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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

2 May 2019
T. Jo
K. Nho
A. Saykin
ArXivPDFHTML

Papers citing "Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data"

12 / 12 papers shown
Title
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
Song Wang
Zhenyu Lei
Zhen Tan
Jiaqi Ding
Xinyu Zhao
...
Guorong Wu
Tianlong Chen
Chen Chen
Aiying Zhang
Jundong Li
63
0
0
23 Dec 2024
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Nour Neifar
Afef Mdhaffar
A. Ben-Hamadou
M. Jmaiel
MedIm
35
4
0
12 Jul 2023
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
39
6
0
07 Jun 2022
Attri-VAE: attribute-based interpretable representations of medical
  images with variational autoencoders
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
Irem Cetin
Maialen Stephens
Oscar Camara
M. A. G. Ballester
DRL
48
39
0
20 Mar 2022
Image analysis for Alzheimer's disease prediction: Embracing
  pathological hallmarks for model architecture design
Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design
Sarah C. Brüningk
Felix Hensel
C. Jutzeler
Bastian Alexander Rieck
18
4
0
12 Nov 2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia
  Screening from CT Imaging
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Xuelin Qian
Huazhu Fu
Weiya Shi
Tao Chen
Yanwei Fu
F. Shan
Xiangyang Xue
33
51
0
07 Oct 2020
A Multi-modal Machine Learning Approach and Toolkit to Automate
  Recognition of Early Stages of Dementia among British Sign Language Users
A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users
Xing Liang
A. Angelopoulou
E. Kapetanios
B. Woll
Reda Al-batat
Tyron Woolfe
19
17
0
01 Oct 2020
Exploiting Multi-Modal Features From Pre-trained Networks for
  Alzheimer's Dementia Recognition
Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer's Dementia Recognition
Junghyun Koo
Jie Hwan Lee
Jaewoo Pyo
Yujin Jo
Kyogu Lee
27
58
0
09 Sep 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
40
483
0
28 May 2020
A Unified Deep Learning Approach for Prediction of Parkinson's Disease
A Unified Deep Learning Approach for Prediction of Parkinson's Disease
J. Wingate
I. Kollia
L. Bidaut
Stefanos D. Kollias
MedIm
AI4CE
19
50
0
25 Nov 2019
NEURO-DRAM: a 3D recurrent visual attention model for interpretable
  neuroimaging classification
NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification
D. Wood
James H. Cole
Thomas C Booth
MedIm
25
12
0
10 Oct 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
340
10,633
0
19 Feb 2017
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