View Proposal

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Proposer

Dongdong Chen

Title

Computer Vision and Imaging topics - Self-Supervised Learning for Image Reconstruction

Goal

Description

In recent years, deep learning has achieved state-of-the-art performance in various imaging inverse problems, including medical imaging and computational imaging. These methods typically require pairs of signals and their corresponding measurements for training. However, in many imaging problems, we only have access to degraded or undersampled measurements of the underlying signals, which limits the applicability of learning-based approaches. The recent equivariant imaging (EI) framework overcomes this limitation by exploiting the invariance to transformations (translations, rotations, etc.) present in natural signals. EI is fully self-supervised and can recover the signals from their measurements alone. This project focuses on applying EI to different inverse problems including but not limited to medical image (e.g. CT/MRI) reconstruction and image restoration (super-resolution, denoising, debluring, etc.). If you’re interested in doing this project, please have a look at the papers listed below.

Resources

https://ieeexplore.ieee.org/abstract/document/10004796?casa_token=OWX4u5zTQxUAAAAA:4xqldZHDeZTsQaJLArqxMQqdkHzTnAKi51x2LtAT5BVfo_zWsVCYotmynl08nnqSkvFheAgOBQ https://openaccess.thecvf.com/content/ICCV2021/papers/Chen_Equivariant_Imaging_Learning_Beyond_the_Range_Space_ICCV_2021_paper.pdf

Background

knowledge of Python/Pytorch; basic of deep learning and image reconstruction/inverse problems

Url

External Link

Difficulty Level

High

Ethical Approval

None

Number Of Students

1

Supervisor

Dongdong Chen

Keywords

computer vision, image reconstruction, equivariant imaging, medical imaging, signal processing, self-supervised learning

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics