Preventing dataset shift from breaking machine-learning biomarkers

Preventing dataset shift from breaking machine-learning biomarkers

21 July 2021

Jéroome Dockes

Gaël Varoquaux

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 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 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 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 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 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 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 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? 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 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) 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