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Unpublished / Preprint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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Abstract

Journal

Influence of X-Ray Radiation on Historical Paper (2022) Zippert P, Seuret M, Maier A, Hausotte T Conference contribution, Conference Contribution Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia (2022) Rueda A, Vasquez Correa J, Orozco Arroyave JR, Nöth E, Krishnan S Journal article Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations (2022) Thamm F, Taubmann O, Jürgens M, Ditt H, Maier A Conference contribution, Conference Contribution Classification of Poverty Condition Using Natural Language Processing (2022) Muneton-Santa G, Escobar-Grisales D, Orlando Lopez-Pabon F, Perez Toro PA, Orozco Arroyave JR Journal article Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories (2022) Löffler C, Reeb L, Dzibela D, Marzilger R, Witt N, Eskofier B, Mutschler C Journal article Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery (2022) Fan F, Kreher BW, Keil H, Maier A, Huang Y Journal article, Original article FlexParser—The adaptive log file parser for continuous results in a changing world (2022) Kuhnert N, Maier A Journal article, Original article Deep Learning-based Extended Field of View Computed Tomography Image Reconstruction: Influence of Network Design on Image Estimation Outside the Scan Field of View (2022) Singh Khural B, Baer-Beck M, Fournie E, Stierstorfer K, Huang Y, Maier A Journal article, Original article Common Phone: A Multilingual Dataset for Robust Acoustic Modelling (2022) Klumpp P, Arias-Vergara T, Perez-Toro PA, Nöth E, Orozco-Arroyave JR Conference contribution End-to-End Parkinson’s Disease Detection Using a Deep Convolutional Recurrent Network (2022) Rios-Urrego CD, Moreno-Acevedo SA, Nöth E, Orozco Arroyave JR Conference contribution