Results 71 to 80 of about 5,306,172 (254)
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang +5 more
wiley +1 more source
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
, 2018 Method. In the experiment, 53 participants were interviewed. Truth tellers (n = 27) discussed a trip they had made during the last twelve months; liars (n = 26) fabricated a story about such a trip.
A. Vrij, Sharon Leal, L. Jupe, A. Harvey
semanticscholar +1 more source
Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert centers, further complicates diagnosis.
Arttu Ruohola +5 more
wiley +1 more source
Detecting Cohomology for Lie Superalgebras [PDF]
arXiv, 2010 In this paper we use invariant theory to develop the notion of cohomological detection for Type I classical Lie superalgebras. In particular we show that the cohomology with coefficients in an arbitrary module can be detected on smaller subalgebras. These results are used later to affirmatively answer questions, which were originally posed in \cite ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen +3 more
wiley +1 more source
Chern-Weil theory for certain infinite-dimensional Lie groups [PDF]
arXiv, 2013 Chern-Weil and Chern-Simons theory extend to certain infinite-rank bundles that appear in mathematical physics. We discuss what is known of the invariant theory of the corresponding infinite-dimensional Lie groups. We use these techniques to detect cohomology classes for spaces of maps between manifolds and for diffeomorphism groups of manifolds.
arxiv
A method for measuring spatial resolution based on clinical chest CT sequence images
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu +3 more
wiley +1 more source
Indirect and Unconscious Deception Detection: Too Soon to Give Up?
Frontiers in Psychology, 2021 Siegfried Ludwig Sporer +1 more
doaj +1 more source
Polygon Recognition and Symmetry Detection [PDF]
arXiv, 2000 We introduce an approach based on moving frames for polygon recognition and symmetry detection. We present detailed algorithms for recognition of polygons modulo the special Euclidean, Euclidean, equi-affine, skewed-affine and similarity Lie groups, and explain the procedure for a generic Lie group.
arxiv