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Unpublished / Preprint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

Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization (2020) Liu C, Huang Y, Maier J, Klein L, Kachelriess M, Maier A Conference contribution, Conference Contribution Spatio-Temporal Handwriting Imitation (2020) Mayr M, Stumpf M, Nicolaou A, Seuret M, Maier A, Christlein V Conference contribution, Conference Contribution Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair (2020) Breininger K, Pfister M, Kowarschik M, Maier A Conference contribution Assessing the dysarthria level of parkinson’s disease patients with gmm-ubm supervectors using phonological posteriors and diadochokinetic exercises (2020) Miller GF, Vasquez Correa J, Nöth E Conference contribution Electrophysiological and Mechanical Approaches to the Swallowing Analysis (2020) Restrepo-Uribe JP, Roldan-Vasco S, Perez-Giraldo E, Orozco Arroyave JR, Orozco-Duque A Conference contribution Transfer learning to detect parkinson’s disease from speech in different languages using convolutional neural networks with layer freezing (2020) Rios-Urrego CD, Vasquez Correa J, Orozco Arroyave JR, Nöth E Conference contribution Are fast labeling methods reliable? a case study of computer-aided expert annotations on microscopy slides (2020) Marzahl C, Bertram CA, Aubreville M, Petrick A, Weiler K, Gläsel AC, Fragoso M, et al. Conference contribution Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels (2020) Bertram CA, Veta M, Marzahl C, Stathonikos N, Maier A, Klopfleisch R, Aubreville M Conference contribution N2NSR-OCT: Simultaneous denoising and super-resolution in optical coherence tomography images using semisupervised deep learning (2020) Qiu B, You Y, Huang Z, Meng X, Jiang Z, Zhou C, Liu G, et al. Journal article Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines (2020) Roser P, Birkhold A, Preuhs A, Syben-Leisner C, Strobel N, Kowarschik M, Fahrig R, Maier A Conference contribution, Conference Contribution