David Wood
Computer Science · The Ohio State University
Publications
221
Citations
20,707
Est. group size
~3
Recurring co-author estimate
Active years
59
Publishing since 1968
This publication record appears to combine work from multiple distinct researchers sharing the name David Wood, spanning topics from AI-based brain MRI analysis and neuroradiology to cardiology, tree growth modeling, language teaching, and literary studies. The most consistent and recent cluster of work involves applying machine learning and deep learning methods to detect abnormalities and predict outcomes from brain imaging, often in multicenter clinical studies. Because the bibliographic data mixes unrelated fields, prospective students should verify which specific research thread and institutional affiliation corresponds to the David Wood they are interested in.
Publication output has grown over the last decade, rising from around 5 papers per year in 2017-2019 to a peak of 13 in 2024, suggesting increasing research activity in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Growth projections for trees, hedges, and tree groups
2026
- Proactive Management and Treatment of Aortic Stenosis
Journal of the American College of Cardiology · 2025
- Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study)
Radiology Artificial Intelligence · 2025
- Brain-age in ultra-low-field MRI: how well does it work?
medRxiv · 2025
- Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
The Royal College of Radiologists Open · 2025
- Hospital-specific domain adaptation improves BERT-based models’ ability to classify neuroradiology reports
The Royal College of Radiologists Open · 2025
- Fin de siglo, fin de empirio: La sátira como respuesta a la reorientación nacional en Buscapíes por José Martínez Ruiz (Azorín)
2025
- 277. A LONG NONCODING ERNA FORMS R-LOOPS TO SHAPE EMOTIONAL EXPERIENCE-INDUCED BEHAVIORAL ADAPTATION
The International Journal of Neuropsychopharmacology · 2025
- Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting
Human Brain Mapping · 2024
- Glioblastoma and radiotherapy: A multicenter AI study for Survival Predictions from MRI (GRASP study)
Neuro-Oncology · 2024
- Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review
Clinical Neuroradiology · 2024
- Stable Synchronous Propagation of Signals by Feedforward Networks
SIAM Journal on Applied Dynamical Systems · 2024
- A self-supervised text-vision framework for automated brain abnormality detection
arXiv (Cornell University) · 2024
- Automated Brain Abnormality Detection using a Self-Supervised Text-Vision Framework
2024
- NEURO HAND: A weakly supervised Hierarchical Attention Network for interpretable neuroimaging abnormality Detection
2024
- arXiv (Cornell University)×12
- Synthesis lectures on computer architecture×7
- Journal of NeuroInterventional Surgery×2
- Clinical Neuroradiology×2
- Neuro-Oncology×2
- Artem Pelenitsyn
Computer Science · Purdue University West Lafayette
- Anand Raghunathan
Computer Science · Purdue University West Lafayette
- Aamir Shafi
Computer Science · The Ohio State University
- Akash Kumar
Computer Science · Purdue University West Lafayette
- Atanas Rountev
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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