Longitudinal changes in cortical thickness associated with normal aging
Imaging studies of anatomic changes in regional gray matter volumes and cortical thickness
have documented age effects in many brain regions, but the majority of such studies have …
have documented age effects in many brain regions, but the majority of such studies have …
Longitudinal multiple sclerosis lesion segmentation: resource and challenge
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation
challenge providing training and test data to registered participants. The training data …
challenge providing training and test data to registered participants. The training data …
Retinal layer segmentation of macular OCT images using boundary classification
Optical coherence tomography (OCT) has proven to be an essential imaging modality for
ophthalmology and is proving to be very important in neurology. OCT enables high resolution …
ophthalmology and is proving to be very important in neurology. OCT enables high resolution …
Why rankings of biomedical image analysis competitions should be interpreted with care
International challenges have become the standard for validation of biomedical image
analysis methods. Given their scientific impact, it is surprising that a critical analysis of common …
analysis methods. Given their scientific impact, it is surprising that a critical analysis of common …
[HTML][HTML] MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans
Many methods have been proposed for tissue segmentation in brain MRI scans. The
multitude of methods proposed complicates the choice of one method above others. We have …
multitude of methods proposed complicates the choice of one method above others. We have …
MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury
Computational models of the brain and its biomechanical response to skull accelerations
are important tools for understanding and predicting traumatic brain injuries (TBIs). However, …
are important tools for understanding and predicting traumatic brain injuries (TBIs). However, …
Applications of a deep learning method for anti-aliasing and super-resolution in MRI
Magnetic resonance (MR) images with both high resolutions and high signal-to-noise ratios
(SNRs) are desired in many clinical and research applications. However, acquiring such …
(SNRs) are desired in many clinical and research applications. However, acquiring such …
Evaluating white matter lesion segmentations with refined Sørensen-Dice analysis
The Sørensen-Dice index (SDI) is a widely used measure for evaluating medical image
segmentation algorithms. It offers a standardized measure of segmentation accuracy which has …
segmentation algorithms. It offers a standardized measure of segmentation accuracy which has …
Cross-modality image synthesis from unpaired data using cyclegan: Effects of gradient consistency loss and training data size
…, M Takao, T Matsuoka, K Takashima, A Carass… - … and Synthesis in …, 2018 - Springer
CT is commonly used in orthopedic procedures. MRI is used along with CT to identify muscle
structures and diagnose osteonecrosis due to its superior soft tissue contrast. However, …
structures and diagnose osteonecrosis due to its superior soft tissue contrast. However, …
Random forest regression for magnetic resonance image synthesis
By choosing different pulse sequences and their parameters, magnetic resonance imaging (MRI)
can generate a large variety of tissue contrasts. This very flexibility, however, can yield …
can generate a large variety of tissue contrasts. This very flexibility, however, can yield …
