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Convolutional Neural Networks for Neuroimaging in Parkinson's Disease:
  Is Preprocessing Needed?

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

21 November 2023
Francisco J. Martínez-Murcia
Juan M Gorriz
J. Ramírez
A. Ortiz
ArXivPDFHTML

Papers citing "Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?"

8 / 8 papers shown
Title
Multimodal Identification of Alzheimer's Disease: A Review
Multimodal Identification of Alzheimer's Disease: A Review
Guian Fang
Mengsha Liu
Yi Zhong
Zhuolin Zhang
Jiehui Huang
Zhenchao Tang
C. Chen
22
0
0
06 Oct 2023
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent
  Space Analysis with 3D Convolutional Autoencoders
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders
E. D. D. L. Heras
Francisco J. Martínez-Murcia
I. A. Illán
C. Jiménez-Mesa
D. Castillo-Barnes
J. Ramírez
Juan M Gorriz
8
0
0
11 May 2023
Applications of Deep Learning Techniques for Automated Multiple
  Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Parisa Moridian
Mitra Rezaei
...
Juan M Gorriz
Jónathan Heras
M. Panahiazar
S. Nahavandi
U. Acharya
32
125
0
11 May 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
Uncertainty-driven ensembles of deep architectures for multiclass
  classification. Application to COVID-19 diagnosis in chest X-ray images
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
J. E. Arco
A. Ortiz
J. Ramírez
Francisco J. Martínez-Murcia
Yudong Zhang
Juan M Gorriz
UQCV
24
3
0
27 Nov 2020
Machine learning for the diagnosis of Parkinson's disease: A systematic
  review
Machine learning for the diagnosis of Parkinson's disease: A systematic review
J. Mei
Christian Desrosiers
J. Frasnelli
OOD
25
3
0
13 Oct 2020
An Explainable Machine Learning Model for Early Detection of Parkinson's
  Disease using LIME on DaTscan Imagery
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery
Pavan Rajkumar Magesh
Richard Delwin Myloth
Rijo Jackson Tom
FAtt
11
187
0
01 Aug 2020
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI:
  A Tutorial
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial
T. Pianpanit
Sermkiat Lolak
Phattarapong Sawangjai
E. Chuangsuwanich
Theerawit Wilaiprasitporn
13
3
0
23 Aug 2019
1