Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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To

Abstract

Journal

Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model (2023) Maul N, Zinn K, Wagner F, Thies M, Rohleder M, Pfaff L, Kowarschik M, et al. Conference contribution SLS-Printed E-Band Waveguides and the Impact of Surface Roughness (2023) Hofmann A, Lomakin K, Kleinlein M, Bader T, Sippel M, Gold G Conference contribution, Abstract of lecture ORCA-SPY: Killer Whale Sound Source Simulation and Detection, Classification and Localization in PAMGuard Utilizing Integrated Deep Learning Based Segmentation (2023) Hauer C, Nöth E, Barnhill A, Maier A, Guthunz J, Hofer H, Cheng RX, et al. Journal article Language Generalization Using Active Learning in the Context of Parkinson’s Disease Classification (2023) Moreno-Acevedo SA, Rios-Urrego CD, Vásquez-Correa JC, Rusz J, Nöth E, Orozco-Arroyave JR Conference contribution Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN (2023) Utz J, Weise T, Schlereth M, Wagner F, Thies M, Gu M, Uderhardt S, Breininger K Conference contribution Detection of Vowel Errors in Children's Speech using Synthetic Phonetic Transcripts (2023) Baumann I, Wagner D, Riedhammer K, Nöth E, Bocklet T Conference contribution Pioneering Pathways: Universities and Industry as Collaborative Learners on the Road to Net Zero (2023) Hornegger J, Zipse O Authored book Deep learning for terahertz image denoising in nondestructive historical document analysis (2022) Dutta B, Root K, Ullmann I, Wagner F, Mayr M, Seuret M, Thies M, et al. Journal article, Original article ANIMAL‐SPOT enables animal‐independent signal detection and classification using deep learning (2022) Bergler C, Smeele SQ, Tyndel SA, Barnhill A, Ortiz ST, Kalan AK, Cheng RX, et al. Journal article Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correction (2022) Hoßbach J, Splitthoff DN, Cauley S, Clifford B, Polak D, Lo WC, Meyer H, Maier A Journal article