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Dagmar Krefting
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2020 – today
- 2024
- [j18]Jesús Carretero, Dagmar Krefting:
Cluster and cloud computing for life sciences. Future Gener. Comput. Syst. 152: 254-256 (2024) - [j17]Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild:
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. IEEE J. Biomed. Health Informatics 28(4): 1848-1859 (2024) - 2023
- [j16]Hendrik Nolte, Nicolai Spicher, Andrew Russel, Tim Ehlers, Sebastian Krey, Dagmar Krefting, Julian Kunkel:
Secure HPC: A workflow providing a secure partition on an HPC system. Future Gener. Comput. Syst. 141: 677-691 (2023) - [c55]Philip Hempel, Theresa Bender, Ennio Idrobo-Ávila, Henning Dathe, Dagmar Krefting, Tim Kacprowski, Nicolai Spicher:
Quantifying Alterations Over Time in ST-Segment/T-Wave Amplitudes During Elective Percutaneous Coronary Intervention. CinC 2023: 1-4 - [c54]Theresa Bender, Dagmar Krefting, Christoph Jensen, Nicolai Spicher:
Introducing Social Gamification to a Biomedical Signal Processing Course: A Case Study. GECon 2023: 1-5 - [c53]Marius Koch, Jendrik Richter, Johannes Hauswaldt, Dagmar Krefting:
How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation. GMDS 2023: 12-21 - [c52]Caroline Bönisch, Sabine Hanß, Nicolai Spicher, Ulrich Sax, Dagmar Krefting:
Reusing Biomedical Data as Agreed - Towards Structured Metadata for Data Use Agreements. GMDS 2023: 31-38 - [c51]Marie-Louise Witte, Anne Schoneberg, Sabine Hanß, Martin Lablans, Janne Vehreschild, Dagmar Krefting:
Adaptability of Existing Feasibility Tools for Clinical Study Research Data Platforms. GMDS 2023: 39-48 - [c50]Khalid O. Yusuf, Irina Chaplinskaya-Sobol, Anne Schoneberg, Sabine Hanß, Heike Valentin, Bettina Lorenz-Depiereux, Stefan Hansch, Karin Fiedler, Margarete Scherer, Shimita Sikdar, Olga Miljukov, Jens-Peter Reese, Patricia Wagner, Isabel Bröhl, Ramsia Geisler, Jörg Janne Vehreschild, Sabine Blaschke, Carla Bellinghausen, Milena Milovanovic, Dagmar Krefting:
Impact of Clinical Study Implementation on Data Quality Assessments - Using Contradictions within Interdependent Health Data Items as a Pilot Indicator. GMDS 2023: 152-158 - [c49]Dagmar Krefting, Nico T. Mutters, Rüdiger Pryss, Martin Sedlmayr, Martin Boeker, Christoph Dieterich, Carolin Koll, Martina Mueller, Anna Slagman, Dagmar Waltemath, Antje Wulff, Sven Zenker:
Herding Cats in Pandemic Times - Towards Technological and Organizational Convergence of Heterogeneous Solutions for Investigating and Mastering the Pandemic in University Medical Centers. MedInfo 2023: 1271-1275 - [c48]Dagmar Krefting, Gabi Anton, Irina Chaplinskaya-Sobol, Sabine Hanß, Wolfgang Hoffmann, Sina M. Hopff, Monika Kraus, Roberto Lorbeer, Bettina Lorenz-Depiereux, Thomas Illig, Christian Schäfer, Jens Schaller, Dana Stahl, Heike Valentin, Peter Heuschmann, Janne Vehreschild:
The Importance of Being FAIR and FAST - The Clinical Epidemiology and Study Platform of the German Network University Medicine (NUKLEUS). MIE 2023: 93-97 - [c47]Kais Tahar, Raphael Verbuecheln, Tamara Martin, Holm Graessner, Dagmar Krefting:
Local Data Quality Assessments on EHR-Based Real-World Data for Rare Diseases. MIE 2023: 292-296 - [c46]Khalid O. Yusuf, Sabine Hanß, Dagmar Krefting:
Towards a Consistent Representation of Contradictions Within Health Data for Efficient Implementation of Data Quality Assessments. MIE 2023: 302-306 - [c45]Lea Michaelis, Rasim Atakan Poyraz, Michael Rusongoza Muzoora, Kerstin Gierend, Alexander Bartschke, Christoph Dieterich, Tim Johann, Dagmar Krefting, Dagmar Waltemath, Sylvia Thun:
Insights into the FAIRness of the German Network University Medicine: A Survey. MIE 2023: 741-742 - [c44]Theresa Bender, Philip Gemke, Ennio Idrobo-Ávila, Henning Dathe, Dagmar Krefting, Nicolai Spicher:
Benchmarking the Impact of Noise on Deep Learning-Based Classification of Atrial Fibrillation in 12-Lead ECG. MIE 2023: 977-981 - [i3]Theresa Bender, Philip Gemke, Ennio Idrobo-Ávila, Henning Dathe, Dagmar Krefting, Nicolai Spicher:
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG. CoRR abs/2303.13915 (2023) - 2022
- [c43]Stefan Rühlicke, Carolin Klembt, Dagmar Krefting:
Implementation and Evaluation of a Clinical Decision Support eLearning Course. GeCon 2022: 1-6 - [c42]Khalid Yusuf, Kais Tahar, Ulrich Sax, Wolfgang Hoffmann, Dagmar Krefting:
Assessment of the Consistency of Categorical Features Within the DZHK Biobanking Basic Set. GMDS 2022: 98-106 - [c41]Stefan Vogel, Dagmar Krefting:
Towards a Generic Description Schema for Clinical Decision Support Systems. MIE 2022: 119-120 - [c40]Zully Ritter, Stefan Vogel, Frank Schultze, Kerstin Pischek-Koch, Wiebke Schirrmeister, Felix Walcher, Rainer Röhrig, Tibor Kesztyüs, Dagmar Krefting, Sabine Blaschke:
Using Explainable Artificial Intelligence Models (ML) to Predict Suspected Diagnoses as Clinical Decision Support. MIE 2022: 573-574 - [c39]Hans-Ulrich Prokosch, Thomas Bahls, Martin Bialke, Jürgen Eils, Christian Fegeler, Julian Gründner, Birger Haarbrandt, Christopher Hampf, Wolfgang Hoffmann, Hauke Hund, Marvin O. Kampf, Lorenz A. Kapsner, Piotr Kasprzak, Oliver Kohlbacher, Dagmar Krefting, Jonathan Mang, Michael Marschollek, Sebastian Mate, Armin Müller, Fabian Prasser, Julian Sass, Sebastian C. Semler, Holger Stenzhorn, Sylvia Thun, Sven Zenker, Roland Eils:
The COVID-19 Data Exchange Platform of the German University Medicine. MIE 2022: 674-678 - [i2]Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild:
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. CoRR abs/2211.01738 (2022) - 2021
- [j15]James DesLauriers, Tamás Kiss, Ariyattu C. Resmi, Hai-Van Dang, Amjad Ullah, James Bowden, Dagmar Krefting, Gabriele Pierantoni, Gábor Terstyánszky:
Cloud apps to-go: Cloud portability with TOSCA and MiCADO. Concurr. Comput. Pract. Exp. 33(19) (2021) - [c38]Michael Rusongoza Muzoora, Marco Schaarschmidt, Dagmar Krefting, Johannes Oehm, Sarah Riepenhausen, Sylvia Thun:
Towards FAIR Patient Reported Outcome: Application of the Interoperability Principle for Mobile Pandemic Apps. EFMI-STC 2021: 85-86 - [c37]Theresa Bender, Tim Seidler, Philipp Bengel, Ulrich Sax, Dagmar Krefting:
Application of Pre-Trained Deep Learning Models for Clinical ECGs. GMDS 2021: 39-45 - [c36]Daniel Thole, Till Ole Diesterhöft, Stefan Vogel, Maike Greve, Elena Bauer, Stefan Strathmann, Christian Elsner, Lutz M. Kolbe, Dagmar Krefting:
Relevant Aspects for Sustainable Open Source Pandemic Apps and Platform Deployment with Focus on Community Building. GMDS 2021: 186-193 - [c35]Stefan Vogel, Andreas Reiswich, Zully Ritter, Michael Schmucker, Angela Fuchs, Kerstin Pischek-Koch, Stefanie Wache, Katrin Esslinger, Michael Dietrich, Tibor Kesztyüs, Dagmar Krefting, Martin Haag, Sabine Blaschke:
Development of a Clinical Decision Support System for Smart Algorithms in Emergency Medicine. ICIMTH 2021: 224-227 - [c34]Antje Wulff, Pascal Biermann, Tatiana von Landesberger, Tom Baumgartl, Christoph Schmidt, Alan Yussef Alhaji, Kristina Schick, Paul Waldstein, Yufei Zhu, Dagmar Krefting, Simone Scheithauer, Michael Marschollek:
Tracing COVID-19 Infection Chains Within Healthcare Institutions - Another Brick in the Wall Against SARS-CoV-2. MedInfo 2021: 699-703 - [c33]Michael Rusongoza Muzoora, Nabil El-Badawi, Christian Elsner, Andrea Essenwanger, Peter Gocke, Dagmar Krefting, Rasim Atakan Poyraz, Rüdiger Pryss, Ulrich Sax, Sylvia Thun:
Motivating Developers to Use Interoperable Standards for Data in Pandemic Health Apps. MIE 2021: 1027-1028 - [c32]Lúcio Henrik A. Reis, Marcela Tuler de Oliveira, James Bowden, Dagmar Krefting, Sílvia D. Olabarriaga, Diogo M. F. Mattos:
Cryptography on Untrustworthy Cloud Storage for Healthcare Applications: A Performance Analysis. SBESC 2021: 1-8 - [i1]Felix Beierle, Johannes Schobel, Carsten Vogel, Johannes Allgaier, Lena Mulansky, Fabian Haug, Julian Haug, Winfried Schlee, Marc Holfelder, Michael Stach, Marc Schickler, Harald Baumeister, Caroline Cohrdes, Jürgen Deckert, Lorenz Deserno, Johanna-Sophie Edler, Felizitas A. Eichner, Helmut Greger, Grit Hein, Peter Heuschmann, Dennis John, Hans A. Kestler, Dagmar Krefting, Berthold Langguth, Patrick Meybohm, Thomas Probst, Manfred Reichert, Marcel Romanos, Stefan Störk, Yannik Terhorst, Martin Weiß, Rüdiger Pryss:
Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. CoRR abs/2106.03386 (2021) - 2020
- [j14]Christoph Jansen, Jonas Annuscheit, Bruno Schilling, Klaus Strohmenger, Michael Witt, Felix Bartusch, Christian Herta, Peter Hufnagl, Dagmar Krefting:
Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications. Future Gener. Comput. Syst. 112: 209-227 (2020) - [j13]Jesús Carretero, Dagmar Krefting:
New Parallel and Distributed Tools and Algorithms for Life Sciences. Future Gener. Comput. Syst. 112: 1174-1176 (2020) - [j12]Maryna Khvastova, Michael Witt, Andrea Essenwanger, Julian Sass, Sylvia Thun, Dagmar Krefting:
Towards Interoperability in Clinical Research - Enabling FHIR on the Open-Source Research Platform XNAT. J. Medical Syst. 44(8): 137 (2020) - [c31]Taridzo Chomutare, Kassaye Yitbarek Yigzaw, Sílvia Delgado Olabarriaga, Alexandra Makhlysheva, Marcela Tuler de Oliveira, Line Silsand, Dagmar Krefting, Thomas Penzel, Christiaan Hillen, Johan Gustav Bellika:
Healthcare and data privacy requirements for e-health cloud: A qualitative analysis of clinician perspectives. HealthCom 2020: 1-8
2010 – 2019
- 2019
- [j11]Maximilian Beier, Thomas Penzel, Dagmar Krefting:
A Performant Web-Based Visualization, Assessment, and Collaboration Tool for Multidimensional Biosignals. Frontiers Neuroinformatics 13: 65 (2019) - [c30]Christoph Jansen, Bruno Schilling, Klaus Strohmenger, Michael Witt, Jonas Annuscheit, Dagmar Krefting:
Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images. CCGRID 2019: 621-630 - [c29]Maryna Khvastova, Michael Witt, Dagmar Krefting:
Towards Interoperability in Clinical Research: Enabling FHIR on the Open Source Research Platform XNAT. EFMI-STC 2019: 3-5 - 2018
- [j10]Sílvia Delgado Olabarriaga, Dagmar Krefting, Tristan Glatard:
Special isssue of the CCGrid-Life workshop 2017. Concurr. Comput. Pract. Exp. 30(12) (2018) - [j9]Michael Witt, Christoph Jansen, Dagmar Krefting, Achim Streit:
Sandboxing of biomedical applications in Linux containers based on system call evaluation. Concurr. Comput. Pract. Exp. 30(12) (2018) - 2017
- [j8]Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel, Andrea Rodenbeck, René Siewert, Michael Witt, Jie Wu, Dagmar Krefting:
Multicenter data sharing for collaboration in sleep medicine. Future Gener. Comput. Syst. 67: 466-480 (2017) - [c28]Michael Witt, Christoph Jansen, Dagmar Krefting, Achim Streit:
Fine-grained Supervision and Restriction of Biomedical Applications in Linux Containers. CCGrid 2017: 813-822 - [c27]Christoph Jansen, Maximilian Beier, Michael Witt, Sonja Frey, Dagmar Krefting:
Towards Reproducible Research in a Biomedical Collaboration Platform following the FAIR Guiding Principles. UCC (Companion") 2017: 3-8 - 2016
- [c26]Christoph Jansen, Michael Witt, Dagmar Krefting:
Employing Docker Swarm on OpenStack for Biomedical Analysis. ICCSA (2) 2016: 303-318 - [c25]Michael Witt, Dagmar Krefting:
Multi-Level Data-Security and Data-Protection in a Distributed Search Infrastructure for Digital Medical Samples. MIE 2016: 807-809 - 2015
- [j7]Christoph Jansen, Maximilian Beier, Michael Witt, Jie Wu, Dagmar Krefting:
Extending XNAT towards a Cloud-based Quality Assessment Platform for Retinal Optical Coherence Tomographies. Scalable Comput. Pract. Exp. 16(1) (2015) - [c24]Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel, Andrea Rodenbeck, René Siewert, Jie Wu, Dagmar Krefting:
Multicenter Data Sharing for Collaboration in Sleep Medicine. CCGRID 2015: 880-889 - 2014
- [c23]Jie Wu, Christoph Jansen, Maximilian Beier, Michael Witt, Dagmar Krefting:
Extending XNAT towards a Cloud-Based Quality Assessment Platform for Retinal Optical Coherence Tomographies. CCGRID 2014: 764-773 - 2013
- [b1]Dagmar Krefting:
Untersuchung von Einzel- und Mehrblasensystemen in akustischen Resonatoren (Investigation of single and multi bubble systems in acoustic resonators). Göttingen University, Germany, 2013 - [j6]Dagmar Krefting, Sebastian Canisius, Andreas Hoheisel, Helena Loose, Thomas Tolxdorff, Thomas Penzel:
Grid based sleep research - Analysis of polysomnographies using a grid infrastructure. Future Gener. Comput. Syst. 29(7): 1671-1679 (2013) - [j5]Vladimir Korkhov, Dagmar Krefting, Tamas Kukla, Gábor Terstyánszky, Matthan W. A. Caan, Sílvia D. Olabarriaga:
Exploring Workflow Interoperability for Neuroimage Analysis on the SHIWA Platform. J. Grid Comput. 11(3): 505-522 (2013) - 2012
- [j4]Jie Wu, René Siewert, Andreas Hoheisel, Jürgen Falkner, Oliver Strauß, Dinko Berberovic, Dagmar Krefting:
The Charité Grid Portal: User-friendly and Secure Access to Grid-based Resources and Services. J. Grid Comput. 10(4): 709-724 (2012) - [c22]Heiko Tzschätzsch, Thomas Elgeti, Sebastian Hirsch, Dagmar Krefting, Dieter Klatt, Jürgen Braun, Ingolf Sack:
Direct Magnetic Resonance Elastography - Feasibility for Measuring Myocardial Elasticity Changes. Bildverarbeitung für die Medizin 2012: 3-8 - [c21]Dagmar Krefting, Sebastian Canisius, Jie Wu, René Siewert, Svenja Specovius, Karl Kesper, Thomas Penzel:
Personal health systems for diagnostics of sleep disorders using new sensors and grid technology. DEST 2012: 1-6 - [c20]Jie Wu, René Siewert, Dagmar Krefting:
Hands-On Tutorial on Grid Portal development focused on Biomedical Image and Signal Processing. HealthGrid 2012: 104 - [c19]Jie Wu, René Siewert, Svenja Specovius, Benjamin Löhnhardt, Romanus Grütz, Frank Dickmann, Alexander Ulrich Brandt, Michael Scheel, David Oswald, Dagmar Krefting:
Web-based Interactive Visualization of Grid-enabled Neuroimaging Applications. HealthGrid 2012: 107 - [c18]Vladimir Korkhov, Dagmar Krefting, Johan Montagnat, Tram Truong Huu, Tamas Kukla, Gábor Terstyánszky, David Manset, Matthan W. A. Caan, Sílvia D. Olabarriaga:
SHIWA workflow interoperability solutions for neuroimaging data analysis. HealthGrid 2012: 109-110 - [c17]René Siewert, Svenja Specovius, Jie Wu, Dagmar Krefting:
Web-based Interactive Visualization in a Grid-enabled Neuroimaging Application Using HTML5. HealthGrid 2012: 173-181 - [c16]Romanus Grutz, Benjamin Löhnhardt, Niels K. Focke, Fred Viezens, Andreas Hoheisel, Frank Dickmann, Dagmar Krefting:
Enabling Parallel Computing of a Brain Connectivity Map Using the MediGRID-Infrastructure and FSL. PDP 2012: 596-602 - [e1]Sandra Gesing, Tristan Glatard, Jens Krüger, Sílvia Delgado Olabarriaga, Tony Solomonides, Jonathan C. Silverstein, Johan Montagnat, Alban Gaignard, Dagmar Krefting:
HealthGrid Applications and Technologies Meet Science Gateways for Life Sciences, Proceedings of HealthGrid 2012, Amsterdam, The Netherlands, 21-23 May 2012. Studies in Health Technology and Informatics 175, IOS Press 2012, ISBN 978-1-61499-053-6 [contents] - 2011
- [c15]Vladimir Korkhov, Dagmar Krefting, Tamas Kukla, Gábor Terstyánszky, Matthan W. A. Caan, Sílvia Delgado Olabarriaga:
Exploring workflow interoperability tools for neuroimaging data analysis. WORKS@SC 2011: 87-96 - 2010
- [j3]Dagmar Krefting, Michal Vossberg, Andreas Hoheisel, Thomas Tolxdorff:
Simplified implementation of medical image processing algorithms into a grid using a workflow management system. Future Gener. Comput. Syst. 26(4): 681-684 (2010) - [c14]René Siewert, Dirk Schnapauff, Timm Denecke, Thomas Tolxdorff, Dagmar Krefting:
Automatic Liver Segmentation in Contrast-enhanced MRI. Bildverarbeitung für die Medizin 2010: 405-409 - [c13]Dagmar Krefting, Ralf Lützkendorf, Kathrin Peter, Johannes Bernarding:
Performance Analysis of Diffusion Tensor Imaging in an Academic Production Grid. CCGRID 2010: 751-756 - [c12]Svenja Specovius, René Siewert, Juliane Doege, Dirk Schnapauff, Timm Denecke, Dagmar Krefting:
Grid based Evaluation of a Liver Segmentation Method for Contrast Enhanced Abdominal MRI. HealthGrid 2010: 159-170
2000 – 2009
- 2009
- [j2]Dagmar Krefting, Julian Bart, Kamen Beronov, Olga Dzhimova, Jürgen Falkner, Michael Hartung, Andreas Hoheisel, Tobias A. Knoch, Thomas Lingner, Yassene Mohammed, Kathrin Peter, Erhard Rahm, Ulrich Sax, Dietmar Sommerfeld, Thomas Steinke, Thomas Tolxdorff, Michal Vossberg, Fred Viezens, Anette Weisbecker:
MediGRID: Towards a user friendly secured grid infrastructure. Future Gener. Comput. Syst. 25(3): 326-336 (2009) - [c11]Dagmar Krefting, Sebastian Canisius, Andreas Hoheisel, Thomas Tolxdorff, Thomas Penzel:
Grid-Based Sleep Research: Analysis of Polysomnographies Using a Grid Infrastructure. CCGRID 2009: 502-507 - [c10]Frank Dickmann, Mathias Kaspar, Benjamin Löhnhardt, Nick Kepper, Fred Viezens, Frank Hertel, Michael Lesnussa, Yassene Mohammed, Andreas Thiel, Thomas Steinke, Johannes Bernarding, Dagmar Krefting, Tobias A. Knoch, Ulrich Sax:
Visualization in Health Grid Environments: A Novel Service and Business Approach. GECON 2009: 150-159 - [c9]Frank Hertel, Dagmar Krefting, Ralf Lützkendorf, Fred Viezens, Andreas Thiel, Kathrin Peter, Johannes Bernarding:
Diffusions-Tensor-Imaging als Gridanwendung - Perfomanzsteigerung und standortunabhängiger Zugang zu leistungsfähigen Ressourcen. GI Jahrestagung 2009: 1233-1240 - [c8]Sebastian Canisius, Thomas Penzel, Karl Kesper, Dagmar Krefting:
Application of Grid technology for automated detection of sleep disordered breathing. HealthGrid 2009: 22-30 - [c7]Sílvia Delgado Olabarriaga, Tristan Glatard, Andreas Hoheisel, Aart J. Nederveen, Dagmar Krefting:
Crossing HealthGrid Borders: Early Results in Medical Imaging. HealthGrid 2009: 62-71 - [c6]Ralf Lützkendorf, Johannes Bernarding, Frank Hertel, Fred Viezens, Andreas Thiel, Dagmar Krefting:
Enabling of Grid based Diffusion Tensor Imaging using a Workflow Implementation of FSL. HealthGrid 2009: 72-81 - [c5]Kamen Beronov, Olga Dzhimova, Thomas Tolxdorff, Michal Vossberg, Dagmar Krefting:
Grid computing for detailed hemodynamics-simulation-based planning of endovascular interventions. HealthGrid 2009: 82-91 - 2008
- [j1]Michal Vossberg, Thomas Tolxdorff, Dagmar Krefting:
DICOM Image Communication in Globus-Based Medical Grids. IEEE Trans. Inf. Technol. Biomed. 12(2): 145-153 (2008) - [c4]Michal Vossberg, Andreas Hoheisel, Thomas Tolxdorff, Dagmar Krefting:
A Reliable DICOM Transfer Grid Service Based on Petri Net Workflows. CCGRID 2008: 441-448 - 2007
- [c3]Barbara Haupt, Dagmar Krefting, Thomas Tolxdorff:
Segmentierung von Biopsienadeln in transrektalen Ultraschallaufnahmen der Prostata. Bildverarbeitung für die Medizin 2007: 131-135 - [c2]Michal Vossberg, Dagmar Krefting, Thomas Tolxdorff:
Das MediGRID Projekt. Bildverarbeitung für die Medizin 2007: 429-433 - [c1]Dagmar Krefting, Barbara Haupt, Thomas Tolxdorff, Carsten Kempkensteffen, Kurt Miller:
Segmentation of prostate biopsy needles in transrectal ultrasound images. Medical Imaging: Image Processing 2007: 65122Y
Coauthor Index
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