8 citations · 10 across the 4 of their papers we have counts for
4 papers
Robust Alignment of the Human Embryo in 3D Ultrasound using PCA and an Ensemble of Heuristic, Atlas-based and Learning-based Classifiers Evaluated on the Rotterdam Periconceptional Cohort
Nikolai Herrmann, Marcella C. Zijta, Stefan Klein +5
Standardized alignment of the embryo in three-dimensional (3D) ultrasound images aids prenatal growth monitoring by facilitating standard plane detection, improving visualization o…
The 4D Human Embryonic Brain Atlas: spatiotemporal atlas generation for rapid anatomical changes
Wietske A. P. Bastiaansen, Melek Rousian, Anton H. J. Koning +4
Early brain development is crucial for lifelong neurodevelopmental health. However, current clinical practice offers limited knowledge of normal embryonic brain anatomy on ultrasou…
Multi-Atlas Segmentation and Spatial Alignment of the Human Embryo in First Trimester 3D Ultrasound
W. A. P. Bastiaansen, M. Rousian, R. P. M. Steegers-Theunissen +3
Segmentation and spatial alignment of ultrasound (US) imaging data acquired in the in first trimester are crucial for monitoring human embryonic growth and development throughout t…
Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration
Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen +3
We propose an unsupervised deep learning method for atlas based registration to achieve segmentation and spatial alignment of the embryonic brain in a single framework. Our approac…