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Publications

Displaying results 2101 to 2110 of 13722.
  1. Paul Strenge; Birgit Lange; Christin Grill; Wolfgang Draxinger; Veit Danicke; Dirk Theisen-Kunde; Heinz Handels; Matteo Mario Bonsanto; Christian Hagel; Robert Huber; others

    Comparison of two optical coherence tomography systems to identify human brain tumor

    In: Proceedings Volume 11924, Optical Coherence Imaging Techniques and Imaging in Scattering Media IV. European Conferences on Biomedical Optics (ECBO-2021), located at World of Photonics Congress, June 20-24, Pages 56-58, Vol. 1192401 (2021), SPIE, 2021.

  2. New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks

    In: Olivier Commowick; Frédéric Cervenansky; François Cotton; Michel Dojat (Hrsg.). MICCAI2021 - MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure. MSSEG-2 challenge: Multiple sclerosis new lesions segmentation challenge, located at MICCAI 2021, September 23, Pages 111-111, HAL, 2021.

  3. Christoph Palm; Thomas Deserno; Heinz Handels; Andreas Maier; Klaus Maier-Hein; Thomas Tolxdorff; Christian Heinrich; Samad Koita; Mohammad Taufeeque; Nicolai Spicher

    Multi-camera, Multi-person, and Real-time Fall Detection using Long Short Term Memory

    In: Bildverarbeitung für die Medizin 2021proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Workshop Bildverarbeitung für die Medizin (BVM-2021), Pages 124-124, Springer, 2021.

  4. Reconfigurable Intelligent Surfaces: About Applications and Their Implementation

    In: ITG-Fb. 304: Mobilkommunikation - Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT-2022), Osnabrück, Germany, ISBN 978-3-8007-5873-9, VDE ITG, 5/2022.

  5. Shaden Baradie; Rekha Reddy; Christoph Lipps; Hans Dieter Schotten

    Managing the Fifth Generation (5G) Wireless Mobile Communication: A Machine Learning Approach for Network Traffic Prediction

    In: ITG-Fb. 304: Mobilkommunikation - Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT-2022), May 18-19, Osnabrück, Germany, ISBN 978-3-8007-5873-9, VDE ITG, 5/2022.

  6. Christoph Lipps; Shaden Baradie; Jan Herbst; Leigh Armistead; Hans Dieter Schotten

    Cybersecurity in Industrial Automation and Control Systems: The Recent Attack of the Colonial Pipeline

    In: Neal Kushwaha; Brett van Niekerk; Trishana Ramluckan. Modelling Nation-state Information Warfare and Cyber-operations Paperback – 7 Jun. 2022. Chapter 3, ISBN Modelling Nation-state Information Warfare and Cyber-operations Paperback – 7 Jun. 2022, Academic Bookshop, 6/2022.

  7. Janis Sprenger; Lorena Hell; Matthias Klusch

    Motion Capturing in Large-Scale VR Environments using Consumer Hardware

    In: Proceedings of the 17th International Symposium of 3-D Analysis of Human Movement. International Symposium of 3-D Analysis of Human Movement (3D-AHM-2022), 17th, July 16-19, Tokyo, Japan, International Society of Biomechanics, 2022.

  8. Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

    In: Guang Yang; Angelica Aviles-Rivero; Michael Roberts; Carola-Bibiane Schönlieb (Hrsg.). Annual Conference on Medical Image Understanding and Analysis - MIUA 2022. Medical Image Understanding and Analysis (MIUA-2022), July 27-29, Cambridge, United Kingdom, Pages 46-61, LNCS, Vol. 13413, ISBN 978-3-031-12052-7, Springer, Cham, 7/2022.

  9. Melle Mendikowski; Mattis Hartwig

    Creating Customers That Never Existed - Synthesis of E-commerce Data Using CTGAN

    In: ibai - publishing (Hrsg.). Machine Learning and Data Mining in Pattern Recognition. International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM-2022), 18th International Conference on Machine Learning and Data Mining, July 16-21, New York, New York, USA, Pages 91-105, Vol. 284, ISBN 978-3-942952-93-4, Springer, Heidelberg, 7/2022.

  10. Benjamin Paaßen; Malwina Dywel; Melanie Fleckenstein; Niels Pinkwart

    Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings

    In: Maria Mercedes Rodrigo; Noburu Matsuda; Alexandra I. Cristea; Vania Dimitrova (Hrsg.). Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. International Conference on Artificial Intelligence in Education (AIED-2022), July 27-31, Durham, United Kingdom, Pages 132-137, LNCS, Vol. 13356, Springer, Cham, 7/2022.