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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
One-page paper accepted at IEEE EMBC 2026
Published:
Our one-page paper on EEG-based machine-learning biomarkers in SYNGAP1 rodent models was accepted at IEEE EMBC 2026. I’ll present the poster in Toronto, Canada in July.
Heading to Cambridge for the FENS-Chen Summer Program
Published:
Next week I’ll be at the University of Cambridge for the 2026 FENS-Chen Institute Summer Program on AI-Accelerated Neuroscience Discovery and Translation (12-18 July 2026).
Starting as a part-time Research Assistant at NeuroCreate
Published:
Starting this month, I’m joining NeuroCreate as a part-time Research Assistant, alongside my PhD.
Completed my first-year PhD progression review
Published:
I submitted my PGR Annual Progression Review, summarising my first year of PhD work on AI-driven EEG biomarkers for SYNGAP1-related disorder, including preliminary results from the rat model.
1st place in Task 1 of the HNTS-MRG24 MICCAI Challenge
Published:
Our team (“TUMOR”) achieved 1st place in Task 1 (pre-radiotherapy segmentation) of the HNTS-MRG24 MICCAI Challenge, held in conjunction with MICCAI 2024 in Marrakesh. See the project page and publication for more details.
portfolio
EEG Biomarker Analysis for Alzheimer’s Disease
Published:
Investigating Phase Locking Value and phase-amplitude coupling during olfactory stimulation as EEG biomarkers for Alzheimer’s Disease.
EEG Signal Analysis for Pattern Recognition
Published:
Classifying emotional responses to VR movies from EEG signals, using evolutionary feature selection and MLP/RBF neural networks.
Privacy-Preserving Machine Learning
Published:
Implementing the SISA algorithm to improve model security and accuracy while addressing Machine Unlearning.
HNTS-MRG24 MICCAI Challenge - 1st Place, Task 1
Published:
Head and neck tumor segmentation in MRI-guided radiotherapy, using nnUNet and MedNeXt with multi-level ensembling. 1st place, Task 1 (pre-radiotherapy segmentation).
publications
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
Published in HNTS-MRG 2024 Challenge Proceedings (Springer LNCS), 2025
Our team TUMOR’s solution to the HNTS-MRG24 MICCAI Challenge, comparing nnUNet and MedNeXt for tumor segmentation.
Recommended citation: N. Moradi, A. Ferreira, B. Puladi, J. Kleesiek, E. Fatemizadeh, G. Luijten, V. Alves, J. Egger. "Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy." arXiv preprint, 2024.
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VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation
Published in arXiv preprint, 2026
A low-cost diffusion model for translating between medical imaging modalities.
Recommended citation: N. Moradi, G. Luijten, B. Puladi, J. Kleesiek, V. Alves, J. Egger, A. Ferreira. "VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation." arXiv preprint, 2026.
Download Paper
talks
Brains in the Making: Shaping How We See Epilepsy
Published:
Delivered a workshop for Brain Awareness Week, to secondary school pupils. The session combined neuroscience with hands-on activities, including building brain structures using Play-Doh.
Poster Presentation at MI4H Conference
Published:
Presented a poster at the MI4H (Machine Intelligence for Health) conference.
FENS-Chen Institute Summer Program on AI-Accelerated Neuroscience Discovery and Translation
Published:
Admitted to attend the 2026 FENS-Chen Institute Summer Program on AI-Accelerated Neuroscience Discovery and Translation, covering Cognitive Computational Neuroscience, AI in Neuroscience, Neurotechnology, and Translation of AI for brain and mental health.
Poster Presentation: Machine Learning EEG Biomarkers in SYNGAP1 Rodent Models
Published:
Presenting a poster on EEG-based machine-learning biomarkers for SYNGAP1-related disorder at the IEEE Engineering in Medicine and Biology Conference (EMBC) 2026 (subject to visa approval).