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pro vyhledávání: '"David Hagerman"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract We propose a deep multi-stream model for left ventricular ejection fraction (LVEF) prediction in 2D echocardiographic (2DE) examinations. We use four standard 2DE views as model input, which are automatically selected from the full 2DE exami
Externí odkaz:
https://doaj.org/article/bca9efc11d604ba596744980f499767a
Autor:
Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson
Masked autoencoding has become a successful pretraining paradigm for Transformer models for text, images, and, recently, point clouds. Raw automotive datasets are suitable candidates for self-supervised pre-training as they generally are cheap to col
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13717a8b9a9e8608252cec966f29df5a
Autor:
Eva Hagberg, David Hagerman, Richard Johansson, Nasser Hosseini, Jan Liu, Elin Björnsson, Jennifer Alvén, Ola Hjelmgren
Publikováno v:
Computers in Biology and Medicine. 143:105282
We created a deep learning model, trained on text classified by natural language processing (NLP), to assess right ventricular (RV) size and function from echocardiographic images. We included 12,684 examinations with corresponding written reports fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb733cacf209f2ee7ad5f62568e9133
https://doi.org/10.1016/j.compbiomed.2022.105282
https://doi.org/10.1016/j.compbiomed.2022.105282