Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans Med Imaging (2016) 1.25

Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin. Neuroimage Clin (2017) 0.94

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans. Sci Rep (2016) 0.81

Segmenting Brain Tissues from Chinese Visible Human Dataset by Deep-Learned Features with Stacked Autoencoder. Biomed Res Int (2016) 0.78

Deep Learning in Medical Image Analysis. Annu Rev Biomed Eng (2017) 0.77

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. Sci Rep (2017) 0.77

FULLY CONVOLUTIONAL NETWORKS FOR MULTI-MODALITY ISOINTENSE INFANT BRAIN IMAGE SEGMENTATION. Proc IEEE Int Symp Biomed Imaging (2016) 0.76

Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks. Neuroimage (2016) 0.75

Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. Mach Learn Med Imaging (2016) 0.75

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. IEEE J Biomed Health Inform (2016) 0.75

BrainSegNet: a convolutional neural network architecture for automated segmentation of human brain structures. J Med Imaging (Bellingham) (2017) 0.75

Multivariate Analyses Applied to Healthy Neurodevelopment in Fetal, Neonatal, and Pediatric MRI. Front Neuroanat (2016) 0.75

Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model. Sci Rep (2017) 0.75

Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling. Med Phys (2016) 0.75

Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks. Int J Comput Assist Radiol Surg (2017) 0.75

Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities. J Digit Imaging (2017) 0.75

A New Approach to Develop Computer-Aided Diagnosis Scheme of Breast Mass Classification Using Deep Learning Technology. J Xray Sci Technol (2017) 0.75

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy. Neuroimage (2017) 0.75

ECG data compression using a neural network model based on multi-objective optimization. PLoS One (2017) 0.75

Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging. Neuroimage Clin (2017) 0.75

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions. J Digit Imaging (2017) 0.75

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI. Neuroimage Clin (2017) 0.75

A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging (1998) 23.54

User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage (2006) 18.68

Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature (2013) 4.40

Maturation of white matter in the human brain: a review of magnetic resonance studies. Brain Res Bull (2001) 3.74

The human pattern of gyrification in the cerebral cortex. Anat Embryol (Berl) (1988) 2.95

Mitosis detection in breast cancer histology images with deep neural networks. Med Image Comput Comput Assist Interv (2013) 2.64

Automatic segmentation of newborn brain MRI. Neuroimage (2009) 2.47

Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Comput (2010) 2.42

Automatic segmentation and reconstruction of the cortex from neonatal MRI. Neuroimage (2007) 2.41

Neonatal brain image segmentation in longitudinal MRI studies. Neuroimage (2009) 2.14

Brain tissue segmentation based on DTI data. Neuroimage (2007) 2.06

LABEL: pediatric brain extraction using learning-based meta-algorithm. Neuroimage (2012) 1.66

3D convolutional neural networks for human action recognition. IEEE Trans Pattern Anal Mach Intell (2013) 1.62

Brain anatomical networks in early human brain development. Neuroimage (2010) 1.59

Toward automatic phenotyping of developing embryos from videos. IEEE Trans Image Process (2005) 1.58

Automatic segmentation of neonatal images using convex optimization and coupled level sets. Neuroimage (2011) 1.51

4D multi-modality tissue segmentation of serial infant images. PLoS One (2012) 1.49

Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. Neuroimage (2013) 1.38

Mapping region-specific longitudinal cortical surface expansion from birth to 2 years of age. Cereb Cortex (2012) 1.36

Clinical neonatal brain MRI segmentation using adaptive nonparametric data models and intensity-based Markov priors. Med Image Comput Comput Assist Interv (2007) 1.36

Detailed semiautomated MRI based morphometry of the neonatal brain: preliminary results. Neuroimage (2006) 1.22

A computational growth model for measuring dynamic cortical development in the first year of life. Cereb Cortex (2011) 1.17

Motion artifact in magnetic resonance imaging: implications for automated analysis. Neuroimage (2002) 1.17

Morphology-driven automatic segmentation of MR images of the neonatal brain. Med Image Anal (2012) 1.16

Longitudinally guided level sets for consistent tissue segmentation of neonates. Hum Brain Mapp (2011) 1.11

Adaptive prior probability and spatial temporal intensity change estimation for segmentation of the one-year-old human brain. J Neurosci Methods (2012) 1.09

iBEAT: A toolbox for infant brain magnetic resonance image processing. Neuroinformatics (2013) 1.07

AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI. Neuroimage (2012) 1.01

Atlas-free surface reconstruction of the cortical grey-white interface in infants. PLoS One (2011) 1.00

Highly accurate segmentation of brain tissue and subcortical gray matter from newborn MRI. Med Image Comput Comput Assist Interv (2006) 0.97

Multi-atlas based simultaneous labeling of longitudinal dynamic cortical surfaces in infants. Med Image Comput Comput Assist Interv (2013) 0.84

Integrative analysis of the connectivity and gene expression atlases in the mouse brain. Neuroimage (2013) 0.88