%0 Conference Paper %1 conf/miccai/MacLeanAEZPGXKW21 %A MacLean, Alexander %A Abbasi, Saad %A Ebadi, Ashkan %A Zhao, Andy %A Pavlova, Maya %A Gunraj, Hayden %A Xi, Pengcheng %A Kohli, Sonny %A Wong, Alexander %B DART/FAIR@MICCAI %D 2021 %E Albarqouni, Shadi %E Cardoso, Manuel Jorge %E Dou, Qi %E Kamnitsas, Konstantinos %E Khanal, Bishesh %E Rekik, Islem %E Rieke, Nicola %E Sheet, Debdoot %E Tsaftaris, Sotirios A. %E Xu, Daguang %E Xu, Ziyue %I Springer %K dblp %P 191-202 %T COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging. %U http://dblp.uni-trier.de/db/conf/miccai/dart2021.html#MacLeanAEZPGXKW21 %V 12968 %@ 978-3-030-87722-4

@inproceedings{conf/miccai/MacLeanAEZPGXKW21, added-at = {2023-06-26T00:00:00.000+0200}, author = {MacLean, Alexander and Abbasi, Saad and Ebadi, Ashkan and Zhao, Andy and Pavlova, Maya and Gunraj, Hayden and Xi, Pengcheng and Kohli, Sonny and Wong, Alexander}, biburl = {https://www.bibsonomy.org/bibtex/242af0fa5c25e4dced72844db09241359/dblp}, booktitle = {DART/FAIR@MICCAI}, crossref = {conf/miccai/2021dart}, editor = {Albarqouni, Shadi and Cardoso, Manuel Jorge and Dou, Qi and Kamnitsas, Konstantinos and Khanal, Bishesh and Rekik, Islem and Rieke, Nicola and Sheet, Debdoot and Tsaftaris, Sotirios A. and Xu, Daguang and Xu, Ziyue}, ee = {https://doi.org/10.1007/978-3-030-87722-4_18}, interhash = {7378abcfe52b679d4c389b13e8d9dd64}, intrahash = {42af0fa5c25e4dced72844db09241359}, isbn = {978-3-030-87722-4}, keywords = {dblp}, pages = {191-202}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T22:24:57.000+0200}, title = {COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging.}, url = {http://dblp.uni-trier.de/db/conf/miccai/dart2021.html#MacLeanAEZPGXKW21}, volume = 12968, year = 2021 }