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 accepted to TMI

Wednesday, February 21, 2024
Faizyab's manuscript "LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation" was accepted for publication in IEEE Transactions on Medical Imaging. This work proposes LungViT – a generative adversarial learning approach using hierarchical vision transformers for translating inspiratory CT intensities to corresponding expiratory CT intensities.
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Paper accepted to MICCAI MLMI workshop

Sunday, August 20, 2023
Faizyab's paper "Bridging the Task Barriers: Online Knowledge Distillation Across Tasks for Semi-Supervised Mediastinal Segmentation in CT" was accepted to the MICCAI MLMI workshop. This work uses semi-supervised learning with knowledge distillation to perform mediastinal segmentation in non-contrast CT images.
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Openings in PICV Lab

Tuesday, May 17, 2022
Searching for undergraduate students, graduate students, and postdoctoral fellows interested in AI and medical imaging.