Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal <scp>MRI</scp>
Yongkai Liu(Unknown), Kyunghyun Sung(University of California, Los Angeles), Fatemeh Zabihollahy(University of California, Los Angeles), Carla Janzen(University of California, Los Angeles), Ran Yan(Sir Run Run Shaw Hospital), Sherin U. Devaskar(UCLA Health), Brian Lee(University of California, Los Angeles)
Cited by 13
Related Papers
Histone Code Modifications Repress Glucose Transporter 4 Expression in the Intrauterine Growth-restricted Offspring
|Journal of Biological Chemistry|2008|221
Insulin Hypersensitivity and Resistance to Streptozotocin-Induced Diabetes in Mice Lacking PTEN in Adipose Tissue
|Molecular and Cellular Biology|2005|187
<scp>ME‐Net</scp>: <scp>Multi‐encoder</scp> net framework for brain tumor segmentation
|International Journal of Imaging Systems and Technology|2021|122
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention
|IEEE Access|2019|93
3D PBV-Net: An automated prostate MRI data segmentation method
|Computers in Biology and Medicine|2020|85