Alle Papers – Medizinische Bildsegmentierung

Markov Random Field Modeling in Image Analysis

Image Segmentation in Video Sequences: A Probabilistic Approach

O-CNN

Distance functions on digital pictures

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

An image-based modeling framework for patient-specific computational hemodynamics

Multi-Atlas Segmentation with Joint Label Fusion

A new approach for the morphological segmentation of high-resolution satellite imagery

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

Recognition by linear combinations of models

Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

A deep learning framework for unsupervised affine and deformable image registration

Deep Learning for Cardiac Image Segmentation: A Review

LSD: a Line Segment Detector

Multiframe image restoration and registration

Statistical region merging

Multi-modality image registration by maximization of mutual information

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

Manopt, a Matlab toolbox for optimization on manifolds

Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Rotation invariant texture classification using LBP variance (LBPV) with global matching

Adaptive fuzzy segmentation of magnetic resonance images