Publications & Research
16 Peer-Reviewed Items • 42 Citations • 5 h-index • Invited Keynotes & Workshops
A comprehensive record of my scientific publications, open datasets (including Nature Scientific Data and Frontiers in Neuroinformatics), conference posters, and invited keynotes.
14 Journal Articles, 1 Dataset (Nature Scientific Data), 1 Poster
Research cited across neuroscience & neuroinformatics
Research Impact Score: 40.8 on ResearchGate
Conference keynotes, technical workshops & ABDN lectures
Peer-Reviewed Publications & Research Items (16)
Who Owns African Brain Data? Reclaiming Control, Value, and Responsibility in Africa’s Brain Data Future
Damian Eke, Olivia P Matshabane, Alfred K Njamnshi, Amadi O Ihunwo, Patrick Leo Filima, et al.
Frontiers in Neuroinformatics / ABDN Initiative
CURE Neuroscience Collaboration across the Atlantic: Bridging the Atlantic with Undergraduate Research and Cloud Computing (Analysis of Brain Volumetric Differences in ADHD)
Abdularahman Aljifareri, Khadija Alrabiey, Nathaniel Brownlee, Franco Delogu, Patrick Leo Filima, et al.
Neuroscience Society of Nigeria Annual Conference
Application of Linear Anthropometric Parameters in Estimating Stature: A Study of Adult Igbo Population in Nigeria
Faustina Chiamaka Irozulike, Doris K. Ogbuokiri, Tobi Boma Selekekeme, Amobichukwu Ezeorachi, Patrick Leo Filima, et al.
Journal of Anthropometric Research
A labeled Clinical-MRI dataset of Nigerian brains
Eberechi Wogu, Patrick Leo Filima, Brad Caron, Franco Pestilli, et al.
Scientific Data (Nature Portfolio), dx.doi:2211.04425(v1)
FAIR African brain data: challenges and opportunities
Eberechi Wogu, George Inyila Ogoh, Patrick Leo Filima, Damian Eke, et al.
Frontiers in Neuroinformatics
Anthropometric Health Assessment of the Igbo Ethnic Group in Nigeria: A Study of BMI and Waist-to-Hip Ratio
Faustina Chiamaka Irozulike, Jervas Ekezie, Kelechi Peace Godson, Patrick Leo Filima, et al.
Asian Journal of Medical Principles and Clinical Practice
Assessment of Earlobe Patterns and Ear Shapes in Hausa Ethnic Group of Nigeria: Implications for Forensic and Clinical Applications
Faustina Chiamaka Irozulike, Gospel Uchechukwu Collins, Nwofor Priscilla Nkechinyere, Tobi Boma Selekekeme, Patrick Leo Filima, et al.
Journal of Forensic & Clinical Research
Anthropometric Analysis of Cephalic Index in Orlu Population of Imo State, Nigeria
Faustina Chiamaka Irozulike, Patrick Leo Filima, Joy Wilberforce Ekokodje, Nicholas Asiwe, et al.
Journal of Anthropometry
Knowledge, Attitudes, and Perceptions of Cesarean Section Among Women in Delta State, Nigeria: Implications for Maternal Health Interventions
Rosemary Ewere Iwegbu, Faustina Chiamaka Irozulike, Nicholas Asiwe, Patrick Leo Filima, et al.
Journal of Maternal Health
Thalamic Nuclei Morphometry and Handedness: Assessing Grey Matter Volume Differences in Left- and Right-Dominant Individuals
Eberechi Wogu, Patrick Leo Filima
Nigerian Journal of Neuroscience, 15(1):22-27
Discriminant and Multiple Linear Regression Analysis for Sex and Stature Estimation Using Upper Arm and Forearm-Hand Length: A Study among Mgbidi Population of Imo State Nigeria
Nicholas Asiwe, Oghenefego Michael Adheke, Ikechukwu Ezeah, Victor Buseni, Patrick Leo Filima, et al.
Asian Journal of Medical Principles and Clinical Practice
Anthropometric Estimation of Biological Parameters in Nigerian Sub-Populations
Nicholas Asiwe, Oghenefego Michael Adheke, Ikechukwu Ezeah, Victor Buseni, Patrick Leo Filima, et al.
Asian Journal of Medical Principles and Clinical Practice
Comparative Morphometric Analysis of Physical Attributes in Nigerian Sub-Populations
Faustina Chiamaka Irozulike, Patrick Leo Filima, Joy Wilberforce Ekokodje, Nicholas Asiwe, et al.
Asian Journal of Medical Principles and Clinical Practice
Prevalence of Dysmenorrhea and its Management among Undergraduate Students of the University of Port Harcourt, Nigeria
Faustina Chiamaka Irozulike, Nicholas Asiwe, Joy Wilberforce Ekokodje, Patrick Leo Filima, et al.
Asian Journal of Advanced Research and Reports
Pattern of Earlobe Attachment among Igbo Ethnic Group of Nigeria
Nicholas Asiwe, Faustina Chiamaka Irozulike, Patrick Leo Filima, Bariereyiga Nadum Yirate, et al.
Asian Journal of Advanced Research and Reports
Neuroprotective effect of aqueous extract of xylopia aethiopica seed on lead-induced injury on the hippocampus and cerebral cortex of male wistar rat
S. George, Patrick Leo Filima, Lekpa Kingdom David, Chinna Orish
IBRO Reports
Invited Talks, Keynotes & Workshops
2026EEG Monitoring, Live Neurofeedback & Brain-Computer Interfaces (BCI) in Low-Resource Settings
Brain Awareness Week (BAW 2026) — African Neurodata Research Lab (ANR Lab)
Delivered an invited keynote presentation and live neuro-signal demonstration on EEG monitoring, real-time neurofeedback, and translating Brain-Computer Interface (BCI) devices for neuroimaging and digital healthcare in Sub-Saharan Africa.
2025Python for Neuroimaging Data Analysis: Loading, Inspecting & Visualizing MRI Data
African Brain Data Network (ABDN) Workshop — Lagos 2025
Practical training for African Brain Data Network participants on loading NIfTI neuroimaging data using Nibabel, inspecting multi-dimensional MRI arrays with NumPy, and building interactive visualization strategies.
2024Introduction to Scientific Python for Neuroimaging Workflows
African Brain Data Network (ABDN) Workshop — Kenya 2024
Technical instruction delivered to ABDN participants in Kenya on foundational Python programming, scientific computing libraries, and automating computational neuroimaging pipelines.
2024Software Tools in Neuroimaging
ABDN Brain Awareness Week 2024 — Ignatius Ajuru University of Education
Delivered an invited presentation under the theme "Redefining Possibilities: Empowering African Youths in Neuroimaging Research" to Computer Science students and faculty on modern neuroimaging software tools.
2024African Brain Data Infrastructure & FAIR Principles: Built for Rigor, Ready for Reuse
African Brain Data Network (ABDN) Regional Symposium
Presented key strategies for building African brain data repositories adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable), BIDS standards, and robust data governance.
Ongoing Research Initiatives
Active neuroimaging, clinical assessment, and cross-cultural studies
African Brain MRI AI Research Ecosystem
A Multi-Project Research Program for Robust, Explainable & Clinically Validated AI in African Neuroimaging
Documents the architecture, relationships, and 7-phase development roadmap of an interconnected research ecosystem—building standardized African MRI infrastructure, Bayesian morphometry, cross-hospital validation, and DeepAccess-MRI.
Data-Centric AI: Evaluating MRI Preprocessing on Low-Field African Brain MRI
A Multi-Center Factorial Study of Preprocessing Impact on Model Robustness, Calibration, and Explainability
Systematically investigating whether data-centric preprocessing optimizations (Pipelines A through G) yield greater classification gains, calibration (ECE), and out-of-hospital generalization than increasing model complexity across 225 patients from 3 Nigerian hospitals (LifeBridge, UPTH, RSUTH).
Explainability & Clinical Plausibility of Deep Learning on Low-Field African Brain MRI
Evaluating Anatomical Attention vs. Shortcut Learning across Low-Field Scanners with Neuroradiology Expert Auditing
Auditing whether deep learning models base decisions on medically plausible neuroanatomy or spurious imaging artifacts using a panel of expert neuroradiologists, 5-point Likert scoring rubrics, and quantitative anatomical overlap (IoU).
African Clinical Brain MRI Benchmark (Afri-Brain-Bench)
A Standardized Benchmark Ecosystem for Evaluating AI Generalization, Calibration, and Explainability on African Clinical Scans
Introducing Afri-Brain-Bench—a standardized multi-center benchmark dataset of 225 clinical MRI examinations across 3 Nigerian hospitals providing 7 standardized evaluation tasks, cross-hospital splits, ECE calibration scoring, and Grad-CAM spatial ROI auditing.
Quantifying Clinical MRI Quality Effects on Deep Learning Performance
Treating Real-World Image Quality Degradation as a Continuous Independent Variable to Define AI Safety Boundaries
Core Clinical Question: "When MRI quality degrades, how reliable do AI diagnostic systems remain?" Systematically measuring sharpness, SNR, CNR, entropy, and motion blur as continuous independent variables to establish safe operational deployment thresholds.
DeepAccess-MRI: AI-Assisted MRI Protocol Optimization
Clinically Validated Missing Sequence Reconstruction for Shorter, Affordable Neuroimaging Protocols in Sub-Saharan Africa
Developing and validating a transfer-learning framework that synthesizes missing structural MRI sequences (e.g. T1 $\rightarrow$ FLAIR) from heterogeneous Nigerian clinical scans, enabling shorter, non-inferior acquisition protocols without compromising diagnostic confidence.
GLM vs. Deep Learning Behavior in Small-Sample Task-Based fMRI of Cognitive Control
A Controlled Methodological Study of Predictive Generalization, Overfitting Dynamics, and Spatial Representation Alignment
Investigating model behavior under small-sample fMRI conditions (NYU Slow Flanker task, N=26) to compare classical General Linear Models (GLM) and deep learning architectures across cross-subject generalization, statistical stability, and spatial correspondence (Pearson r / Dice).
Beyond Research-Grade MRI: AI Robustness on a Nigerian Clinical Brain MRI Dataset
A Methodological Study of AI Robustness, Calibration, and Explainability under Real-World MRI Quality Constraints
Systematically characterizing AI model robustness, calibration error (ECE), and salience map stability across 4 progressive physical degradations (Gaussian blur, Rician noise, slice downsampling, and motion ringing) on an 88-subject Nigerian clinical MRI dataset (787 scans).
Volumetric Assessment of Individual Thalamic Nuclei in Nigerian Parkinson's Disease Patients
In-depth volumetric analysis of specific thalamic nuclei to establish structural biomarkers for neurodegenerative disease progression.
Screen Time & Social Connection: Cross-Cultural Study (Germany & Nigeria)
Investigating how digital interaction patterns and screen time affect social relationships across distinct cultural environments.