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

50 / 88 papers shown
Title
REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis
REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis
Duy-Cat Can
Quang-Huy Tang
Huong Ha
Binh T. Nguyen
Oliver Y. Chén
31
0
0
12 Apr 2025
Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning
Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning
C. Tinauer
Maximilian Sackl
Rudolf Stollberger
Stefan Ropele
C. Langkammer
AAML
40
0
0
27 Jan 2025
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease
Wenjie Kang
L. Jiskoot
Peter De Deyn
G. Biessels
Huiberdina Koek
...
H. Middelkoop
W. M. van der Flier
Willemijn J. Jansen
S. Klein
Esther E. Bron
29
0
0
20 Jan 2025
Invariant Shape Representation Learning For Image Classification
Invariant Shape Representation Learning For Image Classification
Tonmoy Hossain
Jing Ma
Jundong Li
Miaomiao Zhang
78
2
0
19 Nov 2024
Improving Image Data Leakage Detection in Automotive Software
Improving Image Data Leakage Detection in Automotive Software
Md Abu Ahammed Babu
Sushant Kumar Pandey
Darko Durisic
Ashok Chaitanya Koppisetty
Miroslaw Staron
21
0
0
29 Oct 2024
Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep
  Learning Architectures for Ultrasound Fetal Plane Classification
Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification
Arrun Sivasubramanian
Divya Sasidharan
Sowmya V
Vinayakumar Ravi
23
0
0
22 Oct 2024
VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis
VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis
Andrew Hoopes
V. Butoi
John Guttag
Adrian V. Dalca
MedIm
LM&MA
35
1
0
10 Oct 2024
AlzhiNet: Traversing from 2DCNN to 3DCNN, Towards Early Detection and
  Diagnosis of Alzheimer's Disease
AlzhiNet: Traversing from 2DCNN to 3DCNN, Towards Early Detection and Diagnosis of Alzheimer's Disease
Romoke Grace Akindele
Samuel Adebayo
Paul Shekonya Kanda
Ming Yu
22
1
0
03 Oct 2024
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for
  T1-weighted Brain MRI
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI
Jonghun Kim
Mansu Kim
Hyunjin Park
MedIm
ViT
23
0
0
01 Oct 2024
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for
  High-Dimensional Neuroimaging Data
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data
Kuan-Cheng Chen
Yi-Tien Li
Tai-Yu Li
Chen-Yu Liu
Po-Heng Li
Cheng-Yu Chen
24
7
0
13 Sep 2024
A Quantitative Approach for Evaluating Disease Focus and
  Interpretability of Deep Learning Models for Alzheimer's Disease
  Classification
A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification
Thomas Yu Chow Tam
Litian Liang
Ke Chen
Haohan Wang
Wei Wu
24
1
0
07 Sep 2024
GSpect: Spectral Filtering for Cross-Scale Graph Classification
GSpect: Spectral Filtering for Cross-Scale Graph Classification
Xinming Zhang
Wenchuan Yang
Jiawei Feng
Bitao Dai
Tianci Bu
Xin Lu
30
1
0
31 Aug 2024
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical
  Image Classification and Confidence Calibration
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration
Xiaoqing Zhang
Qiushi Nie
Zunjie Xiao
Jilu Zhao
Xiao Wu
Pengxin Guo
Runzhi Li
Jin Liu
Yanjie Wei
Yi-Lun Pan
44
0
0
06 Aug 2024
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Lisa Hemforth
B. Couvy-Duchesne
Kevin de Matos
Camille Brianceau
Matthieu Joulot
...
V. Frouin
Alexandre Martin
IMAGEN study group
C. Cury
O. Colliot
35
1
0
05 Aug 2024
Enhanced Deep Learning Methodologies and MRI Selection Techniques for
  Dementia Diagnosis in the Elderly Population
Enhanced Deep Learning Methodologies and MRI Selection Techniques for Dementia Diagnosis in the Elderly Population
Nikolaos Ntampakis
Konstantinos Diamantaras
Ioanna Chouvarda
Vasileios Argyriou
Panagiotis Sarigianndis
19
1
0
24 Jul 2024
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's
  Disease Progression Analysis
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis
Jacob Thrasher
Alina Devkota
Ahmed Tafti
Binod Bhattarai
P. Gyawali
31
0
0
09 Jul 2024
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D
  Deformable Autoencoders
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
Mehmet Yigit Avci
Emily Chan
Veronika A. Zimmer
Daniel Rueckert
Benedikt Wiestler
Julia A. Schnabel
Cosmin I. Bercea
MedIm
37
0
0
04 Jul 2024
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's
  Localized Diagnosis using 2D CNNs on 3D MRI brain scans
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans
Gabriele Lozupone
Alessandro Bria
F. Fontanella
C. D. Stefano
35
4
0
02 Jul 2024
AI for the prediction of early stages of Alzheimer's disease from
  neuroimaging biomarkers -- A narrative review of a growing field
AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers -- A narrative review of a growing field
Thorsten Rudroff
O. Rainio
R. Klén
36
8
0
25 Jun 2024
Self-Supervised Pretext Tasks for Alzheimer's Disease Classification
  using 3D Convolutional Neural Networks on Large-Scale Synthetic Neuroimaging
  Dataset
Self-Supervised Pretext Tasks for Alzheimer's Disease Classification using 3D Convolutional Neural Networks on Large-Scale Synthetic Neuroimaging Dataset
Chen Zheng
MedIm
21
0
0
20 Jun 2024
A Novel Feature Map Enhancement Technique Integrating Residual CNN and
  Transformer for Alzheimer Diseases Diagnosis
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis
Saddam Hussain Khan
MedIm
47
2
0
30 Mar 2024
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
Daniel Duenias
Brennan Nichyporuk
Tal Arbel
Tammy Riklin-Raviv
42
3
0
20 Mar 2024
Learning the irreversible progression trajectory of Alzheimer's disease
Learning the irreversible progression trajectory of Alzheimer's disease
Yipei Wang
Bing He
S. Risacher
A. Saykin
Jingwen Yan
Xiaoqian Wang
43
0
0
10 Mar 2024
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Elodie Germani
Nikhil Baghwat
Mathieu Dugré
Rémi Gau
A. Montillo
Kevin Nguyen
Andrzej Sokolowski
Madeleine Sharp
J B Poline
Tristan Glatard
21
0
0
20 Feb 2024
Evaluation of pseudo-healthy image reconstruction for anomaly detection
  with deep generative models: Application to brain FDG PET
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET
Ravi Hassanaly
Camille Brianceau
Maelys Solal
O. Colliot
Ninon Burgos
MedIm
38
5
0
29 Jan 2024
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations
  of Disease Heterogeneity Through Machine Learning
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
Junhao Wen
Mathilde Antoniades
Zhijian Yang
Gyujoon Hwang
I. Skampardoni
Rongguang Wang
Christos Davatzikos
25
1
0
17 Jan 2024
ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers
ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers
Yifeng Wang
Ke Chen
Haohan Wang
MedIm
23
1
0
12 Jan 2024
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
Liang Peng
Songyue Cai
Zongqian Wu
Huifang Shang
Xiaofeng Zhu
Xiaoxiao Li
39
9
0
22 Dec 2023
Identifying Alzheimer Disease Dementia Levels Using Machine Learning
  Methods
Identifying Alzheimer Disease Dementia Levels Using Machine Learning Methods
Md Gulzar Hussain
Shiren Ye
12
5
0
02 Nov 2023
A reproducible 3D convolutional neural network with dual attention
  module (3D-DAM) for Alzheimer's disease classification
A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification
Gia-Minh Hoang
Youngjoo Lee
Jae Gwan Kim
MedIm
17
1
0
19 Oct 2023
A Hybrid Transfer Learning Assisted Decision Support System for Accurate
  Prediction of Alzheimer Disease
A Hybrid Transfer Learning Assisted Decision Support System for Accurate Prediction of Alzheimer Disease
M. K. Mahadi
Abdullah Abdullah
Jamal Uddin
Asif Newaz
MedIm
15
0
0
13 Oct 2023
RegBN: Batch Normalization of Multimodal Data with Regularization
RegBN: Batch Normalization of Multimodal Data with Regularization
Morteza Ghahremani
Christian Wachinger
28
6
0
01 Oct 2023
An Interpretable Machine Learning Model with Deep Learning-based Imaging
  Biomarkers for Diagnosis of Alzheimer's Disease
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
Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease
  Diagnosis using Brain Images
Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images
Yanteng Zhang
Qizhi Teng
Xiaohai He
Tong Niu
Lipei Zhang
Yan Liu
Chao Ren
MedIm
16
7
0
10 Aug 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a
  Small Amount of Data: Results from Clinical Neuroscience
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
Rongguang Wang
G. Erus
Pratik Chaudhari
Christos Davatzikos
OOD
40
2
0
06 Aug 2023
Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's
  Disease from sMRI and PET Scans
Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans
Yanteng Zhanga
Xiaohai He
Yi Hao Chan
Qizhi Teng
Jagath Rajapakse
14
30
0
31 Jul 2023
Discovering interpretable elastoplasticity models via the neural
  polynomial method enabled symbolic regressions
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
B. Bahmani
H. S. Suh
WaiChing Sun
23
17
0
24 Jul 2023
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive
  Impairment Conversion Prediction
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction
Linfeng Liu
Junyan Lyu
Siyu Liu
Xiaoying Tang
Shekhar S. Chandra
F. Nasrallah
MedIm
23
2
0
14 Jul 2023
Weakly-supervised positional contrastive learning: application to
  cirrhosis classification
Weakly-supervised positional contrastive learning: application to cirrhosis classification
Emma Sarfati
Alexandre Bône
Marc-Michel Rohé
Pietro Gori
Isabelle Bloch
18
1
0
10 Jul 2023
Interpretable Alzheimer's Disease Classification Via a Contrastive
  Diffusion Autoencoder
Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder
Ayodeji Ijishakin
A. Abdulaal
Adamos Hadjivasiliou
Sophie Martin
James H. Cole
DiffM
MedIm
33
9
0
05 Jun 2023
Smart ROI Detection for Alzheimer's disease prediction using explainable
  AI
Smart ROI Detection for Alzheimer's disease prediction using explainable AI
Atefeh Aghaei
M. Moghaddam
41
2
0
18 Mar 2023
Don't PANIC: Prototypical Additive Neural Network for Interpretable
  Classification of Alzheimer's Disease
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease
Tom Nuno Wolf
Sebastian Polsterl
Christian Wachinger
FAtt
29
6
0
13 Mar 2023
Artificial Intelligence for Dementia Research Methods Optimization
Artificial Intelligence for Dementia Research Methods Optimization
M. Bucholc
C. James
Ahmad Al Khleifat
A. Badhwar
Natasha Clarke
...
S. Tamburin
H. Tantiangco
I. Lourida
David J. Llewellyn
J. Ranson
10
15
0
02 Mar 2023
SF2Former: Amyotrophic Lateral Sclerosis Identification From
  Multi-center MRI Data Using Spatial and Frequency Fusion Transformer
SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer
Rafsanjany Kushol
Collin C. Luk
Avyarthana Dey
M. Benatar
H. Briemberg
...
R. Welsh
A. Wilman
L. Zinman
S. Kalra
Yee-Hong Yang
MedIm
25
9
0
21 Feb 2023
Promises and pitfalls of deep neural networks in neuroimaging-based
  psychiatric research
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel
Marc-Andre Schulz
Moritz Seiler
Henrik Walter
K. Ritter
AI4CE
19
42
0
20 Jan 2023
Explicit Temporal Embedding in Deep Generative Latent Models for
  Longitudinal Medical Image Synthesis
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis
Julian Schon
Raghavendra Selvan
Lotte Nygaard
I. Vogelius
Jens Petersen
MedIm
14
4
0
13 Jan 2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical
  Development Patterns of Preterm Infants
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
Chen Xue
Fan Wang
Yuanzhuo Zhu
Hui Li
Deyu Meng
Dinggang Shen
C. Lian
50
2
0
01 Jan 2023
A Structure-guided Effective and Temporal-lag Connectivity Network for
  Revealing Brain Disorder Mechanisms
A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms
Zhengwang Xia
Tao Zhou
S. Mamoon
Amani Alfakih
Jianfeng Lu
27
9
0
01 Dec 2022
Deep Grading based on Collective Artificial Intelligence for AD
  Diagnosis and Prognosis
Deep Grading based on Collective Artificial Intelligence for AD Diagnosis and Prognosis
H. Nguyen
Michael Clement
Boris Mansencal
Pierrick Coupé
13
3
0
28 Nov 2022
How precise are performance estimates for typical medical image
  segmentation tasks?
How precise are performance estimates for typical medical image segmentation tasks?
Rosana El Jurdi
O. Colliot
UQCV
25
6
0
26 Oct 2022
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