Results 11 to 20 of about 130,317 (268)
Splines for diffeomorphisms [PDF]
Medical Image Analysis, 2015 This paper develops a method for higher order parametric regression on diffeomorphisms for image regression. We present a principled way to de ne curves with nonzero acceleration and nonzero jerk. This work extends methods based on geodesics which have been developed during the last decade for computational anatomy in the large deformation ...
Singh, Nikhil +2 more
openaire +3 more sources
Efficient algorithms for robust generalized cross-validation spline smoothing
, 2010 Generalized cross-validation (GCV) is a widely used parameter selection criterion for spline smoothing, but it can give poor results if the sample size n is not sufficiently large.
Anderssen, R.S. +5 more
core +1 more source
Spline- and tensor-based signal reconstruction : from structure analysis to high-performance algorithms to multiplatform implementations and medical applications [PDF]
, 2015 The problem of signal reconstruction is of fundamental practical value for many applications associated with the field of signal and image processing.
Morozov, Oleksii
core +1 more source
alisterburt/torch-cubic-spline-grids: v0.0.5
, 2023 <h2>What's Changed</h2> <ul> <li>add automated minibatching in forward call by @alisterburt in https://github.com/alisterburt/torch-cubic-spline-grids/pull/12</li> </ul> <p><strong>Full Changelog</strong&
alisterburt
core +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
alisterburt/torch-cubic-spline-grids: v0.0.8
, 2023 <h2>What's Changed</h2> <ul> <li>bugfix: ensure correct device output for interpolation data by @alisterburt in https://github.com/alisterburt/torch-cubic-spline-grids/pull/15</li> </ul> <p><strong>Full ...
alisterburt
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
The Use of Spline, Bayesian Spline and Penalized Bayesian Spline Regression for Modeling
Journal of Scientific Research and Reports, 2015 Aims: The aim of this study is modeled the ratios of export to imports data in Turkey by using nonparametric regression methods. Study Design: This was Spline, Bayesian Spline and Penalized Spline Regression modeling study. Place and Duration of Study: Turkish Statistical Institute.
Erdoğan, M Sami, Oruç, Özlem Ege
openaire +3 more sources
alisterburt/torch-cubic-spline-grids: v0.0.7
, 2023 <h2>What's Changed</h2> <ul> <li>bugfix: use the matrix which has been registered as a buffer by @alisterburt in https://github.com/alisterburt/torch-cubic-spline-grids/pull/14</li> </ul> <p><strong>Full ...
alisterburt
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon +11 more
wiley +1 more source