Name of Lead Faculty/Staff or PI: Eric Hoffman
Contact: Soheil Hosseini
Contact Email: seyedsoheil-hosseini@uiowa.edu
Project Details:
The Advanced Pulmonary Physiomic Imaging Laboratory (APPIL) is looking for several undergraduate research assistants to help with an ongoing project—specifically, to evaluate three different methods for segmenting the pulmonary arterial and venous trees from 3D chest CT scans. There are three methods to explore, but one shared goal: to improve the separation and segmentation of pulmonary arteries and veins. Each method comes with publicly available code and an associated research paper. Your task would be to pick one of the methods, get the code running, and evaluate its performance on a sample arterio-venous-separation dataset. You don’t need to fully understand the technical intricacies—unless you want to, and chances are, you will if you spend enough time with the project.
Qualifications: Passionate about AI and programming; Self-driven and able to work independently
Time Commitment: 9-12 in academic semesters, maybe more if it's summer
Compensation: Volunteer (Optional registration for URES:3991 or URES:3992 0-credit transcript recognition), Academic Credit (1-4 Semester Hours), Pay, To be determined
Start Date: Near future, Fall semester, Spring semester, Summer semester
Timeline: Ongoing, potential to be a continuous position, To be determined
Application Instructions: Please email us with the subject line: "Interested in APPIL AI Lung Project." Include the methods you're most interested in, and send your email to both: seyedsoheil-hosseini@uiowa.edu and rishivishwanath-ajoykumar@uiowa.edu