Daniel Ferreira

According to our database, Daniel Ferreira authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Frontoparietal atrophy trajectories in cognitively unimpaired elderly individuals using longitudinal Bayesian clustering.

Giulia Lorenzon, Konstantinos Poulakis, Rosaleena Mohanty, Miia Kivipelto, Maria Eriksdotter, Daniel Ferreira, Eric Westman

Comput. Biol. Medicine, 2024

2023

A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templates.

Jingru Fu, Daniel Ferreira, Örjan Smedby, Rodrigo Moreno

CoRR, 2023

2022

Generative Aging of Brain Images with Diffeomorphic Registration.

Jingru Fu, Antonios Tzortzakakis, José Barroso, Eric Westman, Daniel Ferreira, Rodrigo Moreno

CoRR, 2022

A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study.

Petter Minne, Alvaro Fernandez-Quilez, Dag Aarsland, Daniel Ferreira, Eric Westman, Afina W. Lemstra, Mara Ten Kate, Alessandro Padovani, Irene Rektorova, Laura Bonanni, Flavio Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Frédéric Blanc, Angelo Antonini, Ketil Oppedal

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease.

Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, Daniel Ferreira, Gustav Mårtensson, Eric Westman, Daniel C. Alexander, Giovanni B. Frisoni, Alberto Redolfi

Frontiers Big Data, 2021

2020

Cholinergic white matter pathways make a stronger contribution to attention and memory in normal aging than cerebrovascular health and nucleus basalis of Meynert.

Milan Nemy, Nira Cedres, Michel J. Grothe, J.-Sebastian Muehlboeck, Olof Lindberg, Zuzana Nedelska, Olga Stepánková, Lenka Vyslouzilova, Maria Eriksdotter, José Barroso, Stefan Teipel, Eric Westman, Daniel Ferreira

NeuroImage, 2020

The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study.

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Eric Westman

Medical Image Anal., 2020

2019

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study.

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman

CoRR, 2019

AVRA: Automatic Visual Ratings of Atrophy from MRI images using Recurrent Convolutional Neural Networks.

Gustav Mårtensson, Daniel Ferreira, Lena Cavallin, J.-Sebastian Muehlboeck, Lars-Olof Wahlund, Chunliang Wang, Eric Westman

CoRR, 2019