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Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites
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Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites

Nicolás Nieto
Simon B. Eickhoff
Christian Jung
M. Reuter
K. Diers
Malte Kelm
Artur Lichtenberg
F. Raimondo
K. Patil
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Papers citing "Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites"

4 / 4 papers shown
Title
On Leakage in Machine Learning Pipelines
On Leakage in Machine Learning Pipelines
Leonard Sasse
Eliana Nicolaisen-Sobesky
Juergen Dukart
Simon B. Eickhoff
Michael Götz
...
Abhijit Kulkarni
Juha Lahnakoski
Bradley C. Love
F. Raimondo
K. Patil
AI4CE
80
5
0
07 Nov 2023
Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets
Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets
C. Marzi
M. Giannelli
A. Barucci
C. Tessa
M. Mascalchi
S. Diciotti
51
24
0
08 Nov 2022
Detect and Correct Bias in Multi-Site Neuroimaging Datasets
Detect and Correct Bias in Multi-Site Neuroimaging Datasets
Christian Wachinger
A. Rieckmann
Sebastian Polsterl
87
86
0
12 Feb 2020
Biological sex classification with structural MRI data shows increased misclassification in transgender women
Biological sex classification with structural MRI data shows increased misclassification in transgender women
Claas Flint
K. Förster
Sophie A. Koser
C. Konrad
P. Zwitserlood
...
V. Arolt
Tim Hahn
Xiaoyi Jiang
U. Dannlowski
D. Grotegerd
36
17
0
24 Nov 2019