Fetal Cortical Plate Segmentation Using Fully Convolutional Networks With Multiple Plane Aggregation

Temporal Patterns of Emergence and Spatial Distribution of Sulcal Pits During Fetal Life

(2020) Hyuk Jin Yun et al.   CEREBRAL CORTEX

Regional Alterations in Cortical Sulcal Depth in Living Fetuses with Down Syndrome

(2020) Hyuk Jin Yun et al.   CEREBRAL CORTEX

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

(2019) Guotai Wang et al.   NEUROCOMPUTING

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks

(2019) N. Khalili et al.   MAGNETIC RESONANCE IMAGING

FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI

(2019) Santiago Estrada et al.   MAGNETIC RESONANCE IN MEDICINE

Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks

(2019) Davood Karimi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features

(2018) Kaisar Kushibar et al.   MEDICAL IMAGE ANALYSIS

A deep 3D residual CNN for false-positive reduction in pulmonary nodule detection

(2018) Hongsheng Jin et al.   MEDICAL PHYSICS

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

(2018) Christian Wachinger et al.   NEUROIMAGE

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

(2018) Hao Chen et al.   NEUROIMAGE

OUP accepted manuscript

(2018)   CEREBRAL CORTEX

Automatic labeling of cortical sulci for the human fetal brain based on spatio-temporal information of gyrification

(2018) Hyuk Jin Yun et al.   NEUROIMAGE

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy

(2018) Abhijit Guha Roy et al.   NEUROIMAGE

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

(2017) Mohsen Ghafoorian et al.   Scientific Reports

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping

(2016) Jens Kleesiek et al.   NEUROIMAGE

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

(2015) Wenlu Zhang et al.   NEUROIMAGE

Automatic quantification of normal cortical folding patterns from fetal brain MRI

(2014) R. Wright et al.   NEUROIMAGE

Quantification and Discrimination of Abnormal Sulcal Patterns in Polymicrogyria

(2012) Kiho Im et al.   CEREBRAL CORTEX

Reconstruction of fetal brain MRI with intensity matching and complete outlier removal

(2012) Maria Kuklisova-Murgasova et al.   MEDICAL IMAGE ANALYSIS

Quantitative in vivo MRI measurement of cortical development in the fetus

(2011) Cédric Clouchoux et al.   Brain Structure & Function

Growth trajectories of the human fetal brain tissues estimated from 3D reconstructed in utero MRI

(2011) Julia A. Scott et al.   INTERNATIONAL JOURNAL OF DEVELOPMENTAL NEUROSCIENCE

Atlas-based segmentation of developing tissues in the human brain with quantitative validation in young fetuses

(2010) Piotr A. Habas et al.   HUMAN BRAIN MAPPING