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ORCIDMohamed L. Seghier
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Journal Articles
- 2025
[j41]Charalampos Lamprou, Georgios Apostolidis, Aamna Alshehhi, Leontios J. Hadjileontiadis
, Mohamed L. Seghier:
Robust fMRI time-varying functional connectivity analysis using multivariate swarm decomposition. Neurocomputing 642: 130404 (2025)- [j40]Mohamed L. Seghier:
Harnessing AI for Comprehensive Reporting of Medical AI Research. Int. J. Imaging Syst. Technol. 35(2) (2025) - [j39]Mohamed L. Seghier:
AI-powered peer review needs human supervision. J. Inf. Commun. Ethics Soc. 23(1): 104-116 (2025) - 2024
- [j38]Charalampos Lamprou, Kyriaki Katsikari, Noora Rahmani, Leontios J. Hadjileontiadis, Mohamed L. Seghier, Aamna Alshehhi:
StethoNet: Robust Breast Cancer Mammography Classification Framework. IEEE Access 12: 144890-144904 (2024) - [j37]Ahmad Musamih, Khaled Salah, Raja Jayaraman, Mohamed L. Seghier, Hamdan Hamdan, Samer Ellahham, Mohammed A. Omar:
Enhancing claustrophobia exposure therapy: A blockchain and NFT-enabled metaverse approach. Comput. Hum. Behav. 160: 108364 (2024) - [j36]Mohamed L. Seghier, Habib Zaidi:
University Rankings Are Hurting Academia in Developing Countries: An Urgent Call to Action. Int. J. Imaging Syst. Technol. 34(4) (2024) - [j35]Mohamed L. Seghier:
Image Segmentation Evaluation With the Dice Index: Methodological Issues. Int. J. Imaging Syst. Technol. 34(6) (2024) - 2023
- [j34]Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier, Naoufel Werghi:
Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals. Brain Informatics 10(1): 25 (2023) - [j33]Ramsha Ahmed, Aamna Al Shehhi, Bilal Hassan, Naoufel Werghi, Mohamed L. Seghier:
An appraisal of the performance of AI tools for chronic stroke lesion segmentation. Comput. Biol. Medicine 164: 107302 (2023) - [j32]Mohamed L. Seghier:
Preparing a successful Special Issue proposal. Int. J. Imaging Syst. Technol. 33(1): 3-5 (2023) - [j31]Mohamed L. Seghier:
Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language. Int. J. Imaging Syst. Technol. 33(3): 773-775 (2023) - 2022
- [j30]Mohamed L. Seghier:
Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data. Int. J. Imaging Syst. Technol. 32(1): 5-11 (2022) - [j29]Mohamed L. Seghier:
Demystifying desk rejection: A call to action for our authors. Int. J. Imaging Syst. Technol. 32(3): 701-703 (2022) - [j28]Mohamed L. Seghier:
It is time to make neuroimaging research data beneficial to the participants. Int. J. Imaging Syst. Technol. 32(6): 1819-1821 (2022) - 2020
- [j27]Mohamed L. Seghier:
The COVID-19 pandemic: What can bioengineers, computer scientists and big data specialists bring to the table. Int. J. Imaging Syst. Technol. 30(3): 511-512 (2020) - 2019
- [j26]Mohamed L. Seghier:
Medical imaging: A new era of precision and holistic imaging. Int. J. Imaging Syst. Technol. 29(1): 3 (2019) - [j25]Philipp Ludersdorfer, Cathy J. Price, Keith J. Kawabata Duncan, Kristina DeDuck, Nicholas H. Neufeld, Mohamed L. Seghier:
Dissociating the functions of superior and inferior parts of the left ventral occipito-temporal cortex during visual word and object processing. NeuroImage 199: 325-335 (2019) - [j24]Peter Zeidman, Amirhossein Jafarian, Mohamed L. Seghier, Vladimir Litvak, Hayriye Cagnan, Cathy J. Price, Karl J. Friston:
A guide to group effective connectivity analysis, part 2: Second level analysis with PEB. NeuroImage 200: 12-25 (2019) - [j23]Peter Zeidman, Amirhossein Jafarian, Nadège Corbin, Mohamed L. Seghier, Adeel Razi, Cathy J. Price, Karl J. Friston:
A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI. NeuroImage 200: 174-190 (2019) - 2017
- [j22]Cathy J. Price, Thomas M. H. Hope, Mohamed L. Seghier:
Ten problems and solutions when predicting individual outcome from lesion site after stroke. NeuroImage 145: 200-208 (2017) - 2016
- [j21]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, Cathy J. Price:
The PLORAS Database: A data repository for Predicting Language Outcome and Recovery After Stroke. NeuroImage 124: 1208-1212 (2016) - [j20]Thomas M. H. Hope, Mohamed L. Seghier, Susan Prejawa, Alex P. Leff, Cathy J. Price:
Distinguishing the effect of lesion load from tract disconnection in the arcuate and uncinate fasciculi. NeuroImage 125: 1169-1173 (2016) - 2013
- [j19]Mohamed L. Seghier, Karl J. Friston:
Network discovery with large DCMs. NeuroImage 68: 181-191 (2013) - 2010
- [j18]Carole Peyrin, Christoph M. Michel, Sophie Schwartz, Gregor Thut, Mohamed L. Seghier, Theodor Landis, Christian Marendaz, Patrik Vuilleumier:
The Neural Substrates and Timing of Top-Down Processes during Coarse-to-Fine Categorization of Visual Scenes: A Combined fMRI and ERP Study. J. Cogn. Neurosci. 22(12): 2768-2780 (2010) - [j17]Justin R. Chumbley, Guillaume Flandin, Mohamed L. Seghier, Karl J. Friston:
Multinomial inference on distributed responses in SPM. NeuroImage 53(1): 161-170 (2010) - 2009
- [j16]Ferath Kherif, Goulven Josse, Mohamed L. Seghier, Cathy J. Price:
The Main Sources of Intersubject Variability in Neuronal Activation for Reading Aloud. J. Cogn. Neurosci. 21(4): 654-668 (2009) - [j15]Mohamed L. Seghier, Cathy J. Price:
Dissociating functional brain networks by decoding the between-subject variability. NeuroImage 45(2): 349-359 (2009) - 2008
- [j14]Mohamed L. Seghier, Anil F. Ramlackhansingh, Jennifer T. Crinion, Alexander P. Leff, Cathy J. Price:
Lesion identification using unified segmentation-normalisation models and fuzzy clustering. NeuroImage 41(4): 1253-1266 (2008) - [j13]Mohamed L. Seghier, H. L. Lee, Tom M. Schofield, C. L. Ellis, Cathy J. Price:
Inter-subject variability in the use of two different neuronal networks for reading aloud familiar words. NeuroImage 42(3): 1226-1236 (2008) - 2007
- [j12]Mohamed L. Seghier, Karl J. Friston, Cathy J. Price:
Detecting subject-specific activations using fuzzy clustering. NeuroImage 36(3): 594-605 (2007) - [j11]Dimitri Van De Ville, Mohamed L. Seghier, François Lazeyras, Thierry Blu, Michael Unser:
WSPM: Wavelet-based statistical parametric mapping. NeuroImage 37(4): 1205-1217 (2007) - 2006
- [j10]Roberto Caldara, Mohamed L. Seghier, Bruno Rossion, François Lazeyras, Christoph M. Michel, Claude-Alain Hauert:
The fusiform face area is tuned for curvilinear patterns with more high-contrasted elements in the upper part. NeuroImage 31(1): 313-319 (2006) - [j9]Gilles Pourtois, Sophie Schwartz, Mohamed L. Seghier, François Lazeyras, Patrik Vuilleumier:
Neural systems for orienting attention to the location of threat signals: An event-related fMRI study. NeuroImage 31(2): 920-933 (2006) - 2005
- [j8]Gilles Pourtois, Sophie Schwartz, Mohamed L. Seghier, François Lazeyras, Patrik Vuilleumier:
Portraits or People? Distinct Representations of Face Identity in the Human Visual Cortex. J. Cogn. Neurosci. 17(7): 1043-1057 (2005) - [j7]Heike Juch, Ivan Zimine, Mohamed L. Seghier, François Lazeyras, Jean H. D. Fasel:
Anatomical variability of the lateral frontal lobe surface: implication for intersubject variability in language neuroimaging. NeuroImage 24(2): 504-514 (2005) - [j6]Gilles Pourtois, Sophie Schwartz, Mohamed L. Seghier, François Lazeyras, Patrik Vuilleumier:
View-independent coding of face identity in frontal and temporal cortices is modulated by familiarity: an event-related fMRI study. NeuroImage 24(4): 1214-1224 (2005) - [j5]Carole Peyrin, Sophie Schwartz, Mohamed L. Seghier, Christoph M. Michel, Theodor Landis, Patrik Vuilleumier:
Hemispheric specialization of human inferior temporal cortex during coarse-to-fine and fine-to-coarse analysis of natural visual scenes. NeuroImage 28(2): 464-473 (2005) - [j4]David Sander, Didier Grandjean, Gilles Pourtois, Sophie Schwartz, Mohamed L. Seghier, Klaus R. Scherer, Patrik Vuilleumier:
Emotion and attention interactions in social cognition: Brain regions involved in processing anger prosody. NeuroImage 28(4): 848-858 (2005) - 2004
- [j3]Mohamed L. Seghier, François Lazeyras, Slava Zimine, Stephan E. Maier, Sylviane Hanquinet, Jacqueline Delavelle, Joseph J. Volpe, Petra S. Huppi:
Combination of event-related fMRI and diffusion tensor imaging in an infant with perinatal stroke. NeuroImage 21(1): 463-472 (2004) - 2003
- [j2]Ivan Zimine, Mohamed L. Seghier, Margitta Seeck, François Lazeyras:
Brain activation using triggered event-related fMRI. NeuroImage 18(2): 410-415 (2003) - 2002
- [j1]François Lazeyras, Colette Boëx, Alain Sigrist, Mohamed L. Seghier, Grégoire Cosendai, François Terrier, Marco Pelizzone:
Functional MRI of Auditory Cortex Activated by Multisite Electrical Stimulation of the Cochlea. NeuroImage 17(2): 1010-1017 (2002)
Conference and Workshop Papers
- 2025
- [c6]Charalampos Lamprou, Leontios J. Hadjileontiadis, Aamna Al Shehhi, Mohamed L. Seghier:
Improved Brain Disorder Classification in RS-FMRI via Inter-Individual Variability Characterization: A Self-Supervised Learning Approach. ISBI 2025: 1-5 - 2024
- [c5]Ferial AbuHantash, Mohd Khalil Abu Hantash, Roy E. Welsch, Mohamed Lamine Seghier, Leontios J. Hadjileontiadis, Aamna Al Shehhi:
Novel Alzheimer's Disease Stating Based on Comorbidities-Informed Graph Neural Networks. EMBC 2024: 1-4 - [c4]Charalampos Lamprou, Aamna Alshehhi, Leontios J. Hadjileontiadis, Mohamed L. Seghier:
Multivariate Variational Mode Decomposition Improves Dynamic Causal Modeling for FMRI Data. ISBI 2024: 1-5 - [c3]Charalampos Lamprou, Leontios J. Hadjileontiadis, Mohamed L. Seghier:
Noise-Assisted Multivariate Variational Mode Decomposition on fMRI Data for Phase Synchronization Analysis. ISBI 2024: 1-4 - 2023
- [c2]Ferial AbuHantash, Aamna Al Shehhi, Leontios J. Hadjileontiadis, Mohamed Lamine Seghier:
Effect of Comorbidities Features in Machine Learning Models for Survival Analysis to Predict Prodromal Alzheimer's Disease. EMBC 2023: 1-4 - [c1]Mohamed L. Seghier:
Image quality assessment for MRI: Is it up to the task? EUVIP 2023: 1-8
Informal and Other Publications
- 2025
- [i2]Maregu Assefa, Muzammal Naseer, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Mohamed L. Seghier, Naoufel Werghi:
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2504.04566 (2025) - 2021
- [i1]Mohamed L. Seghier:
An active human role is essential in big data-led decisions and data-intensive science. F1000Research 10: 1127 (2021)
Coauthor Index
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last updated on 2025-06-02 02:38 CEST by the dblp team
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