Mission

The research mission of the Pulmonary Imaging and Computer Vision (PICV) Lab is to develop innovative artificial intelligence (AI) techniques for multimodal medical image processing to characterize physiological structure-function relationships. Specifically we specialize in studying pulmonary diseases using computed tomography (CT), dual-energy CT (DECT), photon-counting CT, and hyper-polarized gas magnetic resonance imaging (HG-MRI).

News

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Paper and Presentation at MICCAI TIA workshop

Thursday, October 1, 2026
Raisa Hossain's paper "Pulmonary Artery-to-Aorta Ratio Estimation via Landmark-Guided Orthogonal Slicing" was accepted to the MICCAI Thoracic Image Analysis (TIA) 2026 workshop.
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Fall Undergraduate Research Festival

Thursday, November 20, 2025
Delaney Sondgeroth presented her research at the Fall Undergraduate Research Festival (FURF).
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Paper accepted and presented at ISBI 2025

Monday, July 7, 2025
Partho Ghosh's paper "Multimodal Learning for Lung Segmentation: Enhancing UTE MRI Segmentation with CT Datasets" was published in the 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) proceeders. Partho presented the work at the ISBI conference in Houston, Texas.