Now showing items 1-20 of 23

    • Visual Analytics of Missing Data in Epidemiological Cohort Studies 

      Alemzadeh, Shiva; Niemann, Uli; Ittermann, Till; Völzke, Henry; Schneider, Daniel; Spiliopoulou, Myra; Preim, Bernhard (The Eurographics Association, 2017)
      We introduce a visual analytics solution to analyze and treat missing values. Our solution is based on general approaches to handle missing values, but is fine-tuned to the problems in epidemiological cohort study data. ...
    • Visualizing and Exploring Dynamic Multichannel EEG Coherence Networks 

      Ji, Chengtao; Gronde, Jasper J. van de; Maurits, Natasha M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2017)
      An electroencephalography (EEG) coherence network represents functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of ...
    • Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke 

      Löber, Patrick; Stimpel, Bernhard; Syben, Christopher; Maier, Andreas; Ditt, Hendrik; Schramm, Peter; Raczkowski, Boy; Kemmling, André (The Eurographics Association, 2017)
      In case of an ischemic stroke, identifying and removing blood clots is crucial for a successful recovery. We present a novel method to automatically detect vascular occlusion in non-enhanced computed tomography (NECT) ...
    • HIFUtk: Visual Analytics for High Intensity Focused Ultrasound Simulation 

      Modena, Daniela; Dijk, Edmond van; Bošnacki, Dragan; Eikelder, Huub M. M. ten; Westenberg, Michel A. (The Eurographics Association, 2017)
      Magnetic Resonance-guided High Intensity Focused Ultrasound (MR-HIFU) is a novel and non-invasive therapeutic method. It can be used to locally increase the temperature in a target position in the human body. HIFU procedures ...
    • Design Considerations for Immersive Analytics of Bird Movements Obtained by Miniaturised GPS Sensors 

      Nim, Hieu T.; Sommer, Björn; Klein, Karsten; Flack, Andrea; Safi, Kamran; Nagy, Máté; Fiedler, Wolfgang; Wikelski, Martin; Schreiber, Falk (The Eurographics Association, 2017)
      Recent advances in miniaturising sensor tags allow to obtain high-resolution bird trajectories, presenting an opportunity for immersive close-up observation of individual and group behaviour in mid-air. The combination of ...
    • Concentric Circle Glyphs for Enhanced Depth-Judgment in Vascular Models 

      Lichtenberg, Nils; Hansen, Christian; Lawonn, Kai (The Eurographics Association, 2017)
      Using 3D models of medical data for surgery or treatment planning requires a comprehensive visualization of the data. This is crucial to support the physician in creating a cognitive image of the presented model. Vascular ...
    • Combining Pseudo Chroma Depth Enhancement and Parameter Mapping for Vascular Surface Models 

      Behrendt, Benjamin; Berg, Philipp; Preim, Bernhard; Saalfeld, Sylvia (The Eurographics Association, 2017)
      The presence of depth cues in a visualization can be a great aid in understanding the structure and topology of a vessel tree. Pseudo Chromadepth is a well-known technique for enhancing depth perception in vascular 3D ...
    • Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network 

      Choukroun, Yoni; Bakalo, Ran; Ben-Ari, Rami; Akselrod-Ballin, Ayelet; Barkan, Ella; Kisilev, Pavel (The Eurographics Association, 2017)
      Abstract Mammography is the common modality used for screening and early detection of breast cancer. The emergence of machine learning, particularly deep learning methods, aims to assist radiologists to reach higher ...
    • Eurographics Workshop on Visual Computing for Biology and Medicine 2017: Frontmatter 

      Bruckner, Stefan; Hennemuth, Anja; Kainz, Bernhard; Hotz, Ingrid; Merhof, Dorit; Rieder, Christian (Eurographics Association, 2017)
    • A Web-Based Tool for Cardiac Dyssynchrony Assessment on Ultrasound Data 

      Pezzatini, Daniele; Yagüe, Carlos; Rudenick, Paula; Blat, Josep; Bijnens, Bart; Camara, Oscar (The Eurographics Association, 2017)
      Cardiac resynchronization therapy (CRT) is a broadly used therapy in patients that suffers from heart failure (HF). The positive outcome of CRT depends strongly on the parameters criteria used to select patients and a lot ...
    • Protein Tunnel Reprojection for Physico-Chemical Property Analysis 

      Malzahn, Jan; Kozlíková, Barbora; Ropinski, Timo (The Eurographics Association, 2017)
      Cavities are crucial for interactions of proteins with other molecules. While a variety of different cavity types exists, tunnels in particular play an important role, as they enable a ligand to deeply enter the active ...
    • Multi-fiber Estimation and Tractography for Diffusion MRI using mixture of Non-central Wishart Distributions 

      Shakya, Snehlata; Gu, Xuan; Batool, Nazre; Özarslan, Evren; Knutsson, Hans (The Eurographics Association, 2017)
      Multi-compartmental models are popular to resolve intra-voxel fiber heterogeneity. One such model is the mixture of central Wishart distributions. In this paper, we use our recently proposed model to estimate the orientations ...
    • UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model 

      Amrehn, Mario; Gaube, Sven; Unberath, Mathias; Schebesch, Frank; Horz, Tim; Strumia, Maddalena; Steidl, Stefan; Kowarschik, Markus; Maier, Andreas (The Eurographics Association, 2017)
      For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data sets need to be processed for a highly ...
    • Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets 

      Sulam, Jeremias; Ben-Ari, Rami; Kisilev, Pavel (The Eurographics Association, 2017)
      Breast cancer is the second most common cause of death in women. Computer-aided diagnosis typically demand for carefully annotated data, precise tumor allocation and delineation of the boundaries, which is rarely available ...
    • Watergate: Visual Exploration of Water Trajectories in Protein Dynamics 

      Vad, Viktor; Byška, Jan; Jurcík, Adam; Viola, Ivan; Gröller, Eduard; Hauser, Helwig; Marques, Sérgio M.; Damborský, Jiří; Kozlíková, Barbora (The Eurographics Association, 2017)
      The function of proteins is tightly related to their interactions with other molecules. The study of such interactions often requires to track the molecules that enter or exit specific regions of the proteins. This is ...
    • Comparative Visualization for Diffusion Tensor Imaging Group Study at Multiple Levels of Detail 

      Zhang, Changgong; Höllt, Thomas; Caan, Matthan W. A.; Eisemann, Elmar; Vilanova, Anna (The Eurographics Association, 2017)
      Diffusion Tensor Imaging (DTI) group studies often require the comparison of two groups of 3D diffusion tensor fields. The total number of datasets involved in the study and the multivariate nature of diffusion tensors ...
    • Exploration of Interventricular Septum Motion in Multi-Cycle Cardiac MRI 

      Tautz, Lennart; Hüllebrand, Markus; Steinmetz, Michael; Voit, Dirk; Frahm, Jens; Hennemuth, Anja (The Eurographics Association, 2017)
      Function of the heart, including interventricular septum motion, is influenced by respiration and contraction of the heart muscle. Recent real-time magnetic resonance imaging (MRI) can acquire multi-cycle cardiac data, ...
    • Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding 

      Martinke, Hannes; Petry, Christian; Großkopf, Stefan; Suehling, Michael; Soza, Grzegorz; Preim, Bernhard; Mistelbauer, Gabriel (The Eurographics Association, 2017)
      The assessment of rib bone fractures and lesions consists of many images that have to be thoroughly inspected slice-by-slice and rib-by-rib. Existing visualization methods, such as curved planar reformation (CPR), reduce ...
    • A Guided Spatial Transformer Network for Histology Cell Differentiation 

      Aubreville, Marc; Krappmann, Maximilian; Bertram, Christof; Klopfleisch, Robert; Maier, Andreas (The Eurographics Association, 2017)
      Identification and counting of cells and mitotic figures is a standard task in diagnostic histopathology. Due to the large overall cell count on histological slides and the potential sparse prevalence of some relevant cell ...
    • Application of Image Processing Functions for Brain Tumor Enhancement in Intraoperative Ultrasound Image Data 

      Chalopin, Claire; Mbuyamba, Elisee Ilunga; Aragon, Jesus Guillermo Cabal; Rodriguez, Juan Carlos Camacho; Arlt, Felix; Cervantes, Juan Gabriel Avina; Meixensberger, Juergen; Lindner, Dirk (The Eurographics Association, 2017)
      Intraoperative ultrasound (iUS) imaging supports neurosurgeons significantly during brain tumor operations. At the beginning of the intervention the integration of the iUS image data within the navigation system guides the ...