{
  "id": "1907.08612",
  "version": "v1",
  "published": "2019-05-21T16:27:29.000Z",
  "updated": "2019-05-21T16:27:29.000Z",
  "title": "Medical Imaging with Deep Learning: MIDL 2019 -- Abstract Track",
  "authors": [
    "M. Jorge Cardoso",
    "Aasa Feragen",
    "Ben Glocker",
    "Ender Konukoglu",
    "Ipek Oguz",
    "Gozde Unal",
    "Tom Vercauteren"
  ],
  "comment": "Accepted abstracts can also be found on OpenReview.net https://openreview.net/group?id=MIDL.io/2019/Conference#abstract-accept-papers",
  "categories": [
    "eess.IV",
    "cs.CV",
    "cs.LG"
  ],
  "abstract": "This compendium gathers all the accepted abstracts from the Second International Conference on Medical Imaging with Deep Learning (MIDL 2019), held in London, UK, 8-10 July 2019. Note that only accepted abstracts are listed here, the Proceedings of the MIDL 2019 Full Paper Track are published as Volume 102 of the Proceedings of Machine Learning Research (PMLR) http://proceedings.mlr.press/v102/.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2019-05-21T16:27:29.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "deep learning",
      "abstract track",
      "medical imaging",
      "accepted abstracts",
      "full paper track"
    ],
    "tags": [
      "conference paper"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}