Publications

Frank Cichos, Santiago Muiños Landin, und Ravi Pradip. Chapter 5 - Artificial intelligence (AI) enhanced nanomotors and active matter. In Yuebing Zheng, und Zilong Wu (Hrsg.), Intelligent Nanotechnology, 113-144, Elsevier, 2023. [PUMA: Active_particles Feedback_control Machine_learning Multi_agent_reinforcement_learning Optical_control Reinforcement_learning nopdf] URL

Robert Haase, Michael Andreeff, und Nasreddin Abolmaali. On the Reliability of Automatic Volume Delineation in Low-Contrast 18 F FMISO-PET Imaging. Molecular Radio-Oncology, 175--187, Springer Berlin Heidelberg, 2016. [PUMA: nopdf]

Robert Haase. The Fiji Updater, My favorite image analysis tool, by Neubias members. Imaging and Microscopy, March 2021Wiley Analytical Science, 2021. [PUMA: nopdf]

A Dietrich, R Buetof, A Fursov, F Tillner, S Loeck, R Haase, M Baumann, und M Krause. Image Guided orthotopic Tumor Models in Small Animals. STRAHLENTHERAPIE UND ONKOLOGIE, (191):S24--S25, 2015. [PUMA: nopdf]

Robert Haase. Optimisation and Validation of a Swarm Intelligence Based Segmentation Algorithm for Low Contrast Positron Emission Tomography. 2014. [PUMA: nopdf]

R Haase, R Perrin, K Zöphel, H-J Böhme, N Abolmaali, und others. Swarm intelligence allows automatic volume analysis basing on low contrast 18 F-fluoromisonidazole-PET of head and neck cancer patients. 2013. [PUMA: nopdf]

R Haase, Klaus Zöphel, Michael Andreeff, Jörg Steinbach, Jörg Kotzerke, und N Abolmaali. Usefulness of voxel-wise Pearson correlation coefficient for reproducibility and repeatability measurements in PET. Nuklearmedizin, 2012. [PUMA: nopdf]

Josefine Umlauft, Philippe Roux, Albanne Lecointre, Florent Gimbert, Ugo Nanni, Andrea Walpersdorf, Bertrand Rouet-LeDuc, Claudia Hulbert, Daniel Trugman, und Paul Johnson. Mapping Glacier Basal Sliding with Beamforming and Artificial Intelligence. EGU General Assembly Conference Abstracts, EGU22--6948, 2022. [PUMA: nopdf]

Siavash Ghiasvand, und Florina M Ciorba. Automatic Classification of System Logs. International Supercomputing Conference, Frankfurt, Germany, Juni 2018. [PUMA: nopdf]

Marie-Sophie von Braun, Kristin Starke, Lucas Peter, Daniel Kürsten, Florian Welle, Hans Ralf Schneider, Max Wawrzyniak, Daniel P O Kaiser, Gordian Prasse, Cindy Richter, Elias Kellner, Marco Reisert, Julian Klingbeil, Anika Stockert, Karl-Titus Hoffmann, Gerik Scheuermann, Christina Gillmann, und Dorothee Saur. Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning. In Masud Husain (Hrsg.), Brain, awaf013, Januar 2025. [PUMA: biomarker cdss cnn computer_vision deep_learning neuroimaging neurology nopdf topic_lifescience xack yaff] URL

Melanie Brandmeier, und Eya Cherif. Taking the pulse of the Amazon rainforest by fusing multitemporal Sentinel 1 and 2 data for advanced deep-learning. EGU General Assembly Conference Abstracts, EGU21-3749, 2021. [PUMA: nopdf]

Siavash Ghiasvand, und Florina M Ciorba. Event Pattern Identification in Anonymized System Logs. International Supercomputing Conference (ISC), Frankfurt, Germany, Juni 2017. [PUMA: nopdf]

Tais Maria Nunes Carvalho, Francisco De Assis de Souza Filho, und Marcos Abilio Medeiros de Saboia. Performance of rainwater tanks for runoff reduction under climate change scenarios: a case study in Brazil. Urban Water Journal, (17)10:912-922, Taylor & Francis, 2020. [PUMA: nopdf]

Peter F Stadler, und Jörg Fallmann. Deutsches Netzwerk für Bioinformatik Infrastruktur, de. NBI, RNA Bioinformatics Center-Leipzig. Professur für Bioinformatik, Institut für Informatik, Universität Leipzig, 2022. [PUMA: Bioinformatics Bioinformatik Infrastruktur Netzwerk RNA nopdf zno]

Benjamin Gallusser, und Martin Weigert. Trackastra: Transformer-based cell tracking for live-cell microscopy. European Conference on Computer Vision, 467--484, 2025. [PUMA: ML_Spatial_Understanding imported nopdf]

Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings. In Sridutt Bhalachandra, Christopher Daley, und Verónica Melesse Vergara (Hrsg.), Springer-Verlag, Berlin, Heidelberg, 2021. [PUMA: 2021 Accelerator Programming WACCPD Zno imported nopdf]

Parvaneh Joharinad, und Jürgen Jost. Topological foundations, hypercomplexes and homology. Mathematics of Data, 15--64, Springer International Publishing, Cham, 2023. [PUMA: Topological foundations homology hypercomplexes nopdf]

Parvaneh Joharinad, und Jürgen Jost. The Laplace operator and the geometry of graphs. Mathematics of Data, 83--113, Springer International Publishing, Cham, 2023. [PUMA: Laplace geometry graphs nopdf operator]

Parvaneh Joharinad, und Jürgen Jost. Nonlinear Schemes: Clustering, Feature Extraction and Dimension Reduction. Mathematical Principles of Topological and Geometric Data Analysis, 193–226, Springer International Publishing, 2023. [PUMA: Clustering Dimension Extraction Nonlinear Reduction nopdf] URL

Parvaneh Joharinad, und Jürgen Jost. Metric spaces and manifolds. Mathematics of Data, 115--164, Springer International Publishing, Cham, 2023. [PUMA: Metric manifolds nopdf spaces]