Alle Papers – Medizinische Bildsegmentierung

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation

Skeleton Search: Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model

A Riemannian Approach to Diffusion Tensor Images Segmentation

Integration of Local and Global Features for Anatomical Object Detection in Ultrasound

Brain lesion segmentation through image synthesis and outlier detection

Frequency Diffeomorphisms for Efficient Image Registration

Conventional and Deep Learning Methods for Skull Stripping in Brain MRI

Research in Medical Imaging Using Image Processing Techniques

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers

Interpreting Images by Propagating Bayesian Beliefs

Automatic alignment of EEG/MEG and MRI data sets

An Effective Semi-supervised Approach for Liver CT Image Segmentation

Exploratory Image Databases: Content-Based Retrieval

Mean shift spectral clustering

Determining the similarity of deformable shapes

Automatic View Planning for Cardiac MRI Acquisition

The APEX Method in Image Sharpening and the Use of Low Exponent Lévy Stable Laws

Beyond Low Rank + Sparse: Multiscale Low Rank Matrix Decomposition

Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image

Optical and SAR Image Registration Based on Feature Decoupling Network

Image Preprocessing for Feature Extraction in Digital Intensity, Color and Range Images

Brain MRI segmentation with patch-based CNN approach

A bibliography on digital and computational convexity (1961-1988)

Global channel attention networks for intracranial vessel segmentation

Gauss-Markov measure field models for low-level vision