Matthew Sherman Brown

Matthew Sherman Brown is a Professor in the Department of Radiological Sciences at the David Geffen School of Medicine, UCLA. His work bridges medical imaging, artificial intelligence, and clinical translation to advance diagnostic and therapeutic strategies in pulmonary diseases, oncology, and radiology.

• Research Focus: Quantitative CT analysis for lung diseases (e.g., IPF, emphysema), AI-driven medical imaging, image harmonization, and radiomics.
• Grants: NIH R01HL153964 (COPD treatment planning), NIH U01CA181156 (CT response assessment), and NIH R01CA088973 (lung cancer screening).

Recent publications highlight his leadership in integrating deep learning and domain knowledge to develop tools like SimpleMind for explainable AI and CT-Norm for image harmonization. His work on quantitative fissure integrity scores and lung fibrosis progression models has transformed treatment planning in pulmonary conditions.

Clinical Impact: Key contributions to AI adoption in radiology workflows, improving emphysema valve response prediction, and standardizing CT protocols for reproducibility.