Andere Veröffentlichungen
2024
Begutachteter Zeitschriftenartikel
Generating feature models with UVL's full expressiveness
Sundermann, Chico; Heß, Tobias; Sundermann, Rahel; Kuiter, Elias; Krieter, Sebastian; Thüm, Thomas
In: Proceedings of the 28th ACM International Systems and Software Product Line Conference - [Erscheinungsort nicht ermittelbar] : Association for Computing Machinery ; Cordy, Maxime . - 2024, S. 61-65 [Konferenz: 28th ACM International Systems and Software Product Line Conference, SPLC'24, Dommeldange, Luxembourg, September 2 - 6, 2024]
DDoS-UNet - incorporating temporal information using dynamic dual-channel UNet for enhancing super-resolution of dynamic MRI
Chatterjee, Soumick; Sarasaen, Chompunuch; Rose, Georg; Nürnberger, Andreas; Speck, Oliver
In: IEEE access / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 12 (2024), S. 99122-99136
Deep Reinforcement Learning for Solving Allocation Problems in Supply Chain: An Image-Based Observation Space
Nahhas, Abdulrahman; Kharitonov, Andrey; Turowski, Klaus
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 232 (2024), insges. 10 S.
Hyper-parameter Optimization in the context of Smart Manufacturing: a Systematic Literature Review
Chernigovskaya, Maria; Nahhas, Abdulrahman; Kharitonov, Andrey; Turowski, Klaus
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 232 (2024), S. 804-812
A case study on the development of the German Corona-Warn-App
Enaya, Mohamad Fawaz; Klingbeil, Thomas; Krüger, Jacob; Broneske, David; Feinbube, Frank; Saake, Gunter
In: The journal of systems and software - Amsterdam [u.a.] : Elsevier, Bd. 213 (2024), Artikel 112020, insges. 13 S.
Deformable 3D/3D CT-to-digital-tomosynthesis image registration in image-guided bronchoscopy interventions
Saad, Fatima; Frysch, Robert; Saalfeld, Sylvia; Kellnberger, Stephan; Schulz, Jessica; Fahrig, Rebecca; Bhadra, Krish; Nürnberger, Andreas; Rose, Georg
In: Computers in biology and medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 171 (2024), Artikel 108199, insges. 13 S.
VesselBoost - a python toolbox for small blood vessel segmentation in human magnetic resonance angiography data
Xu, Marshall; Ribeiro, Fernanda L.; Barth, Markus; Bernier, Michaël; Bollmann, Steffen; Chatterjee, Soumick; Cognolato, Francesco; Gulban, Omer F.; Itkyal, Vaibhavi; Liu, Siyu; Mattern, Hendrik; Polimeni, Jonathan R.; Shaw, Thomas B.; Speck, Oliver; Bollmann, Saskia
In: Aperture Neuro - Organization for Human Brain Mapping . - 2024, Heft 4, insges. 13 S.
An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls
Abbas, Mustafa N.; Attea, Bara’a A.; Broneske, David; Saake, Gunter
In: IEEE access / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 12 (2024), S. 28873-28897
Parsimonious predictors for medical decision support - minimizing the set of questionnaires used for tinnitus outcome prediction
Schleicher, Miro; Brüggemann, Petra; Böcking, Benjamin; Niemann, Uli; Mazurek, Birgit; Spiliopoulou, Myra
In: Expert systems with applications - Amsterdam [u.a.] : Elsevier Science, Bd. 239 (2024), Artikel 122336
Explaining the business-technological age of legacy information systems
Rosenkranz, Sebastian; Staegemann, Daniel; Volk, Matthias; Turowski, Klaus
In: IEEE access / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 12 (2024), S. 84579-84611
Media forensic considerations of the usage of artificial intelligence using the example of DeepFake detection
Siegel, Dennis; Krätzer, Christian; Seidlitz, Stefan; Dittmann, Jana
In: Journal of imaging - Basel : MDPI, Bd. 10 (2024), Heft 2, Artikel 46, insges. 19 S.
On the benefits of knowledge compilation for feature-model analyses
Sundermann, Chico; Kuiter, Elias; Heß, Tobias; Raab, Heiko; Krieter, Sebastian; Thüm, Thomas
In: Annals of mathematics and artificial intelligence - Dordrecht [u.a.] : Springer Science + Business Media B.V, Bd. 92 (2024), Heft 5, insges. 38 S.
Filtering useful app reviews using Naïve Bayes - Which Naïve Bayes?
Ataei, Pouya; Regula, Sri; Staegemann, Daniel; Malgaonkar, Saurabh
In: AI - Basel : MDPI, Bd. 5 (2024), Heft 4, S. 2237-2259
Identifying older adults at risk for dementia based on smartphone data obtained during a wayfinding task in the real world
Marquardt, Jonas; Mohan, Priyanka; Spiliopoulou, Myra; Glanz, Wenzel; Butryn, Michaela; Kühn, Esther; Schreiber, Stefanie; Maass, Anne; Diersch, Nadine
In: PLOS digital health - San Francisco, CA : PLoS, Bd. 3 (2024), Heft 10, Artikel e0000613, insges. 29 S.
Exploration of interpretability techniques for deep COVID-19 classification using chest X-ray images
Chatterjee, Soumick; Saad, Fatima; Sarasaen, Chompunuch; Ghosh, Suhita; Krug, Valerie; Khatun, Rupali; Mishra, Rahul; Desai, Nirja; Radeva, Petia; Rose, Georg; Stober, Sebastian; Speck, Oliver; Nürnberger, Andreas
In: Journal of imaging - Basel : MDPI, Bd. 10 (2024), Heft 2, Artikel 45, insges. 22 S.
Exploring the predictive factors of heart disease using rare association rule mining
Darrab, Sadeq; Broneske, David; Saake, Gunter
In: Scientific reports - [London] : Springer Nature, Bd. 14 (2024), Heft 1, Artikel 18178, insges. 26 S.
Heterogeneity in response to treatment across tinnitus phenotypes
Niemann, Uli; Boecking, Benjamin; Brueggemann, Petra; Spiliopoulou, Myra; Mazurek, Birgit
In: Scientific reports - [London] : Macmillan Publishers Limited, part of Springer Nature, Bd. 14 (2024), Artikel 2111, insges. 11 S.
The application of data science at original equipment manufacturers - a literature review
Haertel, Christian; Donat, Vincent; Staegemann, Daniel; Daase, Christian; Finkendei, Marco; Turowski, Klaus
In: IEEE access / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 12 (2024), S. 114584-114600
Training and validating a treatment recommender with partial verification evidence
Unnikrishnan, Vishun; Puga, Clara; Schleicher, Miro; Niemann, Uli; Langguth, Berthold; Schoisswohl, Stefan; Mazurek, Birgit; Cima, Rilana; Lopez-Escamez, Jose Antonio; Kikidis, Dimitris; Vellidou, Eleftheria; Pryss, Ruediger; Schlee, Winfried; Spiliopoulou, Myra
In: Artificial intelligence in medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 160 (2025), Artikel 103062, insges. 13 S.
Joining of data-driven forensics and multimedia forensics - practical application on DeepFake image and video data
Siegel, Dennis; Krätzer, Christian; Seidlitz, Stefan; Dittmann, Jana
In: International journal on advances in security - [Comar]: IARIA Journals : [Verlag nicht ermittelbar], Bd. 17 (2024), Heft 1/2, S. 29-43
Towards hybrid-cloud infrastructure composition for SAP systems landscapes in smart manufacturing
Kharitonov, Andrey; Nahhas, Abdulrahman; Müller, Hendrik; Turowski, Klaus
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 232 (2024), S. 2376-2385
Exploiting shared sub-expression and materialized view reuse for multi-query optimization
Gurumurthy, Bala; Bidarkar, Vasudev Raghavendra; Broneske, David; Pionteck, Thilo; Saake, Gunter
In: Information systems frontiers - Dordrecht [u.a.] : Springer Science + Business Media B.V . - 2024, insges. 16 S. [Online first]
Beyond Nyquist - a comparative analysis of 3D deep learning models enhancing MRI resolution
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Ashoka, Anitha Bhat Talagini; Vasudeva, Mayura Gurjar Cheepinahalli; Saravanan, Shudarsan; Sambandham, Venkatesh Thirugnana; Tummala, Pavan; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: Journal of imaging - Basel : MDPI, Bd. 10 (2024), Heft 9, Artikel 207, insges. 34 S.
Clustering graph data: the roadmap to spectral techniques
Mondal, Rahul; Ignatova, Evelina; Walke, Daniel; Broneske, David; Saake, Gunter; Heyer, Robert
In: Discover artificial intelligence - [Cham] : Springer International Publishing, Bd. 4 (2024), Heft 1, insges. 22 S.
2023
Abstract
Exploiting the inter-rater disagreement to improve probabilistic segmentation
Chatterjee, Soumick; Gaidzik, Franziska; Sciarra, Alessendro; Mattern, Hendrik; Gabor, Janiga; Speck, Oliver; Nürnberger, Andreas; Pathiraja, Sahani
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 0810
Enhancing vessel continuity in deep learning based segmentation using maximum intensity projection as loss
Chatterjee, Soumick; Varma Chintalapati, Karthikesh; Radhakrishna, Chethan; Ram Kumar, Sri Chandana Hudukula; Sutrave, Raviteja; Mattern, Hendrik; Speck, Oliver; Nürnberger, Andreas
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 3769 [Meeting: ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, 03-08 June 2023]
Predicting the chance for being at-risk of AD based on smartphone data obtained during an everyday wayfinding task in the real world
Marquardt, Jonas; Mohan, Priyanka; Spiliopoulou, Myra; Glanz, Wenzel; Butryn, Michaela; Kühn, Esther; Schreiber, Stefanie; Maass, Anne; Diersch, Nadine
In: Alzheimer's and dementia - Hoboken, NJ : Wiley, Bd. 19 (2023), Heft Suppl. 18, Artikel e072058, insges. 4 S.
Complex-valued fourier primal-dual - undersampled MRI reconstruction in hybrid-space
Chatterjee, Soumick; Ernst, Philipp; Speck, Oliver; Nürnberger, Andreas
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 4955
Aufsatz
Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes
Schütz, Lars; Bade, Korinna; Nürnberger, Andreas
In: Deep Learning Theory and Applications , 1st ed. 2023. - Cham : Springer Nature Switzerland ; Conte, Donatello, S. 434-455
Supporting the Exploration and Analysis of Public Participation Process Data with Rankings and Clusterings
Schütz, Lars; Bade, Korinna; Nürnberger, Andreas
In: NWK 2023 - Tagungsband zur 23. Nachwuchswissenschaftler*innenkonferenz , 2023 - Wernigerode : Hochsch. Harz ; Stolzenburg, Frieder, S. 317-324, 1 Online-Ressource (7 Seiten)
Begutachteter Zeitschriftenartikel
A cost-based multi-layer network approach for the discovery of patient phenotypes
Puga, Clara; Niemann, Uli; Schlee, Winfried; Spiliopoulou, Myra
In: International journal of data science and analytics - Cham, Switzerland : Springer International Publishing . - 2023, insges. 21 S. [Online first]
GUCCI - Guided Cardiac Cohort Investigation of blood flow data
Meuschke, Monique; Niemann, Uli; Behrendt, Benjamin; Gutberlet, Matthias; Preim, Bernhard; Lawonn, Kai
In: IEEE transactions on visualization and computer graphics / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 29 (2023), Heft 3, S. 1876-1892
Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing
Rosenfelder, Martin Justinus; Spiliopoulou, Myra; Hoppenstedt, Burkhard; Pryss, Rüdiger Christoph; Fissler, Patrick; Piedra Walter, Mario; Kolassa, Iris-Tatjana; Bender, Andreas
In: Frontiers in computational neuroscience - Lausanne : Frontiers Research Foundation, Bd. 17 (2023), S. 1-18, Artikel 1142948
Following the digital thread - a cloud-based observation
Daase, Christian; Haertel, Christian; Nahhas, Abdulrahman; Volk, Matthias; Steigerwald, Heiko; Ramesohl, Achim; Schneider, Bernd; Zeier, Alexander; Turowski, Klaus
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 217 (2023), S. 1867-1876
The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT)
Simoes, Jorge Piano; Schoisswohl, Stefan; Schlee, Winfried; Basso, Laura; Bernal-Robledano, Alberto; Boecking, Benjamin; Cima, Rilana; Denys, Sam; Engelke, Milena; Escalera-Balsera, Alba; Gallego-Martinez, Alvaro; Gallus, Silvano; Kikidis, Dimitris; López-Escámez, Jose A.; Marcrum, Steven C.; Markatos, Nikolaos; Martin-Lagos, Juan; Martinez-Martinez, Marta; Mazurek, Birgit; Vassou, Evgenia; Jarach, Carlotta Micaela; Mueller-Locatelli, Nicolas; Neff, Patrick; Niemann, Uli; Omar, Hafez Kader; Puga, Clara; Schleicher, Miro; Unnikrishnan, Vishnu; Perez-Carpena, Patricia; Pryss, Rüdiger; Robles-Bolivar, Paula; Rose, Matthias; Schecklmann, Martin; Schiele, Tabea; Schobel, Johannes; Spiliopoulou, Myra; Stark, Sabine; Vogel, Carsten; Wunder, Nina; Zachou, Zoi; Langguth, Berthold
In: Trials - London : BioMed Central, Bd. 24 (2023), Artikel 472, insges. 13 S.
Privacy-friendly datasets of synthetic fingerprints for evaluation of biometric algorithms
Makrushin, Andrey; Mannam, Venkata; Dittmann, Jana
In: Applied Sciences - Basel : MDPI, Bd. 13 (2023), Heft 18, Artikel 10000, insges. 25 S.
Application of microservices patterns to big data systems
Ataei, Pouya; Staegemann, Daniel
In: Journal of Big Data - Berlin : SpringerOpen, Bd. 10 (2023), Artikel 56, insges. 49 S.
Creation of a framework and a corresponding tool enabling the test-driven development of microservices
Daase, Christian; Staegemann, Daniel; Volk, Matthias; Turowski, Klaus
In: Journal of software - Oulu : Academy Publisher, Bd. 18 (2023), Heft 1, S. 55-69
Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets
Mondal, Rahul; Do, Minh Dung; Ahmed, Nasim Uddin; Walke, Daniel; Micheel, Daniel; Bronske, David; Saake, Gunter; Heyer, Robert
In: BMC medical informatics and decision making - London : BioMed Central, Bd. 22 (2023), Heft S6, Artikel 347, insges. 12 S.
The importance of graph databases and graph learning for clinical applications
Walke, Daniel; Micheel, Daniel; Schallert, Kay; Muth, Thilo; Broneske, David; Saake, Gunter; Heyer, Robert
In: Database - Oxford : Oxford University Press, Bd. 2023 (2023), Artikel baad045, insges. 20 S.
Pros and cons of comparing and combining hand-crafted and neural network based DeepFake detection based on eye blinking behavior
Siegel, Dennis; Seidlitz, Stefan; Krätzer, Christian; Dittmann, Jana
In: Electronic imaging - Springfield, VA : Society for Imaging Sciences and Technology, Bd. 35 (2023), S. 378-1-378-6, Artikel MWSF-378
Defending informational sovereignty by detecting deepfakes? - opportunities and risks of an AI-based detector for deepfakes-based disinformation and illegal activities
Tahraoui, Milan; Krätzer, Christian; Dittmann, Jana; Aden, Hartmut
In: Weizenbaum journal of the digital society - Berlin : Weizenbaum Institute for the Networked Society - the German Internet Institute, Bd. 3 (2023), Heft 2, insges. 29 S.
Out-of-the-box library support for DBMS operations on GPUs
Subramanian, Harish Kumar Harihara; Gurumurthy, Balasubramanian; Durand, Gabriel Campero; Broneske, David; Saake, Gunter
In: Distributed and parallel databases - New York, NY [u.a.] : Consultants Bureau, Bd. 41 (2023), Heft 3, S. 489-509
Reliability estimation and optimization of a smart meter architecture using a Monte Carlo simulation
Altenburg, Tobias; Staegemann, Daniel; Volk, Matthias; Turowski, Klaus
In: SN Computer Science - Singapore : Springer Singapore, Bd. 4 (2023), Heft 5, Artikel 438, insges. 12 S.
Morpheme-based neural machine translation models for low-resource fusion languages
Gezmu, Andargachew Mekonnen; Nürnberger, Andreas
In: ACM transactions on Asian and low-resource language information processing / Association for Computing Machinery - New York, NY : ACM, Bd. 22 (2023), Heft 9, Artikel 231, insges. 13 S.
MICDIR - multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
Chatterjee, Soumick; Bajaj, Himanshi; Siddiquee, Istiyak H.; Subbarayappa, Nandish Bandi; Simon, Steve; Shashidhar, Suraj Bangalore; Speck, Oliver; Nürnberger, Andreas
In: Computerized medical imaging and graphics - Amsterdam [u.a.] : Elsevier Science, Bd. 108 (2023), Artikel 102267
Editorial: Smart mobile data collection in the context of neuroscience, volume II
Pryss, Rüdiger; Schlee, Winfried; Reichert, Manfred; Probst, Thomas; Langguth, Berthold; Spiliopoulou, Myra
In: Frontiers in neuroscience - Lausanne : Frontiers Research Foundation, Bd. 17 (2023), insges. 3 S.
Synthetische Daten in der Biometrie - sind echte biometrische Datensätze ersetzbar durch synthetische?
Makrushin, Andrey; Dittmann, Jana
In: Datenschutz und Datensicherheit - Wiesbaden: Springer Gabler, Bd. 47 (2023), 1, S. 22-26
Novel insights on atomic synchronization for sort-based group-by on GPUs
Gurumurthy, Bala; Broneske, David; Schäler, Martin; Pionteck, Thilo; Saake, Gunter
In: Distributed and parallel databases - New York, NY [u.a.] : Consultants Bureau . - 2023, insges. 23 S.
Prediction meets time series with gaps - user clusters with specific usage behavior patterns
Schleicher, Miro; Unnikrishnan, Vishnu; Pryss, Rüdiger; Schobel, Johannes; Schlee, Winfried; Spiliopoulou, Myra
In: Artificial intelligence in medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 142 (2023), Artikel 102575
Human-in-control and quality assurance aspects for a benchmarking framework for DeepFake detection models
Krätzer, Christian; Siegel, Dennis; Seidlitz, Stefan; Dittmann, Jana
In: Electronic imaging - Springfield, VA : Society for Imaging Sciences and Technology, Bd. 35 (2023), S. 379-1-379-6, Artikel MWSF-379
A survey on synthetic biometrics
Makrushin, Andrey; Uhl, Andreas; Dittmann, Jana
In: IEEE access / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 11 (2023), S. 33887 - 33899
Global brain network modularity dynamics after local optic nerve damage following noninvasive brain stimulation - an EEG-tracking study
Wu, Zheng; Xu, Jiahua; Nürnberger, Andreas; Sabel, Bernhard A.
In: Cerebral cortex - Oxford : Oxford Univ. Press, Bd. 33 (2023), Heft 8, S. 4729-4739
Liver segmentation using turbolift learning for CT and cone-beam C-arm perfusion imaging
Haseljić, Hana; Chatterjee, Soumick; Frysch, Robert; Kulvait, Vjtěch; Semshchikov, Vladimir; Hensen, Bennet; Wacker, Frank; Brüsch, Inga; Werncke, Thomas; Speck, Oliver; Nürnberger, Andreas; Rose, Georg
In: Computers in biology and medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 154 (2023), Artikel 106539
On the integration of Google cloud and SAP HANA for adaptive supply chain in retailing
Nahhas, Abdulrahman; Haertel, Christian; Daase, Christian; Volk, Matthias; Ramesohl, Achim; Steigerwald, Heiko; Zeier, Alexander; Turowski, Klaus
In: Procedia computer science - Amsterdam [u.a.] : Elsevier, Bd. 217 (2023), S. 1857-1866
Editorial Special Section on Featured Research From the 2nd International Conference on Human-Machine Systems
Kaber, David B.; Nürnberger, Andreas; Fortino, Giancarlo; Mendonça, David
In: IEEE transactions on human-machine systems / Institute of Electrical and Electronics Engineers - [New York, NY] : IEEE, Bd. 53 (2023), Heft 4, S. 653-656
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
Ernst, Philipp; Chatterjee, Soumick; Rose, Georg; Speck, Oliver; Nürnberger, Andreas
In: Neural networks - Amsterdam : Elsevier, Bd. 166 (2023), S. 704-721
Leveraging educational blogging to assess the impact of collaboration on knowledge creation
Obionwu, Victor; Broneske, David; Saake, Gunter
In: International Journal of Information and Education Technology - Singapore : IACSIT Press, Bd. 13 (2023), Heft 5, S. 785-791
Monografie
Information search behavior profiles - analysis of search activities & behavior driven ranking
Schwerdt, Johannes; Nürnberger, Andreas
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Informatik 2023, 1 Online-Ressource (xv, 212 Seiten, 4,85 MB)
2022
Abstract
Toward a lifecycle for data science - a literature review of data science process models
Haertel, Christian; Pohl, Matthias; Nahhas, Abdulrahman; Staegemann, Daniel; Turowski, Klaus
In: PACIS 2022 proceedings - Elsevier, Artikel paper number 1534 [Konferenz: Pacific Asia Conference on Information Systems, PACIS 2022, virtual, July 5-9, 2022]
Analysis of exhausted T cells, systemically enhanced cytokine levels ex vivo and machine learning facilitated search for ageing-related biomarkers
Beyer, Christian; Jamaludeen, Noor; Vogel, Katrin; Pierau, Mandy; Lingel, Holger; Meltendorf, Stefan; Spiliopoulou, Myra; Brunner-Weinzierl, Monika
In: Das Gesundheitswesen - Stuttgart [u.a.] : Thieme, Bd. 84 (2022), Heft 8/9, S. 846
Deep learning of brain spacetime to predict outcome of vision restoration therapy using non-invasive brain stimulation
Wu, Zheng; Nürnberger, Andreas; Sabel, Bernhard A.
In: FENS Forum - FENS . - 2022, Artikel S04-576 [Forum: FENS Forum 2022, Paris, France, 09-13.07.2022]