Call for interns of the following projects

1. Understandong components of deep learning models for medical image segmentation.

   This project will focus on developing some auditing tools to understand each component/layer of the neural networks for segmentation. We will espicifically focuse on neural networks such as U-Net and its extensions.

   Required Qualifications: PyTorch, U-Net

   Responsibilities: Using the developed auditing tools on various of U-Net, writing academic papers

   Work Location: Onside or Remote

2. Ranking the images based on difficult of segmentation.

   This project will focus on developing some auditing tools to rank images based on their segmentation ability.

   Required Qualifications: PyTorch, U-Net, nnU-Net, Data collection

   Responsibilities: Using the developed auditing tools on various of U-Net, writing academic papers

   Work Location: Onside or Remote

3. Cycle MAE.

   This project will focus on self-supervised learning.

   Required Qualifications: PyTorch, Data collection

   Responsibilities: Using the developed auditing tools on various of MAE, writing academic papers

   Work Location: Onside or Remote

4. Transformer learnint kernels for CNN.

   This project will focus on self-supervised learning.

   Required Qualifications: PyTorch, Data collection

   Responsibilities: Using the developed auditing tools on various of MAE, writing academic papers

   Work Location: Onside or Remote

5. Lighted version of FiAnet

   Make the FiAnet efficient on 3D data.

   Required Qualifications: PyTorch, Data collection

   Responsibilities: Using the developed auditing tools on various of MAE, writing academic papers

   Work Location: Onside or Remote