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Preventing dataset shift from breaking machine-learning biomarkers

Preventing dataset shift from breaking machine-learning biomarkers

21 July 2021
Jéroome Dockes
Gaël Varoquaux
J B Poline
    OOD
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Papers citing "Preventing dataset shift from breaking machine-learning biomarkers"

10 / 10 papers shown
Title
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
Thomas Sanchez
Vladyslav Zalevsky
Angeline Mihailo
Gerard Martí Juan
E. Eixarch
Andras Jakab
Vincent Dunet
Mériam Koob
G. Auzias
Meritxell Bach Cuadra
51
0
0
13 Mar 2025
Maximizing domain generalization in fetal brain tissue segmentation: the
  role of synthetic data generation, intensity clustering and real image
  fine-tuning
Maximizing domain generalization in fetal brain tissue segmentation: the role of synthetic data generation, intensity clustering and real image fine-tuning
Vladyslav Zalevskyi
Thomas Sanchez
Margaux Roulet
Hélène Lajous
Jordina Aviles Verdera
Jana Hutter
Hamza Kebiri
Meritxell Bach Cuadra
OOD
48
1
0
11 Nov 2024
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Apolline Mellot
Antoine Collas
Sylvain Chevallier
Alexandre Gramfort
D. Engemann
OOD
23
3
0
04 Jul 2024
Physics-informed and Unsupervised Riemannian Domain Adaptation for
  Machine Learning on Heterogeneous EEG Datasets
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
Apolline Mellot
Antoine Collas
Sylvain Chevallier
D. Engemann
Alexandre Gramfort
OOD
18
2
0
07 Mar 2024
FetMRQC: an open-source machine learning framework for multi-centric
  fetal brain MRI quality control
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control
Thomas Sanchez
Oscar Esteban
Yvan Gomez
A. Pron
Mériam Koob
...
Nadine Girard
Andras Jakab
E. Eixarch
G. Auzias
Meritxell Bach Cuadra
24
5
0
08 Nov 2023
Generative models improve fairness of medical classifiers under
  distribution shifts
Generative models improve fairness of medical classifiers under distribution shifts
Ira Ktena
Olivia Wiles
Isabela Albuquerque
Sylvestre-Alvise Rebuffi
Ryutaro Tanno
...
Danielle Belgrave
Pushmeet Kohli
Alan Karthikesalingam
A. Cemgil
Sven Gowal
OOD
MedIm
28
78
0
18 Apr 2023
Deployment of Image Analysis Algorithms under Prevalence Shifts
Deployment of Image Analysis Algorithms under Prevalence Shifts
Patrick Godau
P. Kalinowski
E. Christodoulou
Annika Reinke
M. Tizabi
Luciana Ferrer
Paul Jäger
Lena Maier-Hein
39
9
0
22 Mar 2023
How Robust is Unsupervised Representation Learning to Distribution
  Shift?
How Robust is Unsupervised Representation Learning to Distribution Shift?
Yuge Shi
Imant Daunhawer
Julia E. Vogt
Philip H. S. Torr
Amartya Sanyal
OOD
32
25
0
17 Jun 2022
Improving generalization of machine learning-identified biomarkers with
  causal modeling: an investigation into immune receptor diagnostics
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics
Milena Pavlović
Ghadi S. Al Hajj
Chakravarthi Kanduri
J. Pensar
Mollie E. Wood
L. Sollid
Victor Greiff
G. K. Sandve
CML
OOD
AI4CE
21
4
0
20 Apr 2022
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
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