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NEURO-DRAM: a 3D recurrent visual attention model for interpretable
  neuroimaging classification
v1v2v3 (latest)

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification

10 October 2019
D. Wood
James H. Cole
Thomas C Booth
    MedIm
ArXiv (abs)PDFHTML

Papers citing "NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification"

15 / 15 papers shown
Title
Deep Learning in Alzheimer's disease: Diagnostic Classification and
  Prognostic Prediction using Neuroimaging Data
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data
T. Jo
K. Nho
A. Saykin
58
506
0
02 May 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODSSegVLM
113
1,715
0
13 Feb 2019
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification
S. Esmaeilzadeh
D. Belivanis
K. Pohl
Ehsan Adeli
MedIm
44
96
0
01 Oct 2018
Explaining Explanations: An Overview of Interpretability of Machine
  Learning
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
XAI
95
1,857
0
31 May 2018
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis
  of Alzheimer's Disease using structural MR and FDG-PET images
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images
Donghuan Lu
K. Popuri
G. Ding
R. Balachandar
M. Beg
MedIm
43
317
0
13 Oct 2017
Yet Another ADNI Machine Learning Paper? Paving The Way Towards
  Fully-reproducible Research on Classification of Alzheimer's Disease
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease
J. Samper-González
Ninon Burgos
S. Fontanella
H. Bertin
M. Habert
S. Durrleman
Theodoros Evgeniou
O. Colliot
OOD
23
17
0
21 Sep 2017
Residual and Plain Convolutional Neural Networks for 3D Brain MRI
  Classification
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
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D
  Convolutional Network
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network
Ehsan Hosseini-Asl
G. Gimel'farb
A. El-Baz
MedIm
71
172
0
02 Jul 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Predicting Alzheimer's disease: a neuroimaging study with 3D
  convolutional neural networks
Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks
A. Payan
Giovanni Montana
MedIm
59
466
0
09 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
155
3,656
0
24 Jun 2014
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
254
9,242
0
16 May 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
397
33,550
0
16 Oct 2013
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