Medical Image Computing and Artificial Intelligence: IMI

IMI | Institute of Medical Informatics

Medical Image Computing and Artificial Intelligence

Machine Learning and Artificial Intelligence in Medical Image Processing

AI Application Centre Schleswig-Holstein

Quality enhancement of Home-OCT images and improved automatic image analysis utilizing artificial intelligence

GAIA-MED: AI-based Home Monitoring of Eye Diseases

AI ecosystem in health care: Health system-based analysis of disease patterns using lung diseases as an example.

KI-SIGS project iAuge: Homecare eye diagnostics and intelligent image analysis in ophthalmology
(funded by Federal Ministry of Economics and Technology)

Project AI-Lab Lübeck
(funded by BMBF)

Automatische Analyse und Erkennung von Bildstrukturen in 3D-/4D-OCT-Bilddaten unter Verwendung von Verfahren des maschinellen Lernens

Deep Learning-based Generative Models for Unsupervised Anomaly Detection in Medical Images

Decision Forest Variants for Brain Lesion Segmentation

Automatic Patient Individual Contrast Agent Dose Optimization (iQ-CM)
(funded by BMBF)

4D Medical Image Computing

[Translate to english:] Lunagandtumor

4D Medical Image Computing for Model-based Analysis of Respiratory Tumor and Organ Motion
(funded by German Research Foundation)

[Translate to english:] DFG MIC 2 Icon

4D Medical Image Computing for Image-based Risk Assessment in Radiation Therapy of Moving Tumors
(funded by German Research Foundation)

Artefact reduced Reconstruction of 4D-CT Data Sets from 3D-CT Data Segments

Integrated 4D Segmentation and Registration of Spatio-temporal Image Data
(funded by German Research Foundation)

Simulation and Evaluation of the Impact of Breathing Motion on Thoracic Dose Distributions for Different Radiation Delivery Techniques using 4D CT Data
(funded by German Cancer Aid)

Segmentation of brain vessels and blood flow analysis in 4D magnetic resonance angiography in cerebral arteriovenous malformations - Studies on hemodynamics and tissue markers
(funded by German Research Foundation)

Segmentation and Pattern Recognition in Medical Image Data

Probabilistic Statistical Shape and Appearance Models for Robust Multi-Object Segmentation in Medical Image Data
(funded by German Research Foundation)

Extended statistical shape models based on probabilistic correspondences for 3D segmentation of medical images
(funded by German Research Foundation)

Integrated 4D Segmentation and Registration of Spatio-temporal Image Data
(funded by German Research Foundation)

Segmentation of brain vessels and blood flow analysis in 4D magnetic resonance angiography in cerebral arteriovenous malformations - Studies on hemodynamics and tissue markers
(funded by German Research Foundation)

Image Registration and Correspondence Analysis

Similarity and uncertainty in medical image analysis

Mammo3D – Automatic Detection and Visualization of Corresponding Structures and Lesions in 2D/3D Image Data of the Female Breast for Multimodal Breast Cancer Diagnosis
(funded by Federal Ministry of Economics and Technology)

[Translate to english:] Lunagandtumor

4D Medical Image Computing for Model-based Analysis of Respiratory Tumor and Organ Motion
(funded by German Research Foundation)

Integrated 4D Segmentation and Registration of Spatio-temporal Image Data
(funded by German Research Foundation)

Integrated Analysis and Probabilistic Registration of Medical Images with Missing Correspondences
(funded by German Research Foundation)

Image based Virtual Reality Simulation and Modelling

Patient-specific Virtual Reality Simulation of Punctures Using Puncture Atlases
(funded by German Research Foundation)

Virtual Reality Simulator for the Training of Lumbar Punctures

Finite Element Modeling of Respiratory Lung Motion

Patient-Individual 4D Virtual Reality Simulation of Punctures and Radio-Frequency Ablations in Virtual Body Models with Breating Motion
(funded by German Research Foundation)