946 citations
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10 papers · 1 filter
Deep learning cardiac motion analysis for human survival prediction
Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan +8
Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images. Optimising the interpretation of dynamic biological systems require…
Exact Channel Synthesis
Lei Yu, Vincent Y. F. Tan
We consider the exact channel synthesis problem. This problem concerns the determination of the minimum amount of information required to create exact correlation remotely when the…
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter
Petteri Teikari, Raymond P. Najjar, Leopold Schmetterer +1
Deep learning has recently gained high interest in ophthalmology, due to its ability to detect clinically significant features for diagnosis and prognosis. Despite these significan…
A Novel Approach To Assess Dynamic Treatment Regimes Embedded In A Smart With An Ordinal Outcome
Palash Ghosh, Xiaoxi Yan, Bibhas Chakraborty
Sequential multiple assignment randomized trials (SMARTs) are used to construct data-driven optimal intervention strategies for subjects based on their intervention and covariate h…
VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies
Xingjie Shi, Yuling Jiao, Yi Yang +4
In Genome-Wide Association Studies (GWAS) where multiple correlated traits have been measured on participants, a joint analysis strategy, whereby the traits are analyzed jointly, c…
Betas, Benchmarks and Beating the Market
Zura Kakushadze, Willie Yu
We give an explicit formulaic algorithm and source code for building long-only benchmark portfolios and then using these benchmarks in long-only market outperformance strategies. T…