@article{946557,
      note = {International conference proceedings.},
      author = {Martel, Anne. and Abolmaesumi, Purang. and Stoyanov,  Danail. and Mateus, Diana. and Zuluaga, Maria A. and Zhou,  S. Kevin. and Racoceanu, Daniel. and Joskowicz, Leo.},
      url = {http://library.usi.edu/record/946557},
      title = {Medical image computing and computer assisted intervention  -- MICCAI 2020 : 23rd International Conference, Lima, Peru,  October 4-8, 2020, Proceedings., Part VI /. International  Conference on Medical Image Computing and Computer-Assisted  Intervention},
      publisher = {Springer,},
      abstract = {The seven-volume set LNCS 12261, 12262, 12263, 12264,  12265, 12266, and 12267 constitutes the refereed  proceedings of the 23rd International Conference on Medical  Image Computing and Computer-Assisted Intervention, MICCAI  2020, held in Lima, Peru, in October 2020. The conference  was held virtually due to the COVID-19 pandemic. The 542  revised full papers presented were carefully reviewed and  selected from 1809 submissions in a double-blind review  process. The papers are organized in the following topical  sections: Part I: Machine learning methodologies Part II:  Image reconstruction; prediction and diagnosis;  cross-domain methods and reconstruction; domain adaptation;  machine learning applications; generative adversarial  networks Part III: CAI applications; image registration;  instrumentation and surgical phase detection; navigation  and visualization; ultrasound imaging; video image analysis  Part IV: Segmentation; shape models and landmark detection  Part V: Biological, optical, microscopic imaging; cell  segmentation and stain normalization; histopathology image  analysis; opthalmology Part VI: Angiography and vessel  analysis; breast imaging; colonoscopy; dermatology; fetal  imaging; heart and lung imaging; musculoskeletal imaging  Part VII: Brain development and atlases; DWI and  tractography; functional brain networks; neuroimaging;  positron emission tomography.},
      doi = {https://doi.org/10.1007/978-3-030-59725-2},
      recid = {946557},
      pages = {1 online resource (847 p.).},
      address = {Cham :},
      year = {2020},
}