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20172024
most citedStatistical Methods in Computed Tomography Image Estimation

6 citations · 6 across the 7 of their papers we have counts for

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5 papers · 1 filter

stat.AP2024

Modeling Home Range and Intra-Specific Spatial Interaction in Wild Animal Populations

Fekadu L. Bayisa, Christopher L. Seals, Hannah J. Leeper +2

Interactions among individuals from the same-species of wild animals are an important component of population dynamics. An interaction can be either static (based on overlap of spa…

stat.AP2022

Spatial point process via regularisation modelling of ambulance call risk

Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén +1

This study investigates the spatial distribution of emergency alarm call events to identify spatial covariates associated with the events and discern hotspot regions for the events…

stat.AP2020

Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes

Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén +1

Although ambulance call data typically come in the form of spatio-temporal point patterns, point process-based modelling approaches presented in the literature are scarce. In this…

stat.AP2017

Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images

Kristi Kuljus, Fekadu L. Bayisa, David Bolin +2

There is an interest to replace computed tomography (CT) images with magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. In this article, predictin…

stat.AP2017

Model-based Computed Tomography Image Estimation: Partitioning Approach

Fekadu L. Bayisa, Jun Yu

There is a growing interest to get a fully MR based radiotherapy. The most important development needed is to obtain improved bone tissue estimation. The existing model-based metho…