Scheltens, Frederik Barkhof et al.
    Pages 44-52

  8. Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules

    • Sihong Chen, Dong Ni, Jing Qin, Baiying Lei, Tianfu Wang, Jie-Zhi Cheng
    Pages 53-60

  9. Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images

    • Chunfeng Lian, Su Ruan, Thierry Denœux, Hua Li, Pierre Vera
    Pages 61-69

  10. Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer’s Disease Diagnosis

    • Jailin Peng, Le An, Xiaofeng Zhu, Yan Jin, Dinggang Shen
    Pages 70-78

  11. Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer’s Disease Diagnosis

    • Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen
    Pages 79-87

  12. Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis

    • Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen
    Pages 88-96

  13. Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers

    • Renata Georgia Raidou, Hugo J. Kuijf, Neda Sepasian, Nicola Pezzotti, Willem H. Bouvy, Marcel Breeuwer et al.
    Pages 97-105

  14. The Automated Learning of Deep Features for Breast Mass Classification from Mammograms

    • Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
    Pages 106-114

  15. Multimodal Deep Learning for Cervical Dysplasia Diagnosis

    • Tao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas
    Pages 115-123

  16. Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction

    • Wei Shen, Mu Zhou, Feng Yang, Di Dong, Caiyun Yang, Yali Zang et al.
    Pages 124-131

  17. DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field

    • Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu
    Pages 132-139

  18. Deep Retinal Image Understanding

    • Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez, Luc Van Gool
    Pages 140-148

  19. 3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

    • Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng
    Pages 149-157

  20. Deep Neural Networks for Fast Segmentation of 3D Medical Images

    • Karl Fritscher, Patrik Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert
    Pages 158-165
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Other volumes

  1. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

  2. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

  3. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016

  4. Computational Diffusion MRI

Keywords

About this book

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation;  shape modeling; cardiac and vascular image analysis; image reconstruction; and MR imageanalysis.

Editors and Affiliations

  • University College London , London, United Kingdom

    Sebastien Ourselin

  • The Hebrew University of Jerusalem , Jerusalem, Israel

    Leo Joskowicz

  • Harvard Medical School , Boston, USA

    Mert R. Sabuncu

  • Istanbul Technical University , Istanbul, Turkey

    Gozde Unal

  • Harvard Medical School and Brigham and Women's Hospital, Boston, USA

    William Wells

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