collaborators

12 papers

q-bio.NC2026

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications

Richard Leahy, Takfarinas Medani

Electroencephalography (EEG) and magnetoencephalography (MEG) provide noninvasive measurements of brain activity with millisecond temporal resolution, enabling the investigation of…

cs.LG2026

Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models

Aditya Kommineni, Emily Zhou, Kleanthis Avramidis +7

EEG foundation models, pre-trained on large-scale unlabelled EEG data, have emerged as a promising direction towards learning generalizable EEG representations. Despite showing pos…

cs.CV2026

Learning Cross-Joint Attention for Generalizable Video-Based Seizure Detection

Omar Zamzam, Takfarinas Medani, Chinmay Chinara +1

Automated seizure detection from long-term clinical videos can substantially reduce manual review time and enable real-time monitoring. However, existing video-based methods often…

eess.SP2026

Feasibility of simultaneous EEG-fMRI at 0.55 T: Recording, Denoising, and Functional Mapping

Parsa Razmara, Takfarinas Medani, Majid Abbasi Sisara +6

Simultaneous recording of electroencephalography (EEG) and functional MRI (fMRI) can provide a more complete view of brain function by merging high temporal and spatial resolutions…

physics.med-ph2026

Multi-Compartment Volume Conductor with Complete Electrode Model: Simulated Stereo-EEG Source Localization using Brainstorm-Zeffiro Plugin

Fernando Galaz Prieto, Takfarinas Medani, Chinmay Chinara +2

This study introduces a novel integration of the Brainstorm (BST) software and the Zeffiro Interface (ZI) to enable whole-head, multi-compartment volume conductor modeling for elec…

eess.SP2025

Informed Bootstrap Augmentation Improves EEG Decoding

Woojae Jeong, Wenhui Cui, Kleanthis Avramidis +3

Electroencephalography (EEG) offers detailed access to neural dynamics but remains constrained by noise and trial-by-trial variability, limiting decoding performance in data-restri…