Medical Image Computing and Computer Assisted Intervention − MICCAI 2017

20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I

  • Maxime Descoteaux
  • Lena Maier-Hein
  • Alfred Franz
  • Pierre Jannin
  • D. Louis Collins
  • Simon Duchesne
Conference proceedings MICCAI 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10433)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10433)

Table of contents

  1. Front Matter
    Pages I-XLVI
  2. Atlas and Surface-Based Techniques

    1. Front Matter
      Pages 1-1
    2. Yuncong Chen, Lauren McElvain, Alex Tolpygo, Daniel Ferrante, Harvey Karten, Partha Mitra et al.
      Pages 3-11
    3. Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore et al.
      Pages 12-20
    4. Ilwoo Lyu, Sun Hyung Kim, Jessica Bullins, John H. Gilmore, Martin A. Styner
      Pages 31-39
    5. Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen
      Pages 49-56
    6. Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen
      Pages 57-65
    7. Gang Li, Li Wang, Weili Lin, Dinggang Shen
      Pages 66-74
    8. Avantika Vardhan, James Fishbaugh, Clement Vachet, Guido Gerig
      Pages 75-83
    9. Colin J. Brown, Kathleen P. Moriarty, Steven P. Miller, Brian G. Booth, Jill G. Zwicker, Ruth E. Grunau et al.
      Pages 84-91
    10. Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince
      Pages 92-99
    11. Niamul Quader, Antony J. Hodgson, Kishore Mulpuri, Anthony Cooper, Rafeef Abugharbieh
      Pages 100-107
    12. Hoileong Lee, Tahreema Matin, Fergus Gleeson, Vicente Grau
      Pages 108-115
    13. Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith et al.
      Pages 116-124
  3. Shape and Patch-Based Techniques

    1. Front Matter
      Pages 125-125
    2. Hongbo Wu, Chris Bailey, Parham Rasoulinejad, Shuo Li
      Pages 127-135
    3. Jingting Ma, Anqi Wang, Feng Lin, Stefan Wesarg, Marius Erdt
      Pages 136-143
    4. C. Lindner, D. Waring, B. Thiruvenkatachari, K. O’Brien, T. F. Cootes
      Pages 144-151
    5. Fausto Milletari, Alex Rothberg, Jimmy Jia, Michal Sofka
      Pages 161-168
    6. Atsushi Saito, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada, Akinobu Shimizu
      Pages 169-176
    7. Fabian Rathke, Mattia Desana, Christoph Schnörr
      Pages 177-184
    8. Praful Agrawal, Ross T. Whitaker, Shireen Y. Elhabian
      Pages 185-193
    9. Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
      Pages 194-202
    10. H. Ravishankar, R. Venkataramani, S. Thiruvenkadam, P. Sudhakar, V. Vaidya
      Pages 203-211
    11. Hosung Kim, Yee-Leng Tan, Seunghyun Lee, Anthony James Barkovich, Duan Xu, Robert Knowlton
      Pages 212-220
  4. Registration Techniques

    1. Front Matter
      Pages 221-221
    2. Hristina Uzunova, Matthias Wilms, Heinz Handels, Jan Ehrhardt
      Pages 223-231
    3. Hessam Sokooti, Bob de Vos, Floris Berendsen, Boudewijn P. F. Lelieveldt, Ivana Išgum, Marius Staring
      Pages 232-239
    4. Kai Ma, Jiangping Wang, Vivek Singh, Birgi Tamersoy, Yao-Jen Chang, Andreas Wimmer et al.
      Pages 240-248
    5. Christoph Jud, Robin Sandkühler, Nadia Möri, Philippe C. Cattin
      Pages 249-256
    6. Olivier Commowick, Renaud Hédouin, Emmanuel Caruyer, Christian Barillot
      Pages 257-265
    7. Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec
      Pages 266-274
    8. Kwame S. Kutten, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Jordan Matelsky, Alexander D. Baden et al.
      Pages 275-282
    9. Yuru Pei, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu et al.
      Pages 283-290
    10. Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré
      Pages 291-299
    11. Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang et al.
      Pages 300-308
    12. Nishant Ravikumar, Ali Gooya, Alejandro F. Frangi, Zeike A. Taylor
      Pages 309-316
    13. Yi Hong, Polina Golland, Miaomiao Zhang
      Pages 317-325
    14. Bongjin Koo, Erol Özgür, Bertrand Le Roy, Emmanuel Buc, Adrien Bartoli
      Pages 326-334
    15. Gokhan Gunay, Sebastian van der Voort, Manh Ha Luu, Adriaan Moelker, Stefan Klein
      Pages 335-343
    16. Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao et al.
      Pages 344-352
  5. Functional Imaging, Connectivity, and Brain Parcellation

    1. Front Matter
      Pages 363-363
    2. Jinglei Lv, Vinh Thai Nguyen, Johan van der Meer, Michael Breakspear, Christine Cong Guo
      Pages 382-389
    3. Seok-Jun Hong, Boris Bernhardt, Ravnoor Gill, Neda Bernasconi, Andrea Bernasconi
      Pages 390-397

Other volumes

  1. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
    20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I
  2. 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II
  3. 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III

About these proceedings


The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in
Quebec City, Canada, in September 2017.

The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature
extraction and classification techniques; and machine learning in medical image computing.


artificial intelligence computer vision estimation face recognition image analysis image processing image quality image reconstruction image registration image segmentation learning algorithms machine learning medical images motion estimation neural networks probability reconstruction segmentation methods signal processing Support Vector Machines (SVM)

Editors and affiliations

  1. 1.Université de SherbrookeSherbrookeCanada
  2. 2.DKFZHeidelbergGermany
  3. 3.Ulm University of Applied SciencesUlmGermany
  4. 4.Université de Rennes 1RennesFrance
  5. 5.McGill UniversityMontrealCanada
  6. 6.Université LavalQuébecCanada

Bibliographic information

Industry Sectors
Materials & Steel
Chemical Manufacturing
Health & Hospitals
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences