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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

16 December 2020
Esther E. Bron
S. Klein
J. Papma
L. Jiskoot
Vikram Venkatraghavan
J. Linders
P. Aalten
P. P. Deyn
G. Biessels
J. Claassen
H. Middelkoop
M. Smits
W. Niessen
J. Swieten
W. M. van der Flier
I. Ramakers
A. van der Lugt
ArXivPDFHTML

Papers citing "Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease"

10 / 10 papers shown
Title
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
Predicting Fine-grained Behavioral and Psychological Symptoms of
  Dementia Based on Machine Learning and Smart Wearable Devices
Predicting Fine-grained Behavioral and Psychological Symptoms of Dementia Based on Machine Learning and Smart Wearable Devices
Benny Wei-Yun Hsu
Yu-Ming Chen
Yuan-Han Yang
Vincent S. Tseng
18
0
0
08 Oct 2024
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
19
5
0
15 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
Brain Anatomy Prior Modeling to Forecast Clinical Progression of
  Cognitive Impairment with Structural MRI
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI
Lintao Zhang
Jinjian Wu
Lihong Wang
Li Wang
David C. Steffens
S. Qiu
G. Potter
Mingxia Liu
MedIm
AI4CE
23
0
0
20 Jun 2023
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
Longitudinal detection of new MS lesions using Deep Learning
Longitudinal detection of new MS lesions using Deep Learning
R. A. Kamraoui
Boris Mansencal
J. V. Manjón
Pierrick Coupé
MedIm
28
6
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
6
0
07 Jun 2022
DeepLesionBrain: Towards a broader deep-learning generalization for
  multiple sclerosis lesion segmentation
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
R. A. Kamraoui
Vinh-Thong Ta
T. Tourdias
Boris Mansencal
J. V. Manjón
Pierrick Coupé
OOD
31
50
0
14 Dec 2020
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
322
10,621
0
19 Feb 2017
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