Alle Papers – Medizinische Bildsegmentierung

Mathematical morphology: from two dimensions to three dimensions

A Versatile Functional–Anatomic Image Fusion Method for Volume Data Sets

A new method of constructing a grid in the space of 3D rotations and its applications to texture analysis

Automatic registration of pelvic computed tomography data and magnetic resonance scans including a full circle method for quantitative accuracy evaluation

Some fields of applications of automatic image analysis in civil engineering

Combining Registration and Minimum Surfaces for the Segmentation of the Left Ventricle in Cardiac Cine MR Images

Interactive 3D registration of ultrasound and magnetic resonance images based on a magnetic position sensor

3D liver segmentation using multiple region appearances and graph cuts

Automatic rotational symmetry determination for shape analysis

Conformal Geometry and Brain Flattening

PATHWAY OF SERINE FORMATION FROM CARBOHYDRATE IN RAT LIVER

A JOINT REGISTRATION AND SEGMENTATION APPROACH TO SKULL STRIPPING

Convex multiclass segmentation with shearlet regularization

Machine learning algorithms for the diagnosis of Alzheimer and Parkinson disease

An active contour model for medical image segmentation with application to brain CT image

Volumetric DXA (VXA): A new method to extract 3D information from multiple in vivo DXA images

I²C: A system for the indexing, storage, and retrieval of medical images by content

Application and assessment of multiscale bending energy for morphometric characterization of neural cells

Segmentation as the search for the best description of the image in terms of primitives

Selection of task-dependent diffusion filters for the post-processing of SPECT images

3-D reconstruction of the coronary artery tree from multiple views of a rotational X-ray angiography

A spatially continuous max-flow and min-cut framework for binary labeling problems

Large deformation diffeomorphic metric mapping registration of reconstructed 3D histological section images and in vivo MR images

Quantitative comparison of automatic and interactive methods for MRI-SPECT image registration of the brain based on 3-dimensional calculation of error.

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation