about
I am a medical doctor and independent researcher at ML Collective, working at the intersection of medical imaging, artificial intelligence, and computational medicine. My work focuses on building data-efficient and clinically useful learning systems for imaging, especially in resource-constrained environments.
My research interests include medical imaging AI, MRI and low-field MRI, neuroradiology, nuclear medicine, representation learning, foundation models, self-supervised learning, and imaging in underserved populations. In the long term, I hope to contribute to equitable AI systems for medical imaging and precision medicine. See my publications or projects to explore this work.
publications
Region-Aligned Training and Target-Specific 2D--3D nnU-Net Fusion for BraTS 2026 Brain Metastasis Segmentation
A. Mojtahedzadeh, O.I. Akinmuleya, J.O.I. Daniel, M. Adinavi
Improved Neuroanatomy Segmentation and Quality Assurance in Pediatric Ultra-Low-Field MRI
O.I. Akinmuleya, T. Musah
Evaluating the Generalization of Neuroimaging Foundation Models to African Clinical MRI
O.I. Akinmuleya, O.S. Akano, S.D. Ankapong, O. Lawal, T. Musah
MYRA: Multi-domain Hybrid MRI Representation Architecture for Self-Supervised Low-Field MRI
O.I. Akinmuleya, I.K. Koomsan, C.N. Meschack-Augustin, L.N. Shambangu
NeuroAIHub: An AI-Driven Framework for Automated Curation and Discovery of Neuroradiology Datasets
B. Gheiji, S. Moradi, M. Vatanparast, S. Shokrani, M.A. Bagherzadeh, D. Elyassirad, O.I. Akinmuleya, S. Goodarzi, M. Heidari-Foroozan, M. Moassefi, J.D. Rudie, E. Calabrese, R. Jain, S. Faghani
68Ga-PSMA PET/CT/MRI in the Initial Diagnosis and Staging of Prostate Cancer: A Review
O.I. Akinmuleya, P.F. Cohen, K. Kairemo
presentations
Quantifying Amyloid Burden in Alzheimer's Disease: A Reproducible Centiloid Pipeline for Analysis in Resource-Constrained Settings
Alzheimer's Association International Conference (AAIC) · Abstract ID: #4997
Training 105 African Clinicians and Students in Open Neuroimaging Analysis: CAMERA's Dimensional Research Program
International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting
NeuroAI: An AI-Driven Framework for Automated Curation and Discovery of Neuroradiology Datasets
American Society of Neuroradiology (ASNR) Annual Meeting, Philadelphia, USA
The Role of 68Ga-PSMA PET/CT and PET/MRI in the Diagnosis of Primary Prostate Cancer and TNM Staging
International Conference of Hybrid Imaging, International Atomic Energy Agency (IAEA), Vienna
projects
In-hospital Mortality Prediction
End-to-end ML pipeline predicting in-hospital mortality, with a Streamlit app deployed on Google Cloud, CI/CD via GitHub Actions, and live model monitoring using Evidently AI and Grafana.
Computer Vision Projects
A collection of computer vision work: a real-time face recognition system (MTCNN + InceptionResnetV1) and a medical imaging model for polyp detection in gastrointestinal images, fine-tuned on YOLOv11 to assist early diagnosis.
Logos
An end-to-end RAG application for scripture-based Q&A, with an evaluation pipeline comparing keyword, vector, and hybrid search using hit rate and MRR for retrieval optimization.
Data Analyst AI Agent
An AI-powered data analyst agent that performs automated data exploration, visualization, and analysis from natural-language queries, built with LangGraph to interpret requests and generate insights.
LLM Finetuning
Fine-tuned Meta's LLaMA 3 on a medical QA dataset for stronger clinical and diagnostic accuracy, using Unsloth to accelerate training and LoRA / PEFT to cut compute and memory cost.
news
| September 2026 | Our paper, Evaluating the Generalization of Neuroimaging Foundation Models to African Clinical MRI, won the Best Paper Award at AFRICAI 2026, a MICCAI satellite event. Congratulations to the team! |
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| August 2026 | Our paper, MYRA: Multi-domain Hybrid MRI Representation Architecture for Self-Supervised Low-Field MRI, was accepted at the MIRASOL 2026 MICCAI satellite event. Congratulations to the team! |
| August 2026 | Our paper, Evaluating the Generalization of Neuroimaging Foundation Models to African Clinical MRI, was accepted at AFRICAI 2026, a MICCAI satellite event. Congratulations to the team! |
| August 2026 | Our paper, Improved Neuroanatomy Segmentation and Quality Assurance in Pediatric Ultra-Low-Field MRI, was accepted at the MICCAI LISA Challenge 2026. Congratulations to the team! |
| August 2026 | A paper I contributed to, Region-Aligned Training and Target-Specific 2D–3D nnU-Net Fusion for BraTS 2026 Brain Metastasis Segmentation, was accepted at the BraTS 2026 workshop. Congratulations to the team! |
| July 2026 | Our work, Quantifying Amyloid Burden in Alzheimer’s Disease: A Reproducible Centiloid Pipeline for Analysis in Resource-Constrained Settings, was presented at the Alzheimer’s Association International Conference (AAIC). |
| May 2026 | Welcome to my personal website. I will share updates, publications, and selected work here. |
| May 2026 | Our work, Training 105 African Clinicians and Students in Open Neuroimaging Analysis: CAMERA’s Dimensional Research Program, was presented at the International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting. |
contact
I’m always open to conversations and collaborations around medical imaging, artificial intelligence, and computational medicine. Whether you’re interested in discussing research, exploring a potential collaboration, or simply exchanging ideas at the intersection of technology and healthcare, feel free to get in touch.