Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: CompNet: Complementary Segmentation Network for Brain MRI Extraction
Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
Cognition-based MRI brain tumor segmentation technique using modified level set method
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Localized active contour model with background intensity compensation applied on automatic MR brain tumor segmentation
Automatic Brain Tumor Segmentation by Deep Convolutional Networks and Graph Cuts
Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation
DeepMedic for Brain Tumor Segmentation
Robust White Matter Lesion Segmentation in FLAIR MRI
PCA-aided fully convolutional networks for semantic segmentation of multi-channel fMRI
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network
chapter 5 machine learning for brain image segmentation .
A Convolutional Neural Network Approach to Brain Tumor Segmentation
BRAIN TUMOR MRI IMAGE SEGMENTATION AND DETECTION IN IMAGE PROCESSING
Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
What is the effect of taping along or across a muscle on motoneurone excitability? A study using Triceps Surae
Reading Digits in Natural Images with Unsupervised Feature Learning
A whole brain fMRI atlas generated via spatially constrained spectral clustering
Frontal object perception using radar and mono-vision
Using Deep Convolutional Neural Networks in Monte Carlo Tree Search