|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Color Cherenkov imaging of clinical radiation therapy显示文摘Color vision is used throughout medicine to interpret the health and status of tissue.Ionizing radiation used in radiation therapy produces broadband white light inside tissue through the Cherenkov effect,and this light is attenuated by tissue features as it leaves the body.In this study,a novel time-gated three-channel camera was developed for the first time and was used to image color Cherenkov emission coming from patients during treatment.The spectral content was interpreted by comparison with imaging calibrated tissue phantoms.Color shades of Cherenkov emission in radiotherapy can be used to interpret tissue blood volume,oxygen saturation and major vessels within the body. | Daniel A.Alexander Anthony Nomezine Lesley A.Jarvis David J.Gladstone Brian W.Pogue Petr Bruza | 2021 | Light(Science & Applications)2021，10，12： | 1 |
| 2 | Very High Resolution Interpolated Climate Surfaces for Global Land Areas显示文摘 | Hijmans R.J S.E.Cameron J.L.Parra P.G.Jones and A.Jarvis | | 0，，： | 1 |
| 3 | Very High Resolution Interpolated Climate Surfaces for Global Land Areas显示文摘 | Hijmans R.J S.E.Cameronj L.Parra P.G.Jones A.Jarvis | | 0，，： | 1 |
| 4 | A Methodology for Analyzing Complex Military Command and Control(C2) Networks显示文摘 | David A.Jarvis | | 0，，16： | 1 |
| 5 | Road distance and travel time for an improved house price Kriging predictor显示文摘The paper designs an automated valuation model to predict the price of residential property in Coventry,United Kingdom,and achieves this by means of geostatistical Kriging,a popularly employed distance-based learning method.Unlike traditional applications of distance-based learning,this papers implements non-Euclidean distance metrics by approximating road distance,travel time and a linear combination of both,which this paper hypothesizes to be more related to house prices than straight-line(Euclidean)distance.Given that–to undertake Kriging–a valid variogram must be produced,this paper exploits the conforming properties of the Minkowski distance function to approximate a road distance and travel time metric.A least squares approach is put forth for variogram parameter selection and an ordinary Kriging predictor is implemented for interpolation.The predictor is then validated with 10-fold crossvalidation and a spatially aware checkerboard hold out method against the almost exclusively employed,Euclidean metric.Given a comparison of results for each distance metric,this paper witnesses a goodness of fit(r2)result of 0.6901±0.18 SD for real estate price prediction compared to the traditional(Euclidean)approach obtaining a suboptimal r2 value of 0.66±0.21 SD. | Henry Crosby Theo Damoulas Alex Caton Paul Davis João Porto de Albuquerque Stephen A.Jarvis | 2018 | Geo-Spatial Information Science2018，21，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员