Ludovica Griffanti

Follow

Generating author description...

All published works
Action Title Year Authors
+ A comparison of lesion mapping analyses based on CT versus MR imaging in stroke 2023 Margaret Jane Moore
Mark Jenkinson
Ludovica Griffanti
Hanne Huygelier
CĂ©line R. Gillebert
Nele Demeyere
+ Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria 2023 Jelena BoĆŸek
Ludovica Griffanti
Stephan Lau
Mark Jenkinson
+ PDF Chat Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria 2022 Jelena BoĆŸek
Ludovica Griffanti
Stephan Lau
Mark Jenkinson
+ PDF Chat A comparison of lesion mapping analyses based on CT versus MR imaging in stroke 2022 Margaret Jane Moore
Mark Jenkinson
Ludovica Griffanti
Hanne Huygelier
CĂ©line R. Gillebert
Nele Demeyere
+ PDF Chat Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images 2021 Vaanathi Sundaresan
Ludovica Griffanti
Mark Jenkinson
+ PDF Chat Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging 2020 Melis AnatĂŒrk
Tobias Kaufmann
James H. Cole
Sana Suri
Ludovica Griffanti
EnikƑ Zsoldos
Nicola Filippini
Archana Singh‐Manoux
Mika KivimÀki
Lars T. Westlye
+ PDF Chat Prediction of brain age and cognitive age: quantifying brain and cognitive maintenance in aging 2020 Melis AnatĂŒrk
Tobias Kaufmann
James H. Cole
Sana Suri
Ludovica Griffanti
EnikƑ Zsoldos
Nicola Filippini
Archana Singh‐Manoux
Mika KivimÀki
Lars T. Westlye
+ Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference 2018 Vaanathi Sundaresan
Ludovica Griffanti
Petya Kindalova
Fidel Alfaro-Almagro
Giovanna Zamboni
Peter M. Rothwell
Thomas E. Nichols
Mark Jenkinson
+ PDF Chat Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference 2018 Vaanathi Sundaresan
Ludovica Griffanti
Petya Kindalova
Fidel Alfaro-Almagro
Giovanna Zamboni
Peter M. Rothwell
Thomas E. Nichols
Mark Jenkinson
+ PDF Chat Abnormal development of sensory-motor, visual temporal and parahippocampal cortex in children with learning disabilities and borderline intellectual functioning 2014 Francesca Baglio
Monia Cabinio
Cristian Ricci
Gisella Baglio
Susanna Lipari
Ludovica Griffanti
Maria Giulia Preti
Raffaello Nemni
Mario Clerici
Michela Zanette
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat The Simplex Gradient and Noisy Optimization Problems 1998 David M. Bortz
C. T. Kelley
2
+ PDF Chat Generalized Multilevel Functional Regression 2009 Ciprian M. Crainiceanu
Ana‐Maria Staicu
Chongzhi Di
2
+ Convergence Conditions for Ascent Methods 1969 Philip Wolfe
2
+ PDF Chat Space-varying regression models: specifications and simulation 2003 Dani Gamerman
Ajax Reynaldo Bello Moreira
HĂ„vard Rue
2
+ PDF Chat Gaussian Predictive Process Models for Large Spatial Data Sets 2008 Sudipto Banerjee
Alan E. Gelfand
Andrew O. Finley
Huiyan Sang
2
+ Functional Generalized Linear Models with Images as Predictors 2009 Philip T. Reiss
R. Todd Ogden
2
+ PDF Chat Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets 2008 Cari G. Kaufman
Mark J. Schervish
Douglas Nychka
2
+ Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis 2006 Robert A. Rigby
D. M. Stasinopoulos
2
+ Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing 1995 Yoav Benjamini
Yosef Hochberg
2
+ Permutation inference for the general linear model 2014 Anderson M. Winkler
Gerard R. Ridgway
Matthew Webster
Stephen M. Smith
Thomas E. Nichols
2
+ PDF Chat Generalized Additive Models for Location, Scale and Shape 2005 Robert A. Rigby
D. M. Stasinopoulos
2
+ PDF Chat The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models 2001 Craig K. Enders
Deborah L Bandalos
2
+ Correcting Two-Sample z and t Tests for Correlation: An Alternative to One-Sample Tests on Difference Scores 2012 Donald W. Zimmerman
2
+ Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies 2016 André F. Marquand
Iead Rezek
Jan K. Buitelaar
Christian F. Beckmann
2
+ PDF Chat <i>MplusAutomation</i>: An R Package for Facilitating Large-Scale Latent Variable Analyses in M<i>plus</i> 2018 Michael N. Hallquist
Joshua F. Wiley
2
+ PDF Chat Conceptualizing mental disorders as deviations from normative functioning 2019 André F. Marquand
Seyed Mostafa Kia
Mariam Zabihi
Thomas Wolfers
Jan K. Buitelaar
Christian F. Beckmann
2
+ Analysis of multiple sclerosis lesions via spatially varying coefficients 2014 Tian Ge
Nicole MĂŒller-Lenke
Kerstin Bendfeldt
Thomas E. Nichols
Timothy D. Johnson
2
+ PDF Chat Normative modeling of neuroimaging data using generalized additive models of location scale and shape 2021 Richard Dinga
Charlotte Fraza
Johanna Bayer
Seyed Mostafa Kia
Christian F. Beckmann
André F. Marquand
2
+ XGBoost 2016 Tianqi Chen
Carlos Guestrin
1
+ Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation 2016 Konstantinos Kamnitsas
Christian Ledig
Virginia Newcombe
Joanna Simpson
Andrew D. Kane
David Menon
Daniel Rueckert
Ben Glocker
1
+ PDF Chat Brain tumor segmentation with Deep Neural Networks 2016 Mohammad Havaei
Axel Davy
David Warde-Farley
Antoine Biard
Aaron Courville
Yoshua Bengio
Chris Pal
Pierre-Marc Jodoin
Hugo Larochelle
1
+ Vector Generalized Linear and Additive Models 2015 Thomas W. Yee
1
+ PDF Chat Corrections for multiple comparisons in voxel-based lesion-symptom mapping 2017 Daniel Mirman
Jon-Frederick Landrigan
Spiro Kokolis
Sean Verillo
Casey Ferrara
Dorian Pustina
1
+ PDF Chat Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks 2018 Guotai Wang
Wenqi Li
SĂ©bastien Ourselin
Tom Vercauteren
1
+ PDF Chat Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation 2018 Konstantinos Kamnitsas
Wenjia Bai
Enzo Ferrante
Steven McDonagh
Matthew Sinclair
Nick Pawlowski
Martin Rajchl
Min Young Lee
Bernhard Kainz
Daniel Rueckert
1
+ Statistical Estimates and Transformed Beta-Variables. 1960 Paul D. Minton
Gunnar Blom
1
+ Flexible Regression and Smoothing: Using Gamlss in R 2017 Mikis D. Stasinopoulos
Robert A. Rigby
Gillian Z. Heller
Vlasios Voudouris
Fernanda De Bastiani
1
+ A Practical Guide to Lesion Symptom Mapping 2022 Margaret Jane Moore
1
+ Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm 1977 A. P. Dempster
N. M. Laird
Donald B. Rubin
1
+ Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge 2018 Spyridon Bakas
Mauricio Reyes
Enzo Battistella
Siddhartha Chandra
Huiguang He
Lucas Fidon
Maria Vakalopoulou
Roger Sun
et al.
Éric Deutsch
1
+ PDF Chat Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging 2020 Melis AnatĂŒrk
Tobias Kaufmann
James H. Cole
Sana Suri
Ludovica Griffanti
EnikƑ Zsoldos
Nicola Filippini
Archana Singh‐Manoux
Mika KivimÀki
Lars T. Westlye
1
+ PDF Chat Voxel-Based Morphometry—The Methods 2000 John Ashburner
Karl Friston
1
+ PDF Chat 3D MRI Brain Tumor Segmentation Using Autoencoder Regularization 2019 Andriy Myronenko
1
+ PDF Chat Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge 2018 Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier‐Hein
1
+ PDF Chat The Measurement of Observer Agreement for Categorical Data 1977 J. Richard Landis
Gary G. Koch
1
+ PDF Chat Sample size and sample composition for constructing growth reference centiles 2020 Tim Cole
1
+ PDF Chat Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data 2020 Seyed Mostafa Kia
Hester Huijsdens
Richard Dinga
Thomas Wolfers
Maarten Mennes
Ole A. Andreassen
Lars T. Westlye
Christian F. Beckmann
André F. Marquand
1