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Found 4 papers, 1 papers with code
RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
Two-dimensional (2D) freehand ultrasonography is one of the most commonly used medical imaging modalities, particularly in obstetrics and gynaecology.
Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images
Two-dimensional (2D) freehand ultrasound is the mainstay in prenatal care and fetal growth monitoring.
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation
The objective of this work is to achieve sensorless reconstruction of a 3D volume from a set of 2D freehand ultrasound images with deep implicit representation.
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning
The objective of this work is to segment any arbitrary structures of interest (SOI) in 3D volumes by only annotating a single slice, (i. e. semi-automatic 3D segmentation).
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