David Ballard

David Ballard

Assistant Professor, Radiology

applications of 3D printing in medicine and imaging in perianal Crohn’s disease

Debbie Bennett

Debbie Bennett

Associate Professor of Radiology

Artificial intelligence in breast imaging

Kevin Bennett

Kevin Bennett

Associate Professor, Radiology

Molecular and physiological imaging, Kidney disease, Metabolic disease, Noninvasive imaging biomarkers to detect disease progression

Tammie Benzinger

Tammie Benzinger

Professor of Radiology

Neuroscience, AI and brain imaging in aging and dementia, Alzheimer disease, MRI, and PET

Mikhail Berezin

Mikhail Berezin

Associate Professor of Radiology, Mallinckrodt Institute of Radiology

Optical imaging, hyperspectral imaging, AI assisted digital pathology, peripheral nerve imaging

Janine Bijsterbosch

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

Scott Bugenhagen

Assistant Professor of Radiology

cardiothoracic imaging, computational modeling, and 3D anatomical segmentation

Daniel Castro

Daniel Castro

Assistant Professor, Radiology

Opioids, neural circuits of reward, motivation and affect, metabolism and diabetes

Aisling Chaney

Aisling Chaney

Assistant Professor, Radiology

Translational molecular neuroimaging, PET, CT, MRI, Neuroscience, Neuroinflammation, Neurodegeneration

Aimilia Gastounioti

Aimilia Gastounioti

Assistant Professor, Mallinckrodt Institute of Radiology

Breast imaging, breast cancer, artificial intelligence, big data, precision medicine

Matt Glasser

Matt Glasser

Assistant Professor of Radiology

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

Manu Goyal

Associate Professor of Radiology

Advanced brain imaging, Stroke and cerebrovascular imaging, Brain metabolism, Systems and computational neuroscience

Shinjini Kundu

Shinjini Kundu

Assistant Professor, Radiology

machine learning, image processing, computer vision, magnetic resonance imaging, neuroscience, precision medicine

José Marcio Luna

José Marcio Luna

Assistant Professor, Mallinckrodt Institute of Radiology

Machine learning, data sciences, data integration, optimization theory and computational medical imaging

Daniel Marcus

Daniel Marcus

Professor, Radiology

Applications of AI in medical imaging, Multimodal predictive models, Informatics and data systems to enable translational AI, Data repositories and data sharing

Scott Marek

Scott Marek

Assistant Professor, Mallinckrodt Institute of Radiology

Pediatric neuroimaging, Precision functional mapping of individual brains, Big data & reproducibility

Robert McKinstry

Robert McKinstry

Professor, Mallinckrodt Institute of Radiology

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

Ali Mian

Associate Professor, Radiology

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

Arash Nazeri

Assistant Professor, Department of Radiology

Neurofluid Imaging, Brain Tissue Microstructure Imaging, Computational Neuroimaging, Early Postnatal Brain Development, MRI-Histology Correlation

Cyrus Raji

Cyrus Raji

Associate Professor of Radiology

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