Search Results - "Benkarim, Oualid M"
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Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge
Published in IEEE transactions on medical imaging (01-09-2019)“…Accurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid is an indispensable…”
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Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly
Published in NeuroImage clinical (01-01-2018)“…Neuroimaging of brain diseases plays a crucial role in understanding brain abnormalities and early diagnosis. Of great importance is the study of brain…”
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3
Fetal cortical surface atlas parcellation based on growth patterns
Published in Human brain mapping (01-09-2019)“…Defining anatomically and functionally meaningful parcellation maps on cortical surface atlases is of great importance in surface‐based neuroimaging analysis…”
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Toward the automatic quantification of in utero brain development in 3D structural MRI: A review
Published in Human brain mapping (01-05-2017)“…Investigating the human brain in utero is important for researchers and clinicians seeking to understand early neurodevelopmental processes. With the advent of…”
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Learning non-linear patch embeddings with neural networks for label fusion
Published in Medical image analysis (01-02-2018)“…•We present a method to improve discriminative abilities of patch-based label fusion.•We use neural networks to learn optimal embeddings of image patches.•Our…”
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Discriminative confidence estimation for probabilistic multi-atlas label fusion
Published in Medical image analysis (01-12-2017)“…•We propose a probabilistic label fusion approach for multi-atlas segmentation.•Discriminative learning is used to learn from atlas segmentation errors.•We…”
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Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation
Published in Computerized medical imaging and graphics (01-11-2018)“…•We compare two learning-based strategies for combining complementary segmentation methods based on stacking and cascading, respectively.•Results on fetal and…”
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Patch spaces and fusion strategies in patch-based label fusion
Published in Computerized medical imaging and graphics (01-01-2019)“…•Most patch-based label fusion approaches perform fusion in target space.•Traditional approaches establish correspondences by warping the atlases to the…”
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Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge
Published in IEEE transactions on medical imaging (27-02-2019)“…Accurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is an…”
Get full text
Journal Article Publication -
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Fetal cortical parcellation based on growth patterns
Published in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (01-04-2018)“…Dividing the human cerebral cortex into structurally and functionally distinct regions is important in many neuroimaging studies. Although many parcellations…”
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Conference Proceeding Journal Article -
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BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets
Published in Communications biology (05-03-2020)“…Understanding how cognitive functions emerge from brain structure depends on quantifying how discrete regions are integrated within the broader cortical…”
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Journal Article -
12
Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly
Published in NeuroImage clinical (2018)“…Neuroimaging of brain diseases plays a crucial role in understanding brain abnormalities and early diagnosis. Of great importance is the study of brain…”
Get full text
Journal Article