Shakiba Moradi
Shakiba Moradi
Shakiba Moradi, Theekshana Dissanayake, Nils Harmening, Eike Middell, Alexander von Luhmann
Cross-Modal Learning from fMRI to DOT: Leveraging Large-Scale Neuroimaging for fNIRS Decoding
Jakob Steglich, Justus Meyer zu Bexten, Shakiba Moradi, Laure Ciernik, Simon M. Hofmann, Mina Jamshidi Idaji
Representational and Functional Robustness to Electrode Montages in EEG Foundation Models
Eike Middell, Laura B. Carlton, Shakiba Moradi, Tomás Codina, Thomas Fischer, Josef Cutler, Shannon M. Kelley, Jacqueline Behrendt, Theekshana Dissanayake, Nils Harmening, Meryem A. Yücel, David A. Boas, Alexander von Lühmann
Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world
Thomas Fischer, Eike Middell, Shakiba Moradi and Alexander von Lühmann
fNIRS Single-trial decoding improves systematically with higher optode density, model-based noise regression, and image reconstruction
Thomas Fischer, Eike Middell, Shakiba Moradi, Alexander von Lühmann
fNIRSSingle-TrialDecodingImprovesSystematicallyWith 3 HigherOptodeDensity,Model-BasedNoiseRegression,and 4 ImageReconstruction
Photo Recap: Cedalion Workshop at BIFOLD
In the context of the MoBI conference, about 140 researchers, engineers, and physicians joined BIFOLD on-site and online for a 1.5-day workshop on Cedalion, the new Python-based toolbox for multimodal fNIRS and DOT analysis.
IBS Lab Contribution to fNIRS UK 2025
At fNIRS UK 2025 in Cambridge, IBS Lab will showcase ERC-funded research on multimodal neuroimaging, including a Cedalion toolbox workshop, advances in fNIRS-EEG fusion, and deep learning transfer from fMRI to fNIRS/DOT.