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INFORMATIK

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.

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Deformable 3D/3D CT-to-digital-tomosynthesis image registration in image-guided bronchoscopy interventions

Saad, Fatima; Frysch, Robert; Saalfeld, Sylvia; Kellnberger, Stephan; Schulz, Jens-Uwe; Fahrig, Rebecca; Bhadra, Krish; Nürnberger, Andreas; Rose, Georg

In: Computers in biology and medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 171 (2024), insges. 13 S.

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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

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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.

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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

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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]

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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.

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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

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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

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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)

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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.

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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

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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

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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.

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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.

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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

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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.

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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

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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.

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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.

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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

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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.

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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

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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

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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

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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

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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.

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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

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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

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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

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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

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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.

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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

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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

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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.

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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]

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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

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Improvement of magnetic resonance (MR) imaging-based temperature-controlled hyperthermia by reconstructing highly undersampled MR acquisition

Khatun, Rupali; Chatterjee, Soumick; Hader, Michael; Schmidt, Manfred; Bert, Christoph; Wadepohl, M.; Fietkau, Rainer; Ott, Oliver; Nürnberger, Andreas; Gaipl, Udo; Frey, Benjamin

In: 34th Annual Meeting European Society for Hyperthermic Oncology - ESHO . - 2022, S. 73-74, Artikel L72 [Meeting: 34th Annual Meeting European Society for Hyperthermic Oncology, Gothenburg, Sweden, 14-17 September 2022]

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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

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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]

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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]

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Discovering biomarkers for non-alcoholic steatohepatitis patients with and without hepatocellular carcinoma using fecal metaproteomics

Sydor, Svenja; Dandyk, Christian; Schwerdt, Johannes; Manka, Paul; Benndorf, Dirk; Lehmann, Theresa; Schallert, Kay; Wolf, Maximilian; Reichl, Udo; Canbay, Ali E.; Bechmann, Lars P.; Heyer, Robert

In: International journal of molecular sciences - Basel : Molecular Diversity Preservation International, Bd. 23 (2022), Heft 16, Artikel 8841, insges. 14 S.

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Process-driven modelling of media forensic investigations-considerations on the example of DeepFake detection

Krätzer, Christian; Siegel, Dennis; Seidlitz, Stefan; Dittmann, Jana

In: Sensors - Basel : MDPI, Bd. 22 (2022), Heft 9, Artikel 3137, insges. 32 S.

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Knock, knock, log - threat analysis, detection & mitigation of covert channels in syslog using port scans as cover

Lamshöft, Kevin; Neubert, Tom; Hielscher, Jonas; Vielhauer, Claus; Dittmann, Jana

In: Forensic Science International. Digital investigation - [Amsterdam] : Elsevier ScienceDirect, Bd. 40 (2022), Artikel 301335, insges. 9 S. [Selected papers of the Ninth Annual DFRWS Europe Conference]

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The threat of covert channels in network time synchronisation protocols

Lamshöft, Kevin; Hielscher, Jonas; Krätzer, Christian; Dittmann, Jana

In: Journal of cyber security and mobility - Gistrup : River Publishers, Bd. 11 (2022), Heft 2, S. 165-204

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A literature review on the challenges of applying test-driven development in software engineering

Staegemann, Daniel; Volk, Matthias; Perera, Maneendra; Haertel, Christian; Pohl, Matthias; Daase, Christian; Turowski, Klaus

In: Complex systems informatics and modeling quarterly - Riga : Techn. Univ., Bd. 31 (2022), S. 18-28

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