@inproceedings{DBLP:conf/wacv/LaradjiRMLLKP0N21,
  author       = {Issam H. Laradji and
                  Pau Rodr{\'{\i}}guez and
                  Oscar Ma{\~{n}}as and
                  Keegan Lensink and
                  Marco Law and
                  Lironne Kurzman and
                  William Parker and
                  David V{\'{a}}zquez and
                  Derek Nowrouzezahrai},
  title        = {A Weakly Supervised Consistency-based Learning Method for {COVID-19}
                  Segmentation in {CT} Images},
  booktitle    = {{IEEE} Winter Conference on Applications of Computer Vision, {WACV}
                  2021, Waikoloa, HI, USA, January 3-8, 2021},
  pages        = {2452--2461},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/WACV48630.2021.00250},
  doi          = {10.1109/WACV48630.2021.00250},
  timestamp    = {Wed, 07 Dec 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/wacv/LaradjiRMLLKP0N21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

{"_id":"8z2xWEQtxLZJXLghF","bibbaseid":"laradji-rodrguez-maas-lensink-law-kurzman-parker-vzquez-etal-aweaklysupervisedconsistencybasedlearningmethodforcovid19segmentationinctimages-2021","author_short":["Laradji, I. H.","Rodríguez, P.","Mañas, O.","Lensink, K.","Law, M.","Kurzman, L.","Parker, W.","Vázquez, D.","Nowrouzezahrai, D."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Issam","H."],"propositions":[],"lastnames":["Laradji"],"suffixes":[]},{"firstnames":["Pau"],"propositions":[],"lastnames":["Rodríguez"],"suffixes":[]},{"firstnames":["Oscar"],"propositions":[],"lastnames":["Mañas"],"suffixes":[]},{"firstnames":["Keegan"],"propositions":[],"lastnames":["Lensink"],"suffixes":[]},{"firstnames":["Marco"],"propositions":[],"lastnames":["Law"],"suffixes":[]},{"firstnames":["Lironne"],"propositions":[],"lastnames":["Kurzman"],"suffixes":[]},{"firstnames":["William"],"propositions":[],"lastnames":["Parker"],"suffixes":[]},{"firstnames":["David"],"propositions":[],"lastnames":["Vázquez"],"suffixes":[]},{"firstnames":["Derek"],"propositions":[],"lastnames":["Nowrouzezahrai"],"suffixes":[]}],"title":"A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images","booktitle":"IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Waikoloa, HI, USA, January 3-8, 2021","pages":"2452–2461","publisher":"IEEE","year":"2021","url":"https://doi.org/10.1109/WACV48630.2021.00250","doi":"10.1109/WACV48630.2021.00250","timestamp":"Wed, 07 Dec 2022 00:00:00 +0100","biburl":"https://dblp.org/rec/conf/wacv/LaradjiRMLLKP0N21.bib","bibsource":"dblp computer science bibliography, https://dblp.org","bibtex":"@inproceedings{DBLP:conf/wacv/LaradjiRMLLKP0N21,\n author = {Issam H. Laradji and\n Pau Rodr{\\'{\\i}}guez and\n Oscar Ma{\\~{n}}as and\n Keegan Lensink and\n Marco Law and\n Lironne Kurzman and\n William Parker and\n David V{\\'{a}}zquez and\n Derek Nowrouzezahrai},\n title = {A Weakly Supervised Consistency-based Learning Method for {COVID-19}\n Segmentation in {CT} Images},\n booktitle = {{IEEE} Winter Conference on Applications of Computer Vision, {WACV}\n 2021, Waikoloa, HI, USA, January 3-8, 2021},\n pages = {2452--2461},\n publisher = {{IEEE}},\n year = {2021},\n url = {https://doi.org/10.1109/WACV48630.2021.00250},\n doi = {10.1109/WACV48630.2021.00250},\n timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},\n biburl = {https://dblp.org/rec/conf/wacv/LaradjiRMLLKP0N21.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n","author_short":["Laradji, I. H.","Rodríguez, P.","Mañas, O.","Lensink, K.","Law, M.","Kurzman, L.","Parker, W.","Vázquez, D.","Nowrouzezahrai, D."],"key":"DBLP:conf/wacv/LaradjiRMLLKP0N21","id":"DBLP:conf/wacv/LaradjiRMLLKP0N21","bibbaseid":"laradji-rodrguez-maas-lensink-law-kurzman-parker-vzquez-etal-aweaklysupervisedconsistencybasedlearningmethodforcovid19segmentationinctimages-2021","role":"author","urls":{"Paper":"https://doi.org/10.1109/WACV48630.2021.00250"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://dblp.org/pid/30/4225.bib","dataSources":["6SeDWrH8eZcL7m8iW"],"keywords":[],"search_terms":["weakly","supervised","consistency","based","learning","method","covid","segmentation","images","laradji","rodríguez","mañas","lensink","law","kurzman","parker","vázquez","nowrouzezahrai"],"title":"A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images","year":2021}