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6 papers · 1 filter
Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network
Hua Ma, Pierre Ambrosini, Theo van Walsum
Automatic detection of contrast inflow in X-ray angiographic sequences can facilitate image guidance in computer-assisted cardiac interventions. In this paper, we propose two diffe…
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations
Gerda Bortsova, Florian Dubost, Laurens Hogeweg +2
The scarcity of labeled data often limits the application of supervised deep learning techniques for medical image segmentation. This has motivated the development of semi-supervis…
Parametric and non-parametric estimation of extreme earthquake event: the joint tail inference for mainshocks and aftershocks
Juan-Juan Cai, Phyllis Wan, Gamze Ozel
In an earthquake event, the combination of a strong mainshock and damaging aftershocks is often the cause of severe structural damages and/or high death tolls. The objective of thi…
Goodness-of-Fit Testing for Time Series Models via Distance Covariance
Phyllis Wan, Richard A. Davis
In many statistical modeling frameworks, goodness-of-fit tests are typically administered to the estimated residuals. In the time series setting, whiteness of the residuals is asse…
Preserve or retreat? Willingness-to-pay for Coastline Protection in New South Wales
Ali Ardeshiri, Joffre Swait, Elizabeth C. Heagney +1
Coastal erosion is a global and pervasive phenomenon that predicates a need for a strategic approach to the future management of coastal values and assets (both built and natural),…
Seasonality Effects on Consumers Preferences Over Quality Attributes of Different Beef Products
Ali Ardeshiri, Spring Sampson, Joffre Swait
Using discrete choice modelling, the study investigates 946 American consumers willingness-to-pay and preferences for diverse beef products. A novel experiment was used to elicit t…