Siemens Medical Solutions, Forchheim (2009)
Anja Borsdorf, Rainer Raupach, Joachim Hornegger
Abstract. The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. For a reliable diagnosis and subsequent image processing,...
Rüdiger Bock, Holger Scherl, Joachim Hornegger
Abstract. In computed tomography (CT), reconstructions from conebeam (CB) data acquired with a polychromatic X-ray device show so called beam hardening artifacts. Beam hardening artifacts are highly...
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets (2009)
Van Ginneken, Bram, Styner, Martin A., Arzhaeva, Yulia, Aurich, Volker, Bauer, Christian, ...
Heimann T., van Ginneken B., Styner M.A., Arzhaeva Y., Aurich V., Bauer C., Beck A., Becker C., Beichel R., Bekes G., Bello F., Binnig G., Bischof H., Bornik A., Cashman P.M.M., Chi Y., Córdova A.,...
Michael Wels, Gustavo Carneiro, Er Aplas, Martin Huber, Joachim Hornegger
Abstract. In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation approach...
Edge-Preserving Denoising for Segmentation in CT-Images (2009)
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Joachim Hornegger, Lehrstuhl Für Mustererkennung
Abstract. In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In order to...
Whole Body MRI Intensity Standardization (2009)
Florian Jäger, László Nyúl, Bernd Frericks, Frank Wacker, Joachim Hornegger
Abstract. A major problem of segmentation of magnetic resonance images is that intensities are not standardized like in computed tomography. This article deals with the correction of inter volume...
C-arm CT: Reconstruction of Dynamic High Contrast Objects Applied to the Coronary Sinus (2009)
Christopher Rohkohl, Günter Lauritsch, Alois Nöttling, Marcus Prümmer, Joachim Hornegger
Abstract—For many interventional procedures the 3-D reconstruction of dynamic high contrast objects from C-arm data is desirable. We present a method for compensating artifacts from periodic...
Fully Automated Knowledge-Based Segmentation of the Caudate Nuclei in 3-D MRI (2008)
Michael Wels, Martin Huber, Joachim Hornegger
Abstract. In this paper we present a fully automated approach to segmentation of the caudate nuclei in 3-D magnetic resonance images. It is based on the technique of probabilistic boosting trees. As...
title = {Bildverarbeitung f\"ur die Medizin BVM 2004- (2008)
Erschienen In, Algorithmen Systeme Anwendungen, Sahla Bouattour, Benno Heigl, Joachim Hornegger, Dietrich Paulus
pages = {405-409}, crossref = {proceedings2004BFD},
Mumford–Shah Model for One-to-one Edge Matching (2008)
Jingfeng Han, Benjamin Berkels, Marc Droske, Joachim Hornegger, Martin Rumpf, Carlo Schaller, ...
Abstract—This paper presents a new algorithm based on the Mumford–Shah model for simultaneously detecting the edge features of two images and jointly estimating a consistent set of...
Friedrich-Alexander-Universitat Erlangen-Nurnberg (2007)
Joachim Hornegger, Heinrich Niemann
Linear discriminant or Karhunen-Lo`eve transforms are established techniques for mapping features into a lower dimensional subspace. This paper introduces a uniform statistical framework, where the...
Joachim Hornegger, Heinrich Niemann, Ilan Shimshoni
This work addresses various probabilistic approaches which are suitable for classification and localization of 3--D objects in gray--level images. We first present a statistical model for appearance...
Detecting Elliptic Objects Using Inverse Hough--Transform (2007)
Joachim Hornegger, Joachim Hornegger
We describe a fast method for detecting one circular or elliptical object in an image. Based on the well known Hough--Transform for lines a new method with low complexity is developed to compute the...
Dietrich Paulus, Joachim Hornegger, Heinrich Niemann
Submitted for inclusion into the proceedings
3 Software Engineering for Image Processing and Analysis (2007)
Dietrich Paulus, Joachim Hornegger, Heinrich Niemann
Conguring or programming image processing systems is a time-consuming task which requires specialized knowledge on the eoeects of image processing algorithms as well as knowledge about the...
Joachim Hornegger, Joachim Hornegger, Dietrich Paulus, Dietrich Paulus, Heinrich Niemann, Heinrich Niemann, ...
Joachim Hornegger, Volkmar Welker, Heinrich Niemann
In general, projections as input data for 3--D object recognition algorithms do not simplify the problem due to the loss of range information. However, in this work we demonstrate that this...
Image Warping for 3--D Reconstruction Robustness and Efficiency (2007)
Joachim Hornegger, Carlo Tomasi
Abstract. Many problems in medical imaging are stated in terms of parameter estimation. Given a proper parametric function local or global optimization procedures are applied to compute the best fit...
Shortest path search with constraints on surface models of in-the-ear hearing aids (2007)
Sickel, Konrad, Daum, Volker, Hornegger, Joachim
Zum Vol. I von: Computer science meets automation: 52. IWK, Internationales Wissenschaftliches Kolloquium ; proceedings ; 10 - 13 September 2007 Zum Vol. II von: Computer science meets automation:...
06311 Executive Summary -- Sensor Data and Information Fusion in Computer Vision and Medicine (2007)
Denzler, Joachim, Hornegger, Joachim, Kittler, Josef, Maurer JR., Calvin R.
Today many technical systems are equipped with multiple sensors and information sources, like cameras, ultrasound sensors or web data bases. It is no problem to generate an exorbitantly large amount...
Denzler, Joachim, Hornegger, Joachim, Kittler, Josef, Maurer JR., Calvin R.
From 30.07.06 to 04.08.06, the Dagstuhl Seminar 06311 ``Sensor Data and Information Fusion in Computer Vision and Medicine'' was held in the International Conference and Research Center (IBFI),...
A Variational Framework for Joint Image (2006)
Registration Denoising And, Jingfeng Han, Benjamin Berkels, Martin Rumpf, Joachim Hornegger, Marc Droske, ...
In this paper we propose a new symmetrical framework that solves image denoising, edge detection and non--rigid image registration simultaneously. This framework is based on the Ambrosio--Tortorelli...
Exact and Approximate Quadratures for Curvature Tensor Estimation (2005)
Langer, Torsten, Belyaev, Alexander, Seidel, Hans-Peter, Greiner, Günther, Hornegger, Joachim, Niemann, Heinrich, ...
Accurate estimations of geometric properties of a surface from its discrete approximation are important for many computer graphics and geometric modeling applications. In this paper, we derive exact...
Efficient Acquisition and Realistic Rendering of Car Paint (2005)
Günther, Johannes, Chen, Tongbo, Goesele, Michael, Wald, Ingo, Seidel, Hans-Peter, Greiner, Günther, ...
The outside appearance of cars is mostly defined through only two distinct materials -- glass and car paint. While glass can rather easily be simulated by the simple physical laws of reflection and...
C.: Binary tomography by iterating linear programs from noisy projections (2004)
Stefan Weber, Thomas Schüle, Joachim Hornegger, Christoph Schnörr
www.siemensmedical.com Abstract. In this paper we improve the behavior of a reconstruction algorithm for binary tomography in the presence of noise. This algorithm which has recently been published...
A two-stage probabilistic approach for object recognition (1998)
Abstract. Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to firstly separate the objects from one...
A Two-Stage Probabilistic Approach For Object Recognition (1998)
. Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to firstly separate the objects from one another,...
Probabilistic Methods for 3-D Object Recognition (1997)
A new Bayesian framework for 3--D object classification and localization is introduced. Objects are represented as probability density functions, and observed features are treated as random...
Probabilistic Semantic Analysis of Speech (1997)
Jürgen Haas, Joachim Hornegger, Richard Huber, Heinrich Niemann
. This paper presents a new probabilistic approach to semantic analysis of speech. The problem of finding the semantic contents of a word chain is modeled as the problem of assigning semantic...
Optimization Problems in Statistical Object Recognition (1997)
Joachim Hornegger, Heinrich Niemann, In Marcello Pelillo
This paper treats the application of statistical principles for 3D computer vision purposes. Both the automatic generation of probabilistic object models, and the localization as well as the...
Probabilistic semantic analysis of speech (1997)
Jurgen Haas, Joachim Hornegger, Richard Huber, Heinrich Niemann
Abstract. This paper presents a new probabilistic approach to semantic analysis of speech. The problem of nding the semantic contents of aword chain is modeled as the problem of assigning semantic...
Statistische Modellierung, Klassifikation und Lokalisation von Objekten / (1996)
Zugl.: Erlangen, Nürnberg, Universiẗat, Diss., 1996.
Statistical learning, localization, and identification of objects (1995)
Joachim Hornegger, Heinrich Niemann, J. Hornegger, H. Niemann
This work describes a statistical approach to deal with learning and recognition problems in the field of computer vision. An abstract theoretical framework is provided, which is suitable for...
Optimal linear feature transformations for semi-continuous hidden markov models. ICASSP-95 (1995)
Joachim Hornegger, Heinrich Niemann
Linear discriminant or Karhunen-Loeve transforms are established techniques for mapping features into a lower dimensional subspace. This paper introduces a uniform statistical framework, where the...
The Missing Information Principle in Computer Vision (1994)
Joachim Hornegger, Heinrich Niemann, J. Hornegger, H. Niemann
Central problems in the field of computer vision are learning object models from examples, classification, and localization of objects. In this paper we will motivate the use of a classical...