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Detecting Outliers with Foreign Patch Interpolation
In medical imaging, outliers can contain hypo/hyper-intensities, minor d...
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3D Probabilistic Segmentation and Volumetry from 2D projection images
X-Ray imaging is quick, cheap and useful for front-line care assessment ...
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Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
Real-world settings often do not allow acquisition of high-resolution vo...
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Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging
Detecting acoustic shadows in ultrasound images is important in many cli...
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EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers
Ultrasound (US) is the most widely used fetal imaging technique. However...
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Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network
Standard scan plane detection in fetal brain ultrasound (US) forms a cru...
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Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents
We propose a fully automatic method to find standardized view planes in ...
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Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Pose estimation, i.e. predicting a 3D rigid transformation with respect ...
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3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
Limited capture range and the requirement to provide high quality initia...
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Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging
3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast bu...
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Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion
This paper aims to solve a fundamental problem in intensity-based 2D/3D ...
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