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Convolutional Neural Networks for Classification of Alzheimer's Disease:
  Overview and Reproducible Evaluation

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

16 April 2019
Junhao Wen
Elina Thibeau-Sutre
Mauricio Diaz-Melo
J. Samper-González
A. Routier
Simona Bottani
Didier Dormont
S. Durrleman
Ninon Burgos
O. Colliot
ArXivPDFHTML

Papers citing "Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation"

38 / 88 papers shown
Title
Introducing Vision Transformer for Alzheimer's Disease classification
  task with 3D input
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input
Zilun Zhang
Farzad Khalvati
MedIm
ViT
22
9
0
03 Oct 2022
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease
  Classification with Incomplete Data
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data
Linfeng Liu
Siyu Liu
Lu Zhang
X. To
F. Nasrallah
Shekhar S. Chandra
MedIm
34
52
0
01 Oct 2022
Structure Guided Manifolds for Discovery of Disease Characteristics
Structure Guided Manifolds for Discovery of Disease Characteristics
Siyu Liu
Linfeng Liu
Xuan Vinh
Stuart Crozier
Craig B. Engstrom
F. Nasrallah
Shekhar S. Chandra
MedIm
23
0
0
22 Sep 2022
Reproducibility in machine learning for medical imaging
Reproducibility in machine learning for medical imaging
O. Colliot
Elina Thibeau-Sutre
Ninon Burgos
OOD
27
8
0
12 Sep 2022
Computer-aided diagnosis and prediction in brain disorders
Computer-aided diagnosis and prediction in brain disorders
Vikram Venkatraghavan
S. V. D. Voort
D. Bos
M. Smits
F. Barkhof
W. Niessen
S. Klein
Esther E. Bron
OOD
14
1
0
29 Jun 2022
U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic
  FDG-PET Images
U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images
Marcel Kollovieh
Matthias Keicher
S. Wunderlich
Hendrik Burwinkel
T. Wendler
Nassir Navab
MedIm
16
1
0
16 Jun 2022
Towards better Interpretable and Generalizable AD detection using
  Collective Artificial Intelligence
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
H. Nguyen
Michael Clement
Boris Mansencal
Pierrick Coupé
MedIm
36
109
0
07 Jun 2022
Bias in Machine Learning Models Can Be Significantly Mitigated by
  Careful Training: Evidence from Neuroimaging Studies
Bias in Machine Learning Models Can Be Significantly Mitigated by Careful Training: Evidence from Neuroimaging Studies
Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
OOD
AI4CE
29
43
0
26 May 2022
Machine Learning Workflow to Explain Black-box Models for Early
  Alzheimer's Disease Classification Evaluated for Multiple Datasets
Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets
Louise Bloch
Christoph M. Friedrich
11
11
0
12 May 2022
Adversarial confound regression and uncertainty measurements to classify
  heterogeneous clinical MRI in Mass General Brigham
Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham
M. Leming
Sudeshna Das
H. Im
BDL
23
8
0
05 May 2022
Feature robustness and sex differences in medical imaging: a case study
  in MRI-based Alzheimer's disease detection
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection
Eike Petersen
Aasa Feragen
Maria Luise da Costa Zemsch
A. Henriksen
Oskar Eiler Wiese Christensen
M. Ganz
OOD
21
27
0
04 Apr 2022
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation
Xu Tian
Jin Liu
Hulin Kuang
Yu Sheng
Jianxin Wang
The Alzheimer’s Disease Neuroimaging Initiative
16
5
0
02 Apr 2022
Biceph-Net: A robust and lightweight framework for the diagnosis of
  Alzheimer's disease using 2D-MRI scans and deep similarity learning
Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning
A. H. Rashid
Aditya Gupta
Jhalak Gupta
M. Tanveer
23
25
0
23 Mar 2022
A multi-stream convolutional neural network for classification of
  progressive MCI in Alzheimer's disease using structural MRI images
A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer's disease using structural MRI images
Mona Ashtari-Majlan
Abbas Seifi
Mohammad Mahdi Dehshibi
13
46
0
03 Mar 2022
Ten years of image analysis and machine learning competitions in
  dementia
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
13
15
0
15 Dec 2021
Neural Networks for Infectious Diseases Detection: Prospects and
  Challenges
Neural Networks for Infectious Diseases Detection: Prospects and Challenges
Muhammad Azeem
Shumaila Javaid
Hamza Fahim
Nasir Saeed
24
6
0
07 Dec 2021
Conditional Alignment and Uniformity for Contrastive Learning with
  Continuous Proxy Labels
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
Edouard Duchesnay
MedIm
16
6
0
10 Nov 2021
Axial multi-layer perceptron architecture for automatic segmentation of
  choroid plexus in multiple sclerosis
Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis
Marius Schmidt-Mengin
Vito A G Ricigliano
B. Bodini
E. Morena
A. Colombi
Mariem Hamzaoui
Arya Yazdan Panah
B. Stankoff
O. Colliot
31
15
0
08 Sep 2021
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
Raphael Ronge
K. Nho
Christian Wachinger
Sebastian Polsterl
6
4
0
12 Aug 2021
An explainable two-dimensional single model deep learning approach for
  Alzheimer's disease diagnosis and brain atrophy localization
An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization
Fan Zhang
Bo Pan
Pengfei Shao
Peng Liu
Shuwei Shen
Peng Yao
Ronald X. Xu
18
3
0
28 Jul 2021
Multimodal Representations Learning and Adversarial Hypergraph Fusion
  for Early Alzheimer's Disease Prediction
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction
Qiankun Zuo
Baiying Lei
Yanyan Shen
Yong Liu
Z. Feng
Shuqiang Wang
6
47
0
21 Jul 2021
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map
  Transform
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform
Sebastian Polsterl
Tom Nuno Wolf
Christian Wachinger
MedIm
22
44
0
13 Jul 2021
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data
  Augmentation and Deep Ensemble Learning
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
Benoit Dufumier
Pietro Gori
Ilaria Battaglia
J. Victor
Antoine Grigis
Edouard Duchesnay
3DV
31
16
0
02 Jun 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a
  Geometry-Based Variational Autoencoder
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Clément Chadebec
Elina Thibeau-Sutre
Ninon Burgos
S. Allassonnière
36
62
0
30 Apr 2021
Automatic quality control of brain T1-weighted magnetic resonance images
  for a clinical data warehouse
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse
Simona Bottani
Ninon Burgos
Aurélien Maire
Adam Wild
Sebastian Ströer
Didier Dormont
O. Colliot
14
31
0
16 Apr 2021
Deep Learning in current Neuroimaging: a multivariate approach with
  power and type I error control but arguable generalization ability
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability
C. Jiménez-Mesa
J. Ramírez
J. Suckling
Jonathan Voglein
J. Levin
Juan M Gorriz
Alzheimer's Disease Neuroimaging Initiative Adni
Dominantly Inherited Alzheimer Network (DIAN)
14
10
0
30 Mar 2021
Embracing the Disharmony in Medical Imaging: A Simple and Effective
  Framework for Domain Adaptation
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation
Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
OOD
42
49
0
23 Mar 2021
ICAM-reg: Interpretable Classification and Regression with Feature
  Attribution for Mapping Neurological Phenotypes in Individual Scans
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
Cher Bass
Mariana da Silva
Carole Sudre
Logan Z. J. Williams
Petru-Daniel Tudosiu
F. Alfaro-Almagro
S. Fitzgibbon
M. Glasser
Stephen M. Smith
E. C. Robinson
22
27
0
03 Mar 2021
Improving 3D convolutional neural network comprehensibility via
  interactive visualization of relevance maps: Evaluation in Alzheimer's
  disease
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
M. Dyrba
Moritz Hanzig
S. Altenstein
Sebastian Bader
Tommaso Ballarini
...
B. Ertl-Wagner
M. Wagner
J. Wiltfang
F. Jessen
S. Teipel
FAtt
MedIm
39
51
0
18 Dec 2020
Cross-Cohort Generalizability of Deep and Conventional Machine Learning
  for MRI-based Diagnosis and Prediction of Alzheimer's Disease
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease
Esther E. Bron
S. Klein
J. Papma
L. Jiskoot
Vikram Venkatraghavan
...
W. Niessen
J. Swieten
W. M. van der Flier
I. Ramakers
A. van der Lugt
8
66
0
16 Dec 2020
Domain Shift in Computer Vision models for MRI data analysis: An
  Overview
Domain Shift in Computer Vision models for MRI data analysis: An Overview
E. Kondrateva
Marina Pominova
E. Popova
M. Sharaev
A. Bernstein
Evgeny Burnaev
OOD
8
34
0
14 Oct 2020
Locally orderless tensor networks for classifying two- and
  three-dimensional medical images
Locally orderless tensor networks for classifying two- and three-dimensional medical images
Raghavendra Selvan
S. Orting
Erik Dam
13
6
0
25 Sep 2020
Harnessing spatial homogeneity of neuroimaging data: patch individual
  filter layers for CNNs
Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs
Fabian Eitel
J. P. Albrecht
M. Weygandt
Friedemann Paul
K. Ritter
13
2
0
23 Jul 2020
Longitudinal Pooling & Consistency Regularization to Model Disease
  Progression from MRIs
Longitudinal Pooling & Consistency Regularization to Model Disease Progression from MRIs
J. Ouyang
Qingyu Zhao
E. Sullivan
A. Pfefferbaum
S. Tapert
Ehsan Adeli
K. Pohl
14
17
0
31 Mar 2020
Visualization approach to assess the robustness of neural networks for
  medical image classification
Visualization approach to assess the robustness of neural networks for medical image classification
Elina Thibeau-Sutre
O. Colliot
Didier Dormont
Ninon Burgos
17
15
0
19 Nov 2019
On the design of convolutional neural networks for automatic detection
  of Alzheimer's disease
On the design of convolutional neural networks for automatic detection of Alzheimer's disease
Sheng Liu
Chhavi Yadav
C. Fernandez‐Granda
N. Razavian
42
46
0
09 Nov 2019
Multi-scale Graph-based Grading for Alzheimer's Disease Prediction
Multi-scale Graph-based Grading for Alzheimer's Disease Prediction
Kilian Hett
T. Thong
J. V. Manjón
Pierrick Coupé
10
35
0
15 Jul 2019
Binary Classification of Alzheimer Disease using sMRI Imaging modality
  and Deep Learning
Binary Classification of Alzheimer Disease using sMRI Imaging modality and Deep Learning
Ahsan Bin Tufail
Qiu-Na Zhang
Yong-Kui Ma
MedIm
19
88
0
09 Sep 2018
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