@inproceedings{
 title = {A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images},
 type = {inproceedings},
 year = {2017},
 pages = {844-848},
 publisher = {IEEE},
 id = {9a87a368-7180-3419-b806-efb88f1e353a},
 created = {2024-01-13T08:14:14.108Z},
 file_attached = {true},
 profile_id = {d5b9f595-4104-33d2-b640-e84dee1b7ded},
 last_modified = {2024-01-13T08:18:13.344Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
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 citation_key = {yang_fully_2017-3},
 source_type = {CONF},
 private_publication = {false},
 bibtype = {inproceedings},
 author = {Yang, Guang and Zhuang, Xiahai and Khan, Habib and Haldar, Shouvik and Nyktari, Eva and Ye, Xujiong and Slabaugh, Greg and Wong, Tom and Mohiaddin, Raad and Keegan, Jennifer and others, undefined},
 booktitle = {2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI)}
}

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