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2012.10294
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Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
18 December 2020
M. Dyrba
Moritz Hanzig
S. Altenstein
Sebastian Bader
Tommaso Ballarini
F. Brosseron
K. Buerger
D. Cantré
P. Dechent
L. Dobisch
E. Düzel
M. Ewers
K. Fliessbach
W. Glanz
J. Haynes
M. Heneka
D. Janowitz
D. Keles
I. Kilimann
C. Laske
F. Maier
C. Metzger
M. Munk
R. Perneczky
O. Peters
L. Preis
J. Priller
B. Rauchmann
N. Roy
K. Scheffler
A. Schneider
B. Schott
A. Spottke
E. Spruth
M. Weber
B. Ertl-Wagner
M. Wagner
J. Wiltfang
F. Jessen
S. Teipel
FAtt
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Papers citing
"Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease"
6 / 6 papers shown
Title
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease
Wenjie Kang
Bo-wen Li
J. Papma
L. Jiskoot
P. P. Deyn
...
H. Middelkoop
W. M. van der Flier
I. Ramakers
S. Klein
Esther E. Bron
14
4
0
15 Aug 2023
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies
Dingqian Wang
N. Honnorat
P. Fox
K. Ritter
Simon B. Eickhoff
S. Seshadri
Mohamad Habes
16
33
0
22 Jul 2022
Feature visualization for convolutional neural network models trained on neuroimaging data
Fabian Eitel
A. Melkonyan
K. Ritter
FAtt
11
1
0
24 Mar 2022
Ten years of image analysis and machine learning competitions in dementia
Esther E. Bron
S. Klein
Annika Reinke
J. Papma
Lena Maier-Hein
Daniel C. Alexander
N. Oxtoby
OOD
11
15
0
15 Dec 2021
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
Adriano Lucieri
Muhammad Naseer Bajwa
S. Braun
M. I. Malik
Andreas Dengel
Sheraz Ahmed
MedIm
163
64
0
05 May 2020
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
1