Andere Veröffentlichungen

2025

Begutachteter Zeitschriftenartikel

A generic taxonomy for steganography methods

Wendzel, Steffen; Caviglione, Luca; Mazurczyk, Wojciech; Mileva, Aleksandra; Dittmann, Jana; Krätzer, Christian; Lamshöft, Kevin; Vielhauer, Claus; Hartmann, Laura; Keller, Jörg; Neubert, Tom; Zillien, Sebastian

In: ACM computing surveys / Association for Computing Machinery - New York, NY : Association for Computing Machinery . - 2025, insges. 35 S.

2024

Begutachteter Zeitschriftenartikel

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.

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

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.

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

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.

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

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

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.

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

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.

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

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.

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.

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]

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.

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]

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

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

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.

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.

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), Artikel 18178, insges. 26 S.

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

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.

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.

2023

Abstract

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]

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

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

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.

Aufsatz

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)

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

Begutachteter Zeitschriftenartikel

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

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.

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.

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.

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

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.

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.

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

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

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; Fissler, Patrick; Piedra Walter, Mario della; Kolassa, Iris-Tatjana; Bender, Andreas

In: Frontiers in computational neuroscience - Lausanne : Frontiers Research Foundation, Bd. 17 (2023), S. 1-18, Artikel 1142948

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

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

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

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.

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]

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.

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

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

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.

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

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.

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

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

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

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

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

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

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)

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