Results 81 to 90 of about 5,579,561 (370)
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Quantify the impact of additional imaging doses on clinical dose constraints during lung stereotactic body radiotherapy (SBRT) treatment utilizing stereoscopic/monoscopic real‐time tumor monitoring. Materials and Methods Thirty lung SBRT patients treated with the volumetric arc therapy technique were randomly selected from the ...
Ruwan Abeywardhana, Mike Sattarivand
wiley +1 more source
Random hyperplane search trees in high dimensions
Journal of Computational Geometry, 2015 Given a set S of n ≥ d points in general position in Rd, a random hyperplane split is obtained by sampling d points uniformly at random without replacement from S and splitting based on their affine hull. A random hyperplane search tree is a binary space
Luc Devroye, James King
doaj +1 more source
Label-based parameters in increasing trees [PDF]
Discrete Mathematics & Theoretical Computer Science, 2006 Grown simple families of increasing trees are a subclass of increasing trees, which can be constructed by an insertion process. Three such tree families contained in the grown simple families of increasing trees are of particular interest: $\textit ...
Markus Kuba, Alois Panholzer
doaj +1 more source
Applied SciencesThe degradation of pastures and meadows is a global problem with a wide range of impacts. It affects farmers in different ways, such as decreases in cattle production, milk yield, and forage quality. Still, it also has other side effects, such as loss of
Boris Evstatiev +12 more
doaj +1 more source
Discrete Mathematics, 1983 AbstractWe show that for every ε > 0 almost every graph G ϵ G(n, p) is such that if (1+ϵ)log nlog d ≤r≤(2−ϵ)log nlog d where d = 1q, then G contains a maximal induced tree of order r.
Paul Erdös, Zbigniew Palka
openaire +2 more sources
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source
Random trees have height $O(\sqrt{n})$ [PDF]
arXiv, 2022 We obtain new non-asymptotic tail bounds for the height of uniformly random trees with a given degree sequence, simply generated trees and conditioned Bienaym\'e trees (the family trees of branching processes), in the process settling three conjectures of Janson (2012) and answering several other questions from the literature.
arxiv
Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith +8 more
wiley +1 more source
Probabilistic enumeration and equivalence of nonisomorphic trees [PDF]
arXiv, 2023 We present a new probabilistic proof of Otter's asymptotic formula for the number of unlabelled trees with a given number of vertices. We additionally prove a new approximation result, showing that the total variation distance between random P\'olya trees and random unlabelled trees tends to zero when the number of vertices tends to infinity.
arxiv