Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1612.02572
Cited By
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
8 December 2016
James H. Cole
Rudra P. K. Poudel
Dimosthenis Tsagkrasoulis
M. Caan
C. Steves
T. Spector
Giovanni Montana
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker"
28 / 78 papers shown
Title
Neurodevelopmental Age Estimation of Infants Using a 3D-Convolutional Neural Network Model based on Fusion MRI Sequences
M. Shabanian
A. Siddiqui
H. Chen
J. DeVincenzo
19
0
0
07 Oct 2020
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation
Karim Armanious
Sherif Abdulatif
W. Shi
Shashank Salian
Thomas Kustner
Daniel Weiskopf
Tobias Hepp
S. Gatidis
Bin Yang
23
5
0
22 Sep 2020
Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface
Vitalis Vosylius
Andy Wang
C. Waters
Alexey Zakharov
Francis Ward
...
J. Cupitt
A. Makropoulos
A. Schuh
Daniel Rueckert
A. Alansary
3DH
21
12
0
13 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
58
625
0
02 Aug 2020
Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs
Fabian Eitel
J. P. Albrecht
M. Weygandt
Friedemann Paul
K. Ritter
23
2
0
23 Jul 2020
Large-scale inference of liver fat with neural networks on UK Biobank body MRI
Taro Langner
Robin Strand
H. Ahlström
J. Kullberg
MedIm
26
8
0
30 Jun 2020
Longitudinal Self-Supervised Learning
Qingyu Zhao
Zixuan Liu
Ehsan Adeli
K. Pohl
30
29
0
12 Jun 2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Samaneh Abbasi-Sureshjani
Ralf Raumanns
B. Michels
Gerard Schouten
Dovile Juodelyte
FaML
33
35
0
20 May 2020
Brain Age Estimation Using LSTM on Children's Brain MRI
Sheng He
R. Gollub
S. Murphy
Juan David Perez
S. Prabhu
R. Pienaar
Richard Robertson
P. E. Grant
Yangming Ou
3DV
8
12
0
20 Feb 2020
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
Taro Langner
Robin Strand
H. Ahlström
J. Kullberg
31
22
0
17 Feb 2020
Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI
M. Shabanian
E. Eckstein
Hao Chen
J. DeVincenzo
27
11
0
27 Oct 2019
Organ-based Chronological Age Estimation based on 3D MRI Scans
Karim Armanious
Sherif Abdulatif
Anish Rao Bhaktharaguttu
Thomas Kustner
Tobias Hepp
S. Gatidis
Bin Yang
MedIm
8
0
0
14 Oct 2019
Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures
J. Dafflon
W. H. Pinaya
F. Turkheimer
James H. Cole
R. Leech
M. Harris
S. Cox
H. Whalley
A. McIntosh
Peter J Hellyer
24
2
0
08 Oct 2019
A Tool for Super-Resolving Multimodal Clinical MRI
Mikael Brudfors
Yael Balbastre
P. Nachev
John Ashburner
19
11
0
03 Sep 2019
Bayesian Volumetric Autoregressive generative models for better semisupervised learning
Guilherme Pombo
Robert J. Gray
Thomas Varsavsky
John Ashburner
P. Nachev
GAN
BDL
MedIm
26
6
0
26 Jul 2019
Estimating brain age based on a healthy population with deep learning and structural MRI
Xinyang Feng
Zachary Chase Lipton
J. Yang
S. Small
F. Provenzano
8
5
0
01 Jul 2019
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks
Florian Dubost
H. Adams
P. Yilmaz
Gerda Bortsova
Gijs van Tulder
M. Ikram
W. Niessen
Meike W. Vernooij
Marleen de Bruijne
MedIm
10
43
0
05 Jun 2019
Multimodal Sparse Classifier for Adolescent Brain Age Prediction
P. H. Kassani
Alexej Gossmann
Yu-Ping Wang
9
15
0
01 Apr 2019
Tensor Dropout for Robust Learning
Arinbjorn Kolbeinsson
Jean Kossaifi
Yannis Panagakis
Adrian Bulat
Anima Anandkumar
I. Tzoulaki
Paul Matthews
OOD
28
2
0
27 Feb 2019
AVRA: Automatic Visual Ratings of Atrophy from MRI images using Recurrent Convolutional Neural Networks
G. Mårtensson
D. Ferreira
L. Cavallin
J.-Sebastian Muehlboeck
L. Wahlund
Chunliang Wang
E. Westman
33
20
0
23 Dec 2018
An overview of deep learning in medical imaging focusing on MRI
A. Lundervold
A. Lundervold
OOD
22
1,608
0
25 Nov 2018
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images
Pascal Sturmfels
S. Rutherford
Mike Angstadt
Mark Peterson
Chandra S. Sripada
Jenna Wiens
MedIm
27
23
0
11 Aug 2018
Hydranet: Data Augmentation for Regression Neural Networks
Florian Dubost
Gerda Bortsova
H. Adams
M. Ikram
W. Niessen
Meike W. Vernooij
Marleen de Bruijne
MedIm
21
9
0
12 Jul 2018
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality
B. Gutiérrez-Becker
T. Klein
Christian Wachinger
31
48
0
04 Apr 2018
Correcting differences in multi-site neuroimaging data using Generative Adversarial Networks
H. Nguyen
R. Morris
Anthony W. Harris
Mayuresh S. Korgoankar
F. Ramos
MedIm
27
8
0
26 Mar 2018
Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks
Hongming Li
T. Satterthwaite
Yong-Xian Fan
19
77
0
11 Jan 2018
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar
Muhammad Majid
A. Qayyum
Muhammad Awais
M. Alnowami
Muhammad Khurram Khan
MedIm
16
1,036
0
04 Sep 2017
Tensor Regression Networks
Jean Kossaifi
Zachary Chase Lipton
Arinbjorn Kolbeinsson
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
3DV
43
145
0
26 Jul 2017
Previous
1
2