Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Teo, James T"'
Autor:
Graham, Mark S., Pinaya, Walter Hugo Lopez, Wright, Paul, Tudosiu, Petru-Daniel, Mah, Yee H., Teo, James T., Jäger, H. Rolf, Werring, David, Nachev, Parashkev, Ourselin, Sebastien, Cardoso, M. Jorge
Methods for out-of-distribution (OOD) detection that scale to 3D data are crucial components of any real-world clinical deep learning system. Classic denoising diffusion probabilistic models (DDPMs) have been recently proposed as a robust way to perf
Externí odkaz:
http://arxiv.org/abs/2307.03777
Autor:
Kraljevic, Zeljko, Bean, Dan, Shek, Anthony, Bendayan, Rebecca, Hemingway, Harry, Yeung, Joshua Au, Deng, Alexander, Baston, Alfie, Ross, Jack, Idowu, Esther, Teo, James T, Dobson, Richard J
Background: Electronic Health Records hold detailed longitudinal information about each patient's health status and general clinical history, a large portion of which is stored within the unstructured text. Existing approaches focus mostly on structu
Externí odkaz:
http://arxiv.org/abs/2212.08072
Autor:
Pinaya, Walter H. L., Graham, Mark S., Gray, Robert, Da Costa, Pedro F, Tudosiu, Petru-Daniel, Wright, Paul, Mah, Yee H., MacKinnon, Andrew D., Teo, James T., Jager, Rolf, Werring, David, Rees, Geraint, Nachev, Parashkev, Ourselin, Sebastien, Cardoso, M. Jorge
Deep generative models have emerged as promising tools for detecting arbitrary anomalies in data, dispensing with the necessity for manual labelling. Recently, autoregressive transformers have achieved state-of-the-art performance for anomaly detecti
Externí odkaz:
http://arxiv.org/abs/2206.03461
Autor:
Kraljevic, Zeljko, Bean, Dan, Shek, Anthony, Bendayan, Rebecca, Hemingway, Harry, Yeung, Joshua Au, Deng, Alexander, Balston, Alfred, Ross, Jack, Idowu, Esther, Teo, James T †, Dobson, Richard J B †, *
Publikováno v:
In The Lancet Digital Health April 2024 6(4):e281-e290
Autor:
Ibrahim, Zina M, Bean, Daniel, Searle, Thomas, Wu, Honghan, Shek, Anthony, Kraljevic, Zeljko, Galloway, James, Norton, Sam, Teo, James T, Dobson, Richard JB
The ability to perform accurate prognosis of patients is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome prediction models suffer from a low recall of infrequent positive outcomes.
Externí odkaz:
http://arxiv.org/abs/2011.09361
Autor:
Kraljevic, Zeljko, Searle, Thomas, Shek, Anthony, Roguski, Lukasz, Noor, Kawsar, Bean, Daniel, Mascio, Aurelie, Zhu, Leilei, Folarin, Amos A, Roberts, Angus, Bendayan, Rebecca, Richardson, Mark P, Stewart, Robert, Shah, Anoop D, Wong, Wai Keong, Ibrahim, Zina, Teo, James T, Dobson, Richard JB
Electronic health records (EHR) contain large volumes of unstructured text, requiring the application of Information Extraction (IE) technologies to enable clinical analysis. We present the open-source Medical Concept Annotation Toolkit (MedCAT) that
Externí odkaz:
http://arxiv.org/abs/2010.01165
Autor:
Graham, Mark S., Tudosiu, Petru-Daniel, Wright, Paul, Pinaya, Walter Hugo Lopez, Teikari, Petteri, Patel, Ashay, U-King-Im, Jean-Marie, Mah, Yee H., Teo, James T., Jäger, Hans Rolf, Werring, David, Rees, Geraint, Nachev, Parashkev, Ourselin, Sebastien, Cardoso, M. Jorge
Publikováno v:
In Medical Image Analysis December 2023 90
Autor:
Zhang, Joe *, Morley, Jess, Gallifant, Jack, Oddy, Chris, Teo, James T, Ashrafian, Hutan, Delaney, Brendan, Darzi, Ara
Publikováno v:
In The Lancet Digital Health October 2023 5(10):e737-e748
Autor:
Farran, Dina, Bean, Daniel, Wang, Tao, Msosa, Yamiko, Casetta, Cecilia, Dobson, Richard, Teo, James T., Scott, Paul, Gaughran, Fiona
Publikováno v:
In Journal of Psychiatric Research September 2022 153:167-173
Autor:
Au Yeung, Joshua, Shek, Anthony, Searle, Thomas, Kraljevic, Zeljko, Dinu, Vlad, Ratas, Mart, Al-Agil, Mohammad, Foy, Aleksandra, Rafferty, Barbara, Oliynyk, Vitaliy, Teo, James T.
Publikováno v:
BMC Medical Informatics & Decision Making; 11/26/2024, Vol. 24 Issue 1, p1-10, 10p