15 citations · 30 across the 11 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2022
Semi-supervised Learning with Robust Loss in Brain Segmentation
Hedong Zhang, Anand A. Joshi
In this work, we used a semi-supervised learning method to train deep learning model that can segment the brain MRI images. The semi-supervised model uses less labeled data, and th…
eess.IV2022
Learning from imperfect training data using a robust loss function: application to brain image segmentation
Haleh Akrami, Wenhui Cui, Anand A Joshi +1
Segmentation is one of the most important tasks in MRI medical image analysis and is often the first and the most critical step in many clinical applications. In brain MRI analysis…