Fantastic work by all the students that presented at the 2024 College of Engineering Research Open House.

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.

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.

Searching for undergraduate students, graduate students, and postdoctoral fellows interested in AI and medical imaging.