Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019.

The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: optical imaging; endoscopy; microscopy.

Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression.

Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging.

Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis.

Part V: computer assisted interventions; MIC meets CAI.

Part VI: computed tomography; X-ray imaging.

• artificial intelligence
• computed tomography
• computer aided diagnosis
• computer assisted interventions
• image processing
• image reconstruction
• image segmentation
• imaging systems
• learning algorithms
• machine learning
• medical images
• neural networks
• neuroimage reconstruction
• neuroimage segmentation
• optical imaging
• segmentation methods
• support vector machines
• SVM
• x-ray imaging

• University of North Carolina at Chapel Hill, Chapel Hill, USA

  Dinggang Shen, Pew-Thian Yap

• University of Georgia, Athens, USA

  Tianming Liu

• Western University, London, Canada

  Terry M. Peters, Ali Khan

• Yale University, New Haven, USA

  Lawrence H. Staib

• University of Strasbourg, Illkirch, France

  Caroline Essert

• United Imaging Intelligence, Shanghai, China

  Sean Zhou

Policies and ethics