Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Natasha Antropova"'
Autor:
Demis Hassabis, Alan Karthikesalingam, Kenneth C. Young, Fiona J. Gilbert, Jonathan Godwin, Jeffrey De Fauw, Mark D. Halling-Brown, David S. Melnick, Daniel Tse, Mustafa Suleyman, Richard Sidebottom, Joshua J. Reicher, Marcin Sieniek, Hutan Ashrafian, Lily Peng, Sunny Jansen, Mary Chesus, Natasha Antropova, Dominic King, Hormuz Mostofi, Scott Mayer McKinney, Florencia Garcia-Vicente, Bernardino Romera-Paredes, Shravya Shetty, Varun Godbole, Christopher Kelly, Mozziyar Etemadi, Trevor Back, Greg C. Corrado, Ara Darzi, Joseph R. Ledsam
Publikováno v:
Nature. 577:89-94
Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatment can be more successful1. Despite the existence of screening programmes worldwide, the interpretation of mammograms is affected by high rates of fals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d618bedb3c401010768379f6db9e7e6
https://doi.org/10.1038/s41586-019-1799-6
https://doi.org/10.1038/s41586-019-1799-6
Autor:
Sam Blackwell, Andrew W. Senior, Pushmeet Kohli, Andrew Cowie, Kathryn Tunyasuvunakool, Michal Zielinski, John M. Jumper, Anna Potapenko, Russell Bates, Augustin Žídek, Tim Green, R. D. Jain, Olaf Ronneberger, Sebastian Bodenstein, Richard Evans, Michael J. O'Neill, Ellen Clancy, Jason Yim, Alexander Pritzel, Natasha Antropova, Demis Hassabis, Alex Bridgland
While the vast majority of well-structured single protein chains can now be predicted to high accuracy due to the recent AlphaFold [1] model, the prediction of multi-chain protein complexes remains a challenge in many cases. In this work, we demonstr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::173d0a046880041a9ef0fe19e68506d0
https://doi.org/10.1101/2021.10.04.463034
https://doi.org/10.1101/2021.10.04.463034
Autor:
Greg S. Corrado, Natasha Antropova, Varun Godbole, Bernardino Romera-Paredes, Fiona J. Gilbert, Scott Mayer McKinney, Christopher Kelly, Trevor Back, Jeffrey De Fauw, Richard Sidebottom, Shravya Shetty, Joseph R. Ledsam, Kenneth C. Young, Mozziyar Etemadi, Jonathan Godwin, Sunny Jansen, Lily Peng, Alan Karthikesalingam, Hormuz Mostofi, Joshua J. Reicher, Ara Darzi, Florencia Garcia-Vicente, Dominic King, Hutan Ashrafian, Marcin Sieniek, Mary Chesus, Mark D. Halling-Brown, Daniel Tse, Mustafa Suleyman, Demis Hassabis, David S. Melnick
Publikováno v:
Nature. 586:E19-E19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a020aacfb591c5acd9b5dbc4bf157639
https://doi.org/10.1038/s41586-020-2679-9
https://doi.org/10.1038/s41586-020-2679-9
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays a significant role in breast cancer screening, cancer staging, and monitoring response to therapy. Recently, deep learning methods are being rapidly incorporated in image-based brea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f15dbbdb3233abc1992f4063bbf9e11f
https://doi.org/10.1117/12.2293265
https://doi.org/10.1117/12.2293265
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Intuitive segmentation-based CADx/radiomic features, calculated from the lesion segmentations of dynamic contrast-enhanced magnetic resonance images (DCE-MRIs) have been utilized in the task of distinguishing between malignant and benign lesions. Add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25de36022d76b8399cf16e0803720423
https://doi.org/10.1117/12.2255582
https://doi.org/10.1117/12.2255582
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
DCE-MRI datasets have a temporal aspect to them, resulting in multiple regions of interest (ROIs) per subject, based on contrast time points. It is unclear how the different contrast time points vary in terms of usefulness for computer-aided diagnosi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aff86216d9b2ce15baa779374c72886d
https://doi.org/10.1117/12.2255316
https://doi.org/10.1117/12.2255316
Autor:
Hachache, Rachida1 (AUTHOR) rachida.hachache@usmba.ac.ma, Yahyaouy, Ali1,2 (AUTHOR), Riffi, Jamal1 (AUTHOR), Tairi, Hamid1 (AUTHOR), Abibou, Soukayna1 (AUTHOR), Adoui, Mohammed El3 (AUTHOR), Benjelloun, Mohammed3 (AUTHOR)
Publikováno v:
BMC Cancer. 10/23/2024, Vol. 24 Issue 1, p1-20. 20p.
Autor:
Ming-Zhi Deng, Qingyun Liu, Shu-Jun Cui, Yi-Xin Wang, Guoliang Zhu, Han Fu, Mingyu Gan, Yuan-Yuan Xu, Xia Cai, Sheng Wang, Wei Sha, Guo-Ping Zhao, Fortune, Sarah M., Liang-Dong Lyu
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 8/20/2024, Vol. 121 Issue 34, p1-11, 39p
Publikováno v:
Ergonomics; Nov2023, Vol. 66 Issue 11, p1669-1694, 26p
Publikováno v:
ACM Transactions on Computer-Human Interaction (TOCHI); Feb2023, Vol. 30 Issue 1, p1-36, 36p