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Accelerated Magnetic Resonance Imaging by Adversarial Neural Network
A main challenge in Magnetic Resonance Imaging (MRI) for clinical applications is speeding up scan time. Beyond the improvement of patient experience...
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Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition
Convolutional neural networks (CNNs) Baumgartner, Christian F. areOktay, Ozan hierarchicalRueckert,...
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Morphological Analysis Combined with a Machine Learning Approach to Detect Utrasound Median Sagittal Sections for the Nuchal Translucency Measurement
The screening of chromosomal defects, as trisomy 13, 18 and 21, can be obtained by the measurement of the nuchal translucency thickness scanning...
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Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
Accurate acquisition of fetal ultrasound (US) standard planes is one of the most crucial steps in obstetric diagnosis. The conventional way of...
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Automatic Brain Localization in Fetal MRI Using Superpixel Graphs
Fetal MRI is emerging as an effective, non-invasive tool in prenatal diagnosis and pregnancy follow-up. However, there is a significant variability...
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Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI
Recently, magnetic resonance imaging has revealed to be important for the evaluation of placenta’s health during pregnancy. Quantitative assessment...
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Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution
MR image acquisition of moving organs remains challenging despite the advances in ultra-fast 2D MRI sequences. Post-acquisition techniques have been...
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Weakly Supervised Learning of Placental Ultrasound Images with Residual Networks
Accurate classification and localization of anatomical structures in images is a precursor for fully automatic image-based diagnosis of placental...
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Interactive Kinect-Based Rehabilitation Framework for Assisting Children with Upper Limb Cerebral Palsy
The use of computer games as adjunct to conventional cerebral palsy (CP) rehabilitation provides a promising approach to actively engage CP children...
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Graph-Based Slice-to-Volume Deformable Registration
Deformable image registration is a fundamental problem in computer vision and medical image computing. In this paper we investigate the use of...
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Fetoscopic Panorama Reconstruction: Moving from Ex-vivo to In-vivo
Twin-to-Twin Transfusion Syndrome (TTTS) is a condition that occurs in about 10% of pregnancies involving monochorionic twins. This complication can...
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Power Harvesting and Data Exchange Links
For data exchange of implantable devices, wireless links are unavoidable except for the case when an indwelling catheter or probe is allowed to...
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Similarity Registration Problems for 2D/3D Ultrasound Calibration
We propose a minimal solution for the similarity registration (rigid pose and scale) between two sets of 3D lines, and also between a set of...
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Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images
We present a method to correct motion in fetal in-utero scan sequences. The proposed approach avoids previously necessary manual segmentation of a...
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Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer
Acquisition of the fetal abdominal standard plane (FASP) is crucial for prenatal ultrasound diagnosis. However, it requires a thorough knowledge of...
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Graph-Based Label Propagation in Fetal Brain MR Images
Segmentation of neonatal and fetal brain MR images is a challenging task due to vast differences in shape and appearance across age and across...
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Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models
The development and identification of best methods in fetal brain MRI analysis is crucial as we expect an outburst of studies on groupwise and...
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A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation
This paper develops a novel approach to find the plane in a 3D fetal ultrasound scan which corresponds to the 2D diagnostic plane used in cranial...
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Spherical Tensor Algebra: A Toolkit for 3D Image Processing
With the advent of novel 3D image acquisition techniques, their efficient and reliable analysis becomes more and more important. In particular in 3D,...
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Exploiting multi-channels deep convolutional neural networks for multivariate time series classification
Time series classification is related to many different domains, such as health informatics, finance, and bioinformatics. Due to its broad...