Medical image analysis
Brief Description of Project:
Medical image analysis is a vibrant field of research that involves many computer science skills such as machine learning/deep learning and computer vision. Examples include tasks like identifying the boundaries of various brain structures in an MRI scan, computationally enhancing the quality of a noisy ultrasound scan, or training neural networks to predict patient outcomes from images. We have a number of applications (different imaging types, different body parts, different computational tasks) we are working on within this context; the specific tasks for the internship will be determined to match the skills and interest areas of the intern(s). Ideally, internship projects are expected to lead to a submission to the SPIE Medical Imaging Conference by the end of the summer.
- At least one of C++ or Python programming is required.
- Familiarity with PyTorch or TensorFlow is additionally helpful.
- No prior medical knowledge is needed.
Nature of Supervision:
A Brief Research Plan (period is for 10 weeks):
1 week - project overview and plan development
7-8 weeks - project implementation
1-2 weeks - project write-up
Number of Open Slots: 3
Name: Ipek Oguz
Department: Electrical Engineering and Computer Science