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全部11论文11
Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes论文
Scientific Reports2020引用: 217
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective论文
2020引用: 245
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI论文
NeuroImage2019引用: 287
Fully convolutional networks for multi-modality isointense infant brain image segmentation论文
2016引用: 286
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network论文
IEEE Transactions on Medical Imaging2016引用: 772
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images论文
NeuroImage2014引用: 230
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain论文
IEEE Transactions on Medical Imaging2014引用: 411
Transfer Learning in a Transductive Setting论文
Max Planck Digital Library2013引用: 224
Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression论文
NeuroImage2011引用: 321
A dynamic 4D probabilistic atlas of the developing brain论文
NeuroImage2010引用: 286
Automatic segmentation of MR images of the developing newborn brain论文
Medical Image Analysis2005引用: 333

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