Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Anthony Bourached"'
Publikováno v:
Applied AI Letters, Vol 3, Iss 2, Pp n/a-n/a (2022)
Abstract The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out‐of‐distribution (OoD). Here, we formulate a new OoD benchmar
Externí odkaz:
https://doaj.org/article/b318a79b6936468fa49566a967dc17a1
Autor:
Anna K Bonkhoff, Alexander Cohen, William Drew, Michael A Ferguson, Christopher Lin, Frederic Schaper, Anthony Bourached, Martin Bretzner, Sungmin Hong, Robert W Regenhardt, Markus D Schirmer, Ona Wu, Christina Jern, Arne G Lindgren, Jane Maguire, Michael Fox, Natalia S Rost
Publikováno v:
Stroke. 54
Introduction: Predicting individual outcomes post-stroke with the highest possible accuracy is a crucial steppingstone in the realization of precision medicine. We here evaluated various types of lesion information in their capacity to predict stroke
Autor:
Anthony Bourached, Anna K. Bonkhoff, Markus D. Schirmer, Robert W. Regenhardt, Martin Bretzner, Sungmin Hong, Adrian V. Dalca, Anne-Katrin Giese, Stefan Winzeck, Christina Jern, Arne G. Lindgren, Jane Maguire, Ona Wu, John Rhee, Eyal Y. Kimchi, Natalia S. Rost
IntroductionDeep learning has allowed for remarkable progress in many medical scenarios. Since deep learning prediction models often require 105-107examples, it is currently unknown whether deep learning can also enhance predictions of symptoms post-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b88982f23d5aef1f358ef0cefe9ef820
https://doi.org/10.1101/2022.12.05.22283102
https://doi.org/10.1101/2022.12.05.22283102
Autor:
Ryan-Rhys Griffiths, Jake L. Greenfield, Aditya R. Thawani, Arian R. Jamasb, Henry B. Moss, Anthony Bourached, Penelope Jones, William McCorkindale, Alexander A. Aldrick, Matthew J. Fuchter, Alpha A. Lee
Publikováno v:
Chemical science. 13(45)
Photoswitchable molecules display two or more isomeric forms that may be accessed using light. Separating the electronic absorption bands of these isomers is key to selectively addressing a specific isomer and achieving high photostationary states wh
We present a novel bi-modal system based on deep networks to address the problem of learning associations and simple meanings of objects depicted in "authored" images, such as fine art paintings and drawings. Our overall system processes both the ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11d2bd0de19266cdd69300d7ad705f04
Autor:
S. Komossa, Luigi C. Gallo, Dan R. Wilkins, Alpha A. Lee, George Cann, W. N. Alston, Erin Kara, D. J. K. Buisson, Anthony Bourached, Ryan-Rhys Griffiths, Dirk Grupe, Adam Ingram, Michael Parker, Andrew J. Young, Jiachen Jiang
The optical and UV variability of the majority of AGN may be related to the reprocessing of rapidly-changing X-ray emission from a more compact region near the central black hole. Such a reprocessing model would be characterised by lags between X-ray
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9443273e8885581418010b2f89b725e9
Publikováno v:
Applied AI letters. 3(2)
The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out-of-distribution (OoD). Here, we formulate a new OoD benchmark based on th
We describe the application of convolutional neural network style transfer to the problem of improved visualization of underdrawings and ghost-paintings in fine art oil paintings. Such underdrawings and hidden paintings are typically revealed by x-ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4223afda86a753b3c85835fdd1ec714d
Autor:
Alpha A. Lee, Arian R. Jamasb, Penelope J. Jones, Anthony Bourached, William McCorkindale, Alexander A. Aldrick, Ryan-Rhys Griffiths, Aditya R. Thawani
The space of synthesizable molecules is greater than $10^{60}$, meaning only a vanishingly small fraction of these molecules have ever been realized in the lab. In order to prioritize which regions of this space to explore next, synthetic chemists ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cbf81a71ef7415800914210fde99299
https://doi.org/10.26434/chemrxiv.12609899
https://doi.org/10.26434/chemrxiv.12609899
Publikováno v:
Electronic Imaging. 33:17-1
We apply generative adversarial convolutional neural networks to the problem of style transfer to underdrawings and ghost-images in x-rays of fine art paintings with a special focus on enhancing their spatial resolution. We build upon a neural archit