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2106.01132
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Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
2 June 2021
Benoit Dufumier
Pietro Gori
Ilaria Battaglia
J. Victor
Antoine Grigis
Edouard Duchesnay
3DV
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Papers citing
"Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning"
17 / 17 papers shown
Title
EnD: Entangling and Disentangling deep representations for bias correction
Enzo Tartaglione
C. Barbano
Marco Grangetto
58
124
0
02 Mar 2021
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
45
5
0
22 Sep 2020
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls
Mengjiao Hu
K. Sim
J. Zhou
Xudong Jiang
Cuntai Guan
28
35
0
14 Mar 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
200
433
0
09 Mar 2020
Detect and Correct Bias in Multi-Site Neuroimaging Datasets
Christian Wachinger
A. Rieckmann
Sebastian Polsterl
42
85
0
12 Feb 2020
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks
Angelos Filos
Sebastian Farquhar
Aidan Gomez
Tim G. J. Rudner
Zachary Kenton
Lewis Smith
Milad Alizadeh
A. D. Kroon
Y. Gal
BDL
AAML
OOD
UQCV
41
108
0
22 Dec 2019
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects
Ben Glocker
Robert Robinson
Daniel Coelho De Castro
Qi Dou
E. Konukoglu
41
91
0
10 Oct 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
Junhao Wen
Elina Thibeau-Sutre
Mauricio Diaz-Melo
J. Samper-González
A. Routier
Simona Bottani
Didier Dormont
S. Durrleman
Ninon Burgos
O. Colliot
57
515
0
16 Apr 2019
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
Xiao Yang
Roland Kwitt
Martin Styner
Marc Niethammer
60
594
0
31 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
344
4,700
0
15 Mar 2017
Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
Sergey Korolev
Amir Safiullin
Mikhail Belyaev
Yulia Dodonova
MedIm
36
367
0
23 Jan 2017
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
495
10,305
0
16 Nov 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
139
7,465
0
24 Feb 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.0K
15,768
0
02 Nov 2015
Brain Tumor Segmentation with Deep Neural Networks
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
3DV
108
2,875
0
13 May 2015
Deep learning for neuroimaging: a validation study
Sergey Plis
R. Devon Hjelm
Ruslan Salakhutdinov
Vince D. Calhoun
AI4CE
99
573
0
20 Dec 2013
A survey of cross-validation procedures for model selection
Sylvain Arlot
Alain Celisse
196
3,587
0
27 Jul 2009
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