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20232026
most citedCross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains

8 citations · 28 across the 16 of their papers we have counts for

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eess.IV2023★ 8 cited

Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains

Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran +3

Deep learning models have shown great promise in estimating tissue microstructure from limited diffusion magnetic resonance imaging data. However, these models face domain shift ch…

eess.IV2023

Fetal-BET: Brain Extraction Tool for Fetal MRI

Razieh Faghihpirayesh, Davood Karimi, Deniz Erdoğmuş +1

Fetal brain extraction is a necessary first step in most computational fetal brain MRI pipelines. However, it has been a very challenging task due to non-standard fetal head pose,…