Mentoring

Deep Learning and Image Pyramids for Aorta Segmentation
Deep learning techniques have been employed in a variety of use cases for computer vision tasks in general, and medical image …
Abdullah Barhoum
Deep Learning and Image Pyramids for Aorta Segmentation
Anatomical Landmark Detection From X-Ray Images Using Convolutional Neural Networks

In this thesis, we propose an approach that robustly detects three-dimensional (3D) anatomical landmarks in two-dimensional (2D) …

Nicolás Pérez de Olaguer Santamaría
Anatomical Landmark Detection From X-Ray Images Using Convolutional Neural Networks
Morphological Indicators for Limitations in Nasal Breathing
In order to better understand the relationship between shape of the nasal cavity and to find objective classification for breathing …
Natalja Amiridze
Morphological Indicators for Limitations in Nasal Breathing
Deep Learning for Boundary Detection in Model-Based Segmentation
We propose an algorithm to segment 3D medical images that combines deformable anatomical models and deep learning. The aim is to …
Marilia de Almeida Lirio Dourado
Deep Learning for Boundary Detection in Model-Based Segmentation
Geometrische Rekonstruktion von Anatomischen Strukturen des Kopfes aus Tomographischen Daten
Marcus Roehner
Landmarken-basierte 2d-3d Objektpositionierung
Marcus Roehner
Deformable Meshes for Accurate Automatic Segmentation of Medical Image Data
Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces …
Dagmar Kainmueller
DOI
Fitting Smooth Strips to Rough Surfaces
Tamaz Amiranashvili
Interaktives Planungstool Zur 3D Rekonstruktion Von Knochenresektion
Bruno Kirschner
Articulated Statistical Shape Models
Matthias Bindernagel