Functional MRI of Auditory Cortex Activated by Multisite Electrical Stimulation of the Cochlea. - François Lazeyras; Colette Boëx; Alain Sigrist; Mohamed L. Seghier; Grégoire Cosendai; François Terrier; Marco Pelizzone (NeuroImage, 2002)

Brain activation using triggered event-related fMRI. - Ivan Zimine; Mohamed L. Seghier; Margitta Seeck; François Lazeyras (NeuroImage, 2003)

Combination of event-related fMRI and diffusion tensor imaging in an infant with perinatal stroke. - Mohamed L. Seghier; François Lazeyras; Slava Zimine; Stephan E. Maier; Sylviane Hanquinet; Jacqueline Delavelle; Joseph J. Volpe; Petra S. Huppi (NeuroImage, 2004)

Portraits or People? Distinct Representations of Face Identity in the Human Visual Cortex. - Gilles Pourtois; Sophie Schwartz; Mohamed L. Seghier; François Lazeyras; Patrik Vuilleumier (J. Cogn. Neurosci., 2005)

Anatomical variability of the lateral frontal lobe surface: implication for intersubject variability in language neuroimaging. - Heike Juch; Ivan Zimine; Mohamed L. Seghier; François Lazeyras; Jean H. D. Fasel (NeuroImage, 2005)

Hemispheric specialization of human inferior temporal cortex during coarse-to-fine and fine-to-coarse analysis of natural visual scenes. - Carole Peyrin; Sophie Schwartz; Mohamed L. Seghier; Christoph M. Michel; Theodor Landis; Patrik Vuilleumier (NeuroImage, 2005)

View-independent coding of face identity in frontal and temporal cortices is modulated by familiarity: an event-related fMRI study. - Gilles Pourtois; Sophie Schwartz; Mohamed L. Seghier; François Lazeyras; Patrik Vuilleumier (NeuroImage, 2005)

Emotion and attention interactions in social cognition: Brain regions involved in processing anger prosody. - David Sander; Didier Grandjean; Gilles Pourtois; Sophie Schwartz; Mohamed L. Seghier; Klaus R. Scherer; Patrik Vuilleumier (NeuroImage, 2005)

The fusiform face area is tuned for curvilinear patterns with more high-contrasted elements in the upper part. - Roberto Caldara; Mohamed L. Seghier; Bruno Rossion; François Lazeyras; Christoph M. Michel; Claude-Alain Hauert (NeuroImage, 2006)

Neural systems for orienting attention to the location of threat signals: An event-related fMRI study. - Gilles Pourtois; Sophie Schwartz; Mohamed L. Seghier; François Lazeyras; Patrik Vuilleumier (NeuroImage, 2006)

Detecting subject-specific activations using fuzzy clustering. - Mohamed L. Seghier; Karl J. Friston; Cathy J. Price (NeuroImage, 2007)

WSPM: Wavelet-based statistical parametric mapping. - Dimitri Van De Ville; Mohamed L. Seghier; François Lazeyras; Thierry Blu; Michael Unser (NeuroImage, 2007)

Inter-subject variability in the use of two different neuronal networks for reading aloud familiar words. - Mohamed L. Seghier; H. L. Lee; Tom M. Schofield; C. L. Ellis; Cathy J. Price (NeuroImage, 2008)

Lesion identification using unified segmentation-normalisation models and fuzzy clustering. - Mohamed L. Seghier; Anil F. Ramlackhansingh; Jennifer T. Crinion; Alexander P. Leff; Cathy J. Price (NeuroImage, 2008)

The Main Sources of Intersubject Variability in Neuronal Activation for Reading Aloud. - Ferath Kherif; Goulven Josse; Mohamed L. Seghier; Cathy J. Price (J. Cogn. Neurosci., 2009)

Dissociating functional brain networks by decoding the between-subject variability. - Mohamed L. Seghier; Cathy J. Price (NeuroImage, 2009)

The Neural Substrates and Timing of Top-Down Processes during Coarse-to-Fine Categorization of Visual Scenes: A Combined fMRI and ERP Study. - Carole Peyrin; Christoph M. Michel; Sophie Schwartz; Gregor Thut; Mohamed L. Seghier; Theodor Landis; Christian Marendaz; Patrik Vuilleumier (J. Cogn. Neurosci., 2010)

Multinomial inference on distributed responses in SPM. - Justin R. Chumbley; Guillaume Flandin; Mohamed L. Seghier; Karl J. Friston (NeuroImage, 2010)

Network discovery with large DCMs. - Mohamed L. Seghier; Karl J. Friston (NeuroImage, 2013)

Distinguishing the effect of lesion load from tract disconnection in the arcuate and uncinate fasciculi. - Thomas M. H. Hope; Mohamed L. Seghier; Susan Prejawa; Alex P. Leff; Cathy J. Price (NeuroImage, 2016)

The PLORAS Database: A data repository for Predicting Language Outcome and Recovery After Stroke. - Mohamed L. Seghier; Elnas Patel; Susan Prejawa; Sue Ramsden; Andre Selmer; Louise Lim; Rachel Browne; Johanna Rae; Zula Haigh; Deborah Ezekiel; Thomas M. H. Hope; Alexander P. Leff; et al. (NeuroImage, 2016)

Ten problems and solutions when predicting individual outcome from lesion site after stroke. - Cathy J. Price; Thomas M. H. Hope; Mohamed L. Seghier (NeuroImage, 2017)

Medical imaging: A new era of precision and holistic imaging. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2019)

Dissociating the functions of superior and inferior parts of the left ventral occipito-temporal cortex during visual word and object processing. - Philipp Ludersdorfer; Cathy J. Price; Keith J. Kawabata Duncan; Kristina DeDuck; Nicholas H. Neufeld; Mohamed L. Seghier (NeuroImage, 2019)

A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI. - Peter Zeidman; Amirhossein Jafarian; Nadège Corbin; Mohamed L. Seghier; Adeel Razi; Cathy J. Price; Karl J. Friston (NeuroImage, 2019)

A guide to group effective connectivity analysis, part 2: Second level analysis with PEB. - Peter Zeidman; Amirhossein Jafarian; Mohamed L. Seghier; Vladimir Litvak; Hayriye Cagnan; Cathy J. Price; Karl J. Friston (NeuroImage, 2019)

The COVID-19 pandemic: What can bioengineers, computer scientists and big data specialists bring to the table. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2020)

An active human role is essential in big data-led decisions and data-intensive science. - Mohamed L. Seghier (F1000Research, 2021)

Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2022)

Demystifying desk rejection: A call to action for our authors. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2022)

It is time to make neuroimaging research data beneficial to the participants. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2022)

Effect of Comorbidities Features in Machine Learning Models for Survival Analysis to Predict Prodromal Alzheimer's Disease. - Ferial AbuHantash; Aamna Al Shehhi; Leontios J. Hadjileontiadis; Mohamed Lamine Seghier (EMBC, 2023)

Image quality assessment for MRI: Is it up to the task? - Mohamed L. Seghier (EUVIP, 2023)

Preparing a successful Special Issue proposal. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2023)

Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2023)

An appraisal of the performance of AI tools for chronic stroke lesion segmentation. - Ramsha Ahmed; Aamna Al Shehhi; Bilal Hassan; Naoufel Werghi; Mohamed L. Seghier (Comput. Biol. Medicine, 2023)

Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals. - Neha Gour; Taimur Hassan; Muhammad Owais; Iyyakutti Iyappan Ganapathi; Pritee Khanna; Mohamed L. Seghier; Naoufel Werghi (Brain Informatics, 2023)

Novel Alzheimer's Disease Stating Based on Comorbidities-Informed Graph Neural Networks. - Ferial AbuHantash; Mohd Khalil Abu Hantash; Roy E. Welsch; Mohamed Lamine Seghier; Leontios J. Hadjileontiadis; Aamna Al Shehhi (EMBC, 2024)

Multivariate Variational Mode Decomposition Improves Dynamic Causal Modeling for FMRI Data. - Charalampos Lamprou; Aamna Alshehhi; Leontios J. Hadjileontiadis; Mohamed L. Seghier (ISBI, 2024)

Noise-Assisted Multivariate Variational Mode Decomposition on fMRI Data for Phase Synchronization Analysis. - Charalampos Lamprou; Leontios J. Hadjileontiadis; Mohamed L. Seghier (ISBI, 2024)

StethoNet: Robust Breast Cancer Mammography Classification Framework. - Charalampos Lamprou; Kyriaki Katsikari; Noora Rahmani; Leontios J. Hadjileontiadis; Mohamed L. Seghier; Aamna Alshehhi (IEEE Access, 2024)

Enhancing claustrophobia exposure therapy: A blockchain and NFT-enabled metaverse approach. - Ahmad Musamih; Khaled Salah 001; Raja Jayaraman; Mohamed L. Seghier; Hamdan Hamdan; Samer Ellahham; Mohammed A. Omar (Comput. Hum. Behav., 2024)

Image Segmentation Evaluation With the Dice Index: Methodological Issues. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2024)

University Rankings Are Hurting Academia in Developing Countries: An Urgent Call to Action. - Mohamed L. Seghier; Habib Zaidi (Int. J. Imaging Syst. Technol., 2024)

DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation. - Maregu Assefa; Muzammal Naseer; Iyyakutti Iyappan Ganapathi; Syed Sadaf Ali; Mohamed L. Seghier; Naoufel Werghi (CVPR, 2025)

Improved Brain Disorder Classification in RS-FMRI via Inter-Individual Variability Characterization: A Self-Supervised Learning Approach. - Charalampos Lamprou; Leontios J. Hadjileontiadis; Aamna Al Shehhi; Mohamed L. Seghier (ISBI, 2025)

Robust fMRI time-varying functional connectivity analysis using multivariate swarm decomposition. - Charalampos Lamprou; Georgios Apostolidis; Aamna Alshehhi; Leontios J. Hadjileontiadis; Mohamed L. Seghier (Neurocomputing, 2025)

Modern Academia: From "Publish or Perish" to "Monetize or Collapse". - Mohamed L. Seghier; Mahmoud Méribout (Int. J. Imaging Syst. Technol., 2025)

AI-powered peer review needs human supervision. - Mohamed L. Seghier (J. Inf. Commun. Ethics Soc., 2025)

Harnessing AI for Comprehensive Reporting of Medical AI Research. - Mohamed L. Seghier (Int. J. Imaging Syst. Technol., 2025)

A Load Invariant and High-Speed IoT-Based Electrical Impedance Tomography System. - Mohamed Elkhalil; Mahmoud Méribout; Varun Kumar Tiwari; Jing Zhong; Mohamed L. Seghier (IEEE Internet Things J., 2025)