A5029228546- Cardiac Valve Diseases and Treatments
- Medical Image Segmentation Techniques
- Surgical Simulation and Training
- Cardiovascular Function and Risk Factors
- Medical Imaging Techniques and Applications
- Soft Robotics and Applications
- Cardiac and Coronary Surgery Techniques
- Advanced MRI Techniques and Applications
- Robotics and Sensor-Based Localization
- Augmented Reality Applications
- Cardiac Imaging and Diagnostics
- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Advanced Radiotherapy Techniques
- Infective Endocarditis Diagnosis and Management
- Advanced X-ray and CT Imaging
- Medical Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Anatomy and Medical Technology
- Coronary Interventions and Diagnostics
- Mass Spectrometry Techniques and Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Aortic Disease and Treatment Approaches
- Congenital Heart Disease Studies
Mannheim University of Applied Sciences
2015-2024
Heidelberg University
2006-2021
University Hospital Magdeburg
2019
German Cancer Research Center
2006-2017
DKFZ-ZMBH Alliance
2003-2016
Institut für Medizinische Informatik, Biometrie und Epidemiologie
2002-2010
University of Mannheim
2010
Guy's and St Thomas' NHS Foundation Trust
2008
King's College London
2008
Deutsches Herzzentrum München
2005
Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation corresponding tasks has thus been subject intense research over past decades. In this paper, we introduce "Automatic Cardiac Diagnosis Challenge" dataset (ACDC), largest publicly available fully annotated for purpose MRI (CMR) assessment. contains data 150 multi-equipments CMRI recordings...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images. It is based on results the "MICCAI 2007 Grand Challenge" workshop, where 16 teams evaluated their algorithms common database. A collection of 20 clinical images with reference segmentations was provided to train tune in advance. Participants were also...
This paper presents a novel end-to-end system for table understanding in document images called DeepDeSRT. In particular, the contribution of DeepDeSRT is two-fold. First, it deep learning-based solution detection images. Secondly, proposes approach structure recognition, i.e. identifying rows, columns, and cell positions detected tables. contrast to existing rule-based methods, which rely on heuristics or additional PDF metadata (like, example, print instructions, character bounding boxes,...
The aim of the Medical Imaging Interaction Toolkit (MITK) is to facilitate creation clinically usable image-based software. Clinically software for image-guided procedures and image analysis require a high degree interaction verify and, if necessary, correct results from (semi-)automatic algorithms. MITK class library basing on extending Insight (ITK) Visualization (VTK). ITK provides leading-edge registration segmentation algorithms forms algorithmic basis. VTK has powerful visualization...
In biological assays, automated cell/colony segmentation and counting is imperative owing to huge image sets. Problems occurring due drifting acquisition conditions, background noise high variation in colony features experiments demand a user-friendly, adaptive robust processing/analysis method. We present AutoCellSeg (based on MATLAB) that implements supervised automatic utilizes multi-thresholding aided by feedback-based watershed algorithm taking plausibility criteria into account. It...
Most image processing and visualization applications allow users to configure computation parameters manipulate the resulting visualizations. SCIRun, VoIView, MeVisLab, Medical Interaction Toolkit (MITK) are four frameworks that were built for these purposes. All freely available all use of ITK C++ library. In this paper, benefits limitations each framework presented aid both application developers in decision which may be best their application. The analysis is based on more than 50...
Computed tomography (CT)-guided percutaneous radiofrequency ablation (RFA) has become a commonly used procedure in the treatment of liver tumors. One main challenges related to method is exact placement instrument within lesion. To address this issue, system was developed for computer-assisted needle which uses set fiducial needles compensate organ motion real time. The purpose study assess accuracy vivo. Two medical experts with experience CT-guided interventions and two nonexperts...
Glomerular number and size are important risk factors for chronic kidney disease (CKD) cardiovascular have traditionally been estimated using invasive techniques. Here, we report a novel technique to count every glomerulus in the rat magnetic resonance imaging (MRI).The ferromagnetic nature of cationized ferritin allowed visualization single glomeruli high-resolution susceptibility-weighted MRI. A segmentation algorithm was used identify all within whole kidney. To prove our concept, total...
Objective: Right ventricular function is an important aspect of global cardiac performance which affects patients' outcome after surgery. Due to its geometrical complexity, the assessment right still a very difficult task. Aim this study was investigate value new technique for intraoperative ventricle based on transesophageal 3D-echocardiography, and compare it volumetric thermodilution by using generation fast response thermistor pulmonary artery catheters. Methods: Twenty-five patients...
Abstract Mass spectrometry imaging vows to enable simultaneous spatially resolved investigation of hundreds metabolites in tissues, but it primarily relies on traditional ion images for non-data-driven metabolite visualization and analysis. The rendering interpretation neither considers nonlinearities the resolving power mass spectrometers nor does yet evaluate statistical significance differential spatial abundance. Here, we outline computational framework moleculaR (...
To evaluate the use of three-dimensional imaging pancreatic carcinoma using multidetector computed tomography (CT) in a prospective study.Ten patients with suspected tumors were examined prospectively CT (Somatom Sensation 16, Siemens, Erlangen, Germany). The images evaluated for presence and invasion peripancreatic vessels surrounding organs. Using isotropic data sets, image was created automatic vascular analysis semi-automatic segmentation organs tumor by radiologist. examinations...