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.

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.