Cover Image

Robust-ComBat: Mitigating Outlier Effects in Diffusion MRI Data Harmonization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	David, Yoan, Jodoin, Pierre-Marc, Initiative, Alzheimer's Disease Neuroimaging, Investigators, The TRACK-TBI
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ComBAT Harmonization for diffusion MRI: Challenges and Best Practices
by: Jodoin, Pierre-Marc, et al.
Published: (2025)

Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation
by: Zhou, Rong, et al.
Published: (2026)

An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion
by: Giraud, Rémi, et al.
Published: (2019)

Self-organized clustering, prediction, and superposition of long-term cognitive decline from short-term individual cognitive test scores in Alzheimer's disease
by: Sato, Hiroyuki, et al.
Published: (2024)

Clinical-ComBAT: a diffusion-weighted MRI harmonization method for clinical applications
by: Girard, Gabriel, et al.
Published: (2025)

How reproducible are data-driven subtypes of Alzheimer's disease atrophy?
by: Prevot, Emma, et al.
Published: (2024)

Mitigating MRI Domain Shift in Sex Classification: A Deep Learning Approach with ComBat Harmonization
by: Sharifian, Peyman, et al.
Published: (2025)

Integrative Variational Autoencoders for Generative Modeling of an Image Outcome with Multiple Input Images
by: Lei, Bowen, et al.
Published: (2024)

IGCN: Integrative Graph Convolution Networks for patient level insights and biomarker discovery in multi-omics integration
by: Ozdemir, Cagri, et al.
Published: (2024)

A Hybrid CNN and ML Framework for Multi-modal Classification of Movement Disorders Using MRI and Brain Structural Features
by: Li, Mengyu, et al.
Published: (2026)

Assessment of ComBat Harmonization Performance on Structural Magnetic Resonance Imaging Measurements
by: Emma Tassi, et al.
Published: (2024)

Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies
by: Silva, Santiago, et al.
Published: (2026)

Enhancing Longitudinal Clinical Trial Efficiency with Digital Twins and Prognostic Covariate-Adjusted Mixed Models for Repeated Measures (PROCOVA-MMRM)
by: Ross, Jessica L., et al.
Published: (2024)

Harmonization Remains Unresolved: The Case of White Matter Hyperintensity Using ComBat And Deming Regression
by: Calvin D. Reyes, et al.
Published: (2025)

Evaluation of ComBat Harmonization for Reducing Across‐Tracer Differences in Regional Amyloid PET Analyses
by: Braden Yang, et al.
Published: (2024)

Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites
by: Xu, Hanliang, et al.
Published: (2024)

ComBat ‐Predict Enhances Generalizability of Neuroimaging Models to New Sites
by: Yao Xin, et al.
Published: (2026)

Outlier-Robust Diffusion Solvers for Inverse Problems
by: Zheng, Yang, et al.
Published: (2026)

Stochastic tensor space feature theory with applications to robust machine learning
by: Castrillon-Candas, Julio Enrique, et al.
Published: (2021)

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability
by: Jiménez-Mesa, Carmen, et al.
Published: (2021)

Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling
by: Judge, Thierry, et al.
Published: (2025)

Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion
by: Wu, Mengqi, et al.
Published: (2024)

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
by: Painchaud, Nathan, et al.
Published: (2024)

Spatio-Temporal Graph Deep Learning with Stochastic Differential Equations for Uncovering Alzheimer's Disease Progression
by: Zhou, Houliang, et al.
Published: (2025)

Outlier-Robust Multi-Model Fitting on Quantum Annealers
by: Pandey, Saurabh, et al.
Published: (2025)

Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data
by: Ijishakin, Ayodeji, et al.
Published: (2024)

Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation
by: Wu, Tong
Published: (2023)

HarmonPaint: Harmonized Training-Free Diffusion Inpainting
by: Li, Ying, et al.
Published: (2025)

MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort
by: Yao, Tina, et al.
Published: (2025)

Outlier-Robust Training of Machine Learning Models
by: Talak, Rajat, et al.
Published: (2024)

Hyperbolic Metric Learning for Visual Outlier Detection
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2024)

Taming Outlier Tokens in Diffusion Transformers
by: Wu, Xiaoyu, et al.
Published: (2026)

Scanner-Agnostic MRI Harmonization via SSIM-Guided Disentanglement
by: Caldera, Luca, et al.
Published: (2025)

Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
by: Dosi, Muskan, et al.
Published: (2025)

Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentation
by: Lim, Hyungtae
Published: (2024)

Image-based Outlier Synthesis With Training Data
by: Regmi, Sudarshan
Published: (2024)

SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud Registration
by: Zhao, Guiyu, et al.
Published: (2024)

Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
by: Wang, Yanyun, et al.
Published: (2026)

Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
by: Beizaee, Farzad, et al.
Published: (2024)

ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
by: Huang, Tianxin, et al.
Published: (2024)