Release the Krakencoder: A unified brain connectome translation and fusion tool

KW Jamison, Z Gu, Q Wang, C Tozlu, MR Sabuncu… - BioRxiv, 2024 - pmc.ncbi.nlm.nih.gov
Brain connectivity can be estimated in many ways, depending on modality and processing
strategy. Here we present the Krakencoder, a joint connectome map** tool that …

Edge-centric network control on the human brain structural network

H Sun, M Rosenblatt, J Dadashkarimi… - Imaging …, 2024 - direct.mit.edu
Network control theory models how gray matter regions transition between cognitive states
through associated white matter connections, where controllability quantifies the contribution …

Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling

Q Liang, BD Adkinson, R Jiang, D Scheinost - International Conference on …, 2024 - Springer
Data-sharing in neuroimaging research alleviates the cost and time constraints of collecting
large sample sizes at a single location, aiding the development of foundational models with …

Cross-atlas brain connectivity map** with dual-conditional diffusion model

R Zhang, G Chen, C Deng, J Ma… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The open neuroimaging datasets provided by researchers offer a wealth of samples for
scientific research, enhancing reproducibility and accelerating new scientific discoveries …

Advancing Machine Learning in Neuroimaging by Maximizing Data Utility Through Imputation and Connectome Harmonization

Q Liang - 2024 - search.proquest.com
Neuroimaging techniques, including fMRI and DTI, have significantly advanced with
machine learning, providing powerful tools for studying the human brain. However, the field …