Project and Position Details
The Advanced Pulmonary Physiomic Imaging Lab is looking for undergraduate students to help with ongoing research at the interface of medical imaging and AI. The main tasks revolve around experimentation with hyperparameters and other settings in a given deep learning pipeline, developed in pytorch lightning/ MONAI. A baseline U-Net architecture is used as a reference for comparison, and some light development around it might be needed. Familiarity with Python and Deep Learning will be considered advantages. The segmentations from the deep learning pipeline are later used for downstream 3D visualization and shape analysis tasks.
The position could start as research for credit hours and change into a fully paid position [$13/hour]. The candidate should be interested in a future in programming, machine learning and deep learning/AI. All majors are welcome, in particular Computer Science, and engineering disciplines (Computer, Electrical, Biomedical, ..)
Some snapshots of the project:
https://iowa-my.sharepoint.com/:w:/g/personal/seyhosseini_uiowa_edu/Ea4yp1z50c5DtXcyljHl0KMBA6etAOmTggROSI5NIh9Onw?e=64N1Gb
What you'll learn/get after 4 months:
1- Experience developing deep learning pipelines regarding medical image segmentation,
2- Working with 3D medical images and 3D object manipulation in the 3DSlicer software,
3- Possibility of being listed as a co-author in our publications,
4- Working alongside other undergraduate research assistants [there are 3] towards our shared goal of hypothesis-driven investigations of the lungs.