Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Irving, Benjamin"'
Autor:
Carr, Oliver, Jovanovic, Stojan, Albergante, Luca, Andreotti, Fernando, Dürichen, Robert, Lipunova, Nadia, Baxter, Janie, Khan, Rabia, Irving, Benjamin
Determining phenotypes of diseases can have considerable benefits for in-hospital patient care and to drug development. The structure of high dimensional data sets such as electronic health records are often represented through an embedding of the da
Externí odkaz:
http://arxiv.org/abs/2012.13233
Autor:
Andreotti, Fernando, Heldt, Frank S., Abu-Jamous, Basel, Li, Ming, Javer, Avelino, Carr, Oliver, Jovanovic, Stojan, Lipunova, Nadezda, Irving, Benjamin, Khan, Rabia T., Dürichen, Robert
In this work, we propose a multi-task recurrent neural network with attention mechanism for predicting cardiovascular events from electronic health records (EHRs) at different time horizons. The proposed approach is compared to a standard clinical ri
Externí odkaz:
http://arxiv.org/abs/2007.08491
Autor:
Beggs, Andrew D., Caiado, Camila C.S., Branigan, Mark, Lewis-Borman, Paul, Patel, Nishali, Fowler, Tom, Dijkstra, Anna, Chudzik, Piotr, Yousefi, Paria, Javer, Avelino, Van Meurs, Bram, Tarassenko, Lionel, Irving, Benjamin, Whalley, Celina, Lal, Neeraj, Robbins, Helen, Leung, Elaine, Lee, Lennard, Banathy, Robert
Publikováno v:
In Cell Reports Medicine 18 October 2022 3(10)
Autor:
Bates, Russell, Irving, Benjamin, Markelc, Bostjan, Kaeppler, Jakob, Muschel, Ruth, Grau, Vicente, Schnabel, Julia A.
Vasculature is known to be of key biological significance, especially in the study of cancer. As such, considerable effort has been focused on the automated measurement and analysis of vasculature in medical and pre-clinical images. In tumors in part
Externí odkaz:
http://arxiv.org/abs/1705.09597
Autor:
Irving, Benjamin
Supervoxel methods such as Simple Linear Iterative Clustering (SLIC) are an effective technique for partitioning an image or volume into locally similar regions, and are a common building block for the development of detection, segmentation and analy
Externí odkaz:
http://arxiv.org/abs/1606.09518
Autor:
Irving, Benjamin, Franklin, James M, Papiez, Bartlomiej W, Anderson, Ewan M, Sharma, Ricky A, Gleeson, Fergus V, Brady, Sir Michael, Schnabel, Julia A
Rectal tumour segmentation in dynamic contrast-enhanced MRI (DCE-MRI) is a challenging task, and an automated and consistent method would be highly desirable to improve the modelling and prediction of patient outcomes from tissue contrast enhancement
Externí odkaz:
http://arxiv.org/abs/1604.05210
Autor:
Irving, Benjamin
Includes abstract.
Includes bibliographical references (leaves 112-117).
This study describes dose measurements made for linear slit scanning radiography (LSSR) and a dose prediction model that was developed for LSSR. The measurement and ca
Includes bibliographical references (leaves 112-117).
This study describes dose measurements made for linear slit scanning radiography (LSSR) and a dose prediction model that was developed for LSSR. The measurement and ca
Externí odkaz:
http://hdl.handle.net/11427/3251
Autor:
Irving, Benjamin J., Goussard, Pierre, Andronikou, Savvas, Gie, Robert, Douglas, Tania S., Todd-Pokropek, Andrew, Taylor, Paul
Publikováno v:
In Medical Image Analysis October 2014 18(7):963-976
Akademický článek
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