output
20022026
most citedA Deep Learning Framework for Unsupervised Affine and Deformable Image Registration

843 citations

Showing 2017Show all

8 papers · 1 filter

stat.ME2017★ 6 cited

Gaining power in multiple testing of interval hypotheses via conditionalization

Jules L. Ellis, Jakub Pecanka, Jelle Goeman

In this paper we introduce a novel procedure for improving multiple testing procedures (MTPs) under scenarios when the null hypothesis -values tend to be stochastically larger t…

stat.CO2017★ 18 cited

A shortcut for Hommel's procedure in linearithmic time

Rosa Meijer, Thijmen Krebs, Aldo Solari +1

Hommel's and Hochberg's procedures for familywise error control are both derived as shortcuts in a closed testing procedure with the Simes local test. Hommel's shortcut is exact bu…

cs.CV2017★ 14 cited

Accelerating CS in Parallel Imaging Reconstructions Using an Efficient and Effective Circulant Preconditioner

Kirsten Koolstra, Jeroen van Gemert, Peter Börnert +2

Purpose: Design of a preconditioner for fast and efficient parallel imaging and compressed sensing reconstructions. Theory: Parallel imaging and compressed sensing reconstructions…

q-bio.NC2017★ 97 cited

Blood-based metabolic signatures in Alzheimer's disease

Francisca A. de Leeuw, Carel F. W. Peeters, Maartje I. Kester +11

Introduction: Identification of blood-based metabolic changes might provide early and easy-to-obtain biomarkers. Methods: We included 127 AD patients and 121 controls with CSF-biom…

q-bio.NC2017★ 17 cited

Uncovering functional brain signature via random matrix theory

Assaf Almog, Ori Roethler, Renate Buijink +4

The brain is organized in a modular way, serving multiple functionalities. This multiplicity requires that both positive (e.g. excitatory, phase-coherent) and negative (e.g. inhibi…

stat.ME2017★ 18 cited

Probabilistic partial least squares model: Identifiability, estimation and application

Said el Bouhaddani, Hae-Won Uh, Caroline Hayward +2

With a rapid increase in volume and complexity of data sets, there is a need for methods that can extract useful information, for example the relationship between two data sets mea…