• 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 ...

• 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 ...

• 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 ...

• 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 ...

• 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 ...

• MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach 

  Pham, Duc Duy; Morariu, Cosmin Adrian; Terheiden, Tobias; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef (The Eurographics Association, 2017)

  In this paper, we propose a novel hybrid level set approach that locally balances the combined use of both Gradient Vector Flow and region based energy cost function by means of the Bhattacharyya coefficient. The local ...

• 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) ...

• 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 ...

• 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 ...

• Visual Navigation Support for Liver Applicator Placement using Interactive Map Displays 

  Hettig, Julian; Mistelbauer, Gabriel; Rieder, Christian; Lawonn, Kai; Hansen, Christian (The Eurographics Association, 2017)

  Navigated placement of an ablation applicator in liver surgery would benefit from an effective intraoperative visualization of delicate 3D anatomical structures. In this paper, we propose an approach that facilitates surgery ...

• 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 ...

• CT-Based Navigation Guidance for Liver Tumor Ablation 

  Alpers, Julian; Hansen, Christian; Ringe, Kristina; Rieder, Christian (The Eurographics Association, 2017)

  Image-guided thermal ablation procedures such as microwave ablation (MWA) or radiofrequency ablation (RFA) have become clinically accepted treatment options for liver tumors. The goal of these minimally invasive procedures ...

• 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 ...

• 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 ...

• 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. ...

• 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 ...

• 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 ...

• 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 ...

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