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Article
Ventricular shape evaluation on early ultrasound predicts post-hemorrhagic hydrocephalus
To compare the ability of ventricular morphology on cranial ultrasound (CUS) versus standard clinical variables to predict the need for temporizing cerebrospinal fluid drainage in newborns with intraventricula...
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Chapter and Conference Paper
Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network
We propose a new Patch-based Iterative Network (PIN) for fast and accurate landmark localisation in 3D medical volumes. PIN utilises a Convolutional Neural Network (CNN) to learn the spatial relationship betwe...
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Chapter and Conference Paper
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network
Standard scan plane detection in fetal brain ultrasound (US) forms a crucial step in the assessment of fetal development. In clinical settings, this is done by manually manoeuvring a 2D probe to the desired sc...
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Chapter and Conference Paper
3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks
2D ultrasound (US) is the primary imaging modality in antenatal healthcare. Despite the limitations of traditional 2D biometrics to characterize the true 3D anatomy of the fetus, the adoption of 3DUS is still ...
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Chapter and Conference Paper
Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest
Ultrasound is the primary imaging method for prenatal screening and diagnosis of fetal anomalies. Thanks to its non-invasive and non-ionizing properties, ultrasound allows quick, safe and detailed evaluation o...
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Chapter and Conference Paper
Partitioned Shape Modeling with On-the-Fly Sparse Appearance Learning for Anterior Visual Pathway Segmentation
MRI quantification of cranial nerves such as anterior visual pathway (AVP) in MRI is challenging due to their thin small size, structural variation along its path, and adjacent anatomic structures. Segmentatio...
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Chapter and Conference Paper
Soft Multi-organ Shape Models via Generalized PCA: A General Framework
This paper addresses the efficient statistical modeling of multi-organ structures, one of the most challenging scenarios in the medical imaging field due to the frequently limited availability of data. Unlike ...
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Article
Hierarchical multi-resolution decomposition of statistical shape models
Active shape models (ASMs) are some of the most actively used model-based segmentation approaches, whose usefulness has been successfully demonstrated in a wide variety of applications. However, they suffer fr...
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Chapter and Conference Paper
Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys
Ultrasound is the mainstay of imaging for pediatric hydronephrosis, which appears as the dilation of the renal collecting system. However, its potential as diagnostic tool is limited by the subjective visual i...
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Chapter and Conference Paper
MR Enterography Image Fusion in Small Bowel Analysis
In the last years, the use of magnetic resonance enterography to evaluate inflammatory bowel diseases has become a mainstay, thanks to its non-ionizing nature, and to the advent of faster sequences that are le...
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Chapter and Conference Paper
Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization
Point Distribution Models (PDM) are some of the most popular shape description techniques in medical imaging. However, to create an accurate shape model it is essential to have a representative sample of the u...
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Chapter and Conference Paper
Multiresolution Hierarchical Shape Models in 3D Subcortical Brain Structures
Point Distribution Models (PDM) are one of the most extended methods to characterize the underlying population of set of samples, whose usefulness has been demonstrated in a wide variety of applications, inclu...
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Article
Full Multiresolution Active Shape Models
The incorporation of a multiresolution image approach is one of the most popular variants of Active Shape Models (ASMs), providing a more robust algorithm and minimizing its initialization dependency. Using th...
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Chapter and Conference Paper
Geometry Issues of a Gaze Tracking System
One of the most confusing aspects that one meets as he introduces himself into gaze tracking is the variety, in terms of hardware equipment, of available systems providing solutions to the same matter, i.e. de...
