Radiology

David Ballard
Assistant Professor, Radiology
- Email: davidballard@wustl.edu
applications of 3D printing in medicine and imaging in perianal Crohn’s disease

Debbie Bennett
Associate Professor of Radiology
- Email: debbie.bennett@wustl.edu
Artificial intelligence in breast imaging

Kevin Bennett
Associate Professor, Radiology
- Email: kmbennett@wustl.edu
Molecular and physiological imaging, Kidney disease, Metabolic disease, Noninvasive imaging biomarkers to detect disease progression

Tammie Benzinger
Professor of Radiology
- Email: benzingert@wustl.edu
Neuroscience, AI and brain imaging in aging and dementia, Alzheimer disease, MRI, and PET

Mikhail Berezin
Associate Professor of Radiology, Mallinckrodt Institute of Radiology
- Email: berezinm@wustl.edu
Optical imaging, hyperspectral imaging, AI assisted digital pathology, peripheral nerve imaging

Janine Bijsterbosch
Assistant Professor, Radiology
computational neuroimaging approaches and leverages epidemiological datasets to identify brain markers of mental health and to elucidate principles of functional brain organization

Scott Bugenhagen
Assistant Professor of Radiology
- Email: sbugenhagen@wustl.edu
cardiothoracic imaging, computational modeling, and 3D anatomical segmentation

Daniel Castro
Assistant Professor, Radiology
- Email: castro.d@wustl.edu
Opioids, neural circuits of reward, motivation and affect, metabolism and diabetes

Aisling Chaney
Assistant Professor, Radiology
- Email: achaney@wustl.edu
Translational molecular neuroimaging, PET, CT, MRI, Neuroscience, Neuroinflammation, Neurodegeneration

Aimilia Gastounioti
Assistant Professor, Mallinckrodt Institute of Radiology
- Email: a.gastounioti@wustl.edu
Breast imaging, breast cancer, artificial intelligence, big data, precision medicine

Matt Glasser
Assistant Professor of Radiology
- Email: glasserm@wustl.edu
Imaging neuroanatomy and brain imaging methods development. I have been a part of the Human Connectome Project since its inception and have used multi-modal HCP MRI data to map the cortical areas of the human brain. Recent work includes using machine learning and deep learning to classify independent component analysis (ICA) components into signal and artifact categories, prediction of individual brain area locations based on multi-modalities, and image registration

Manu Goyal
Associate Professor of Radiology
- Email: goyalm@wustl.edu
Advanced brain imaging, Stroke and cerebrovascular imaging, Brain metabolism, Systems and computational neuroscience

Shinjini Kundu
Assistant Professor, Radiology
- Email: kundu@wustl.edu
machine learning, image processing, computer vision, magnetic resonance imaging, neuroscience, precision medicine

José Marcio Luna
Assistant Professor, Mallinckrodt Institute of Radiology
- Email: jose.luna@wustl.edu
Machine learning, data sciences, data integration, optimization theory and computational medical imaging

Daniel Marcus
Professor, Radiology
- Email: dmarcus@wustl.edu
Applications of AI in medical imaging, Multimodal predictive models, Informatics and data systems to enable translational AI, Data repositories and data sharing

Scott Marek
Assistant Professor, Mallinckrodt Institute of Radiology
- Email: smarek@wustl.edu
Pediatric neuroimaging, Precision functional mapping of individual brains, Big data & reproducibility

Robert McKinstry
Professor, Mallinckrodt Institute of Radiology
- Email: mckinstryb@wustl.edu
Advanced neuro MRI methods, Imaging of develoing brain, Dose reduction in neuro computed tomography, MRI of normal brain development, MRI of neurodevelopmental disorders including austism and Down syndrome, MRI of injury to the developing brain

Ali Mian
Associate Professor, Radiology
- Email: alimian@wustl.edu
Artificial intelligence applications in Pediatric Neuro-imaging, Pediatric Neuro-Oncology, Epilepsy and functional imaging, Hypoxic Injury in Neonates, Demyelinating syndromes, Congenital neurologic anomalies, Pediatric cutaneous and CNS vascular syndromes

Arash Nazeri
Assistant Professor, Department of Radiology
- Email: a.nazeri@wustl.edu
Neurofluid Imaging, Brain Tissue Microstructure Imaging, Computational Neuroimaging, Early Postnatal Brain Development, MRI-Histology Correlation

Cyrus Raji
Associate Professor of Radiology
- Email: craji@wustl.edu
Utilizing AI in advanced imaging (AI2) to investigate the intersection of Alzheimer's disease and lifestyle factors on brain health - the structural and physiologic reserve of the central nervous system, utilizing AI vision transformers on multi-organ MR imaging along with multi-tracer PET molecular neuroimaging to study modifiable Alzheimer's risk factors such as obesity on neuroinflammation and neurodegeneration imaging biomarkers, applying AI volumetry to better characterize neurodegeneration in patients with cognitive decline