Search Results - "Handels, Heinz"

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  1. 1

    Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study by Maier, Oskar, Schröder, Christoph, Forkert, Nils Daniel, Martinetz, Thomas, Handels, Heinz

    Published in PloS one (16-12-2015)
    “…Ischemic stroke, triggered by an obstruction in the cerebral blood supply, leads to infarction of the affected brain tissue. An accurate and reproducible…”
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    Journal Article
  2. 2

    Unsupervised pathology detection in medical images using conditional variational autoencoders by Uzunova, Hristina, Schultz, Sandra, Handels, Heinz, Ehrhardt, Jan

    “…Purpose Pathology detection in medical image data is an important but a rather complicated task. In particular, the big variability of the pathologies is a…”
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    Evaluation of Direct Haptic 4D Volume Rendering of Partially Segmented Data for Liver Puncture Simulation by Mastmeyer, Andre, Fortmeier, Dirk, Handels, Heinz

    Published in Scientific reports (06-04-2017)
    “…This work presents an evaluation study using a force feedback evaluation framework for a novel direct needle force volume rendering concept in the context of…”
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  5. 5

    Statistical Modeling of 4D Respiratory Lung Motion Using Diffeomorphic Image Registration by Ehrhardt, Jan, Werner, René, Schmidt-Richberg, Alexander, Handels, Heinz

    Published in IEEE transactions on medical imaging (01-02-2011)
    “…Modeling of respiratory motion has become increasingly important in various applications of medical imaging (e.g., radiation therapy of lung cancer). Current…”
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  6. 6

    Image registration and appearance adaptation in non-correspondent image regions for new MS lesions detection by Andresen, Julia, Uzunova, Hristina, Ehrhardt, Jan, Kepp, Timo, Handels, Heinz

    Published in Frontiers in neuroscience (07-09-2022)
    “…Manual detection of newly formed lesions in multiple sclerosis is an important but tedious and difficult task. Several approaches for automating the detection…”
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    A systematic comparison of generative models for medical images by Uzunova, Hristina, Wilms, Matthias, Forkert, Nils D., Handels, Heinz, Ehrhardt, Jan

    “…Purpose This work aims for a systematic comparison of popular shape and appearance models. Here, two statistical and four deep-learning-based shape and…”
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  9. 9

    Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies by Andresen, Julia, Kepp, Timo, Ehrhardt, Jan, Burchard, Claus von der, Roider, Johann, Handels, Heinz

    “…Purpose The registration of medical images often suffers from missing correspondences due to inter-patient variations, pathologies and their progression…”
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    Chaos analysis of the brain topology in first-episode psychosis and clinical high risk patients by Korda, Alexandra I., Andreou, Christina, Avram, Mihai, Handels, Heinz, Martinetz, Thomas, Borgwardt, Stefan

    Published in Frontiers in psychiatry (13-10-2022)
    “…Structural MRI studies in first-episode psychosis (FEP) and in clinical high risk (CHR) patients have consistently shown volumetric abnormalities in frontal,…”
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  12. 12

    Automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization by Pallenberg, René, Fleitmann, Marja, Soika, Kira, Stroth, Andreas Martin, Gerlach, Jan, Fürschke, Alexander, Barkhausen, Jörg, Bischof, Arpad, Handels, Heinz

    “…Purpose Iodine-containing contrast agent (CA) used in contrast-enhanced CT angiography (CTA) can pose a health risk for patients. A system that adjusts the…”
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    Chronological Registration of OCT and Autofluorescence Findings in CSCR: Two Distinct Patterns in Disease Course by Santarossa, Monty, Tatli, Ayse, von der Burchard, Claus, Andresen, Julia, Roider, Johann, Handels, Heinz, Koch, Reinhard

    Published in Diagnostics (Basel) (22-07-2022)
    “…Optical coherence tomography (OCT) and fundus autofluorescence (FAF) are important imaging modalities for the assessment and prognosis of central serous…”
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    Ray-casting based evaluation framework for haptic force feedback during percutaneous transhepatic catheter drainage punctures by Mastmeyer, Andre, Hecht, Tobias, Fortmeier, Dirk, Handels, Heinz

    “…Purpose    Development of new needle insertion force feedback algorithms requires comparison with a gold standard method. A new evaluation framework was…”
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  16. 16

    Live-wire-based segmentation using similarities between corresponding image structures by Färber, Matthias, Ehrhardt, Jan, Handels, Heinz

    Published in Computerized medical imaging and graphics (01-10-2007)
    “…Abstract A live-wire-based segmentation method that exploits similarities of corresponding object contours is presented. The method accelerates the…”
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  17. 17

    Memory-efficient GAN-based domain translation of high resolution 3D medical images by Uzunova, Hristina, Ehrhardt, Jan, Handels, Heinz

    Published in Computerized medical imaging and graphics (01-12-2020)
    “…•Generative adversarial networks (GANs) are rarely applied on 3D medical images due to their immense computational demand.•The present work proposes a…”
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    Estimation of motion fields by non-linear registration for local lung motion analysis in 4D CT image data by Werner, René, Ehrhardt, Jan, Schmidt-Richberg, Alexander, Heiß, Anabell, Handels, Heinz

    “…Purpose Motivated by radiotherapy of lung cancer non- linear registration is applied to estimate 3D motion fields for local lung motion analysis in thoracic 4D…”
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    Multi-resolution multi-object statistical shape models based on the locality assumption by Wilms, Matthias, Handels, Heinz, Ehrhardt, Jan

    Published in Medical image analysis (01-05-2017)
    “…•A novel approach for learning statistical shape models from few training samples.•Combined representation of global and local variability in a single shape…”
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    Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions by Ha, In Young, Wilms, Matthias, Handels, Heinz, Heinrich, Mattias P.

    “…Objective: Intra-interventional respiratory motion estimation is becoming a vital component in modern radiation therapy delivery or high intensity focused…”
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