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

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients (2019) Vasquez Correa J, Rios-Urrego CD, Rueda A, Orozco Arroyave JR, Krishnan S, Nöth E Book chapter / Article in edited volumes Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages (2019) Vasquez Correa J, Arias Vergara T, Rios-Urrego CD, Schuster M, Rusz J, Orozco Arroyave JR, Nöth E Book chapter / Article in edited volumes Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior (2019) Huang Y, Preuhs A, Lauritsch G, Manhart M, Huang X, Maier A Conference contribution, Original article High-speed slot-scanning radiography using small-angle tomosynthesis: Investigation of spatial resolution (2019) Luckner C, Herbst M, Weber T, Beister M, Ritschl L, Kappler S, Maier A Journal article A Divide-and-Conquer Approach towards Understanding Deep Networks (2019) Fu W, Breininger K, Schaffert R, Ravikumar N, Maier A Conference contribution, Original article Multi-task Localization and Segmentation for X-Ray Guided Planning in Knee Surgery (2019) Kordon F, Fischer P, Privalov M, Swartman B, Schnetzke M, Franke J, Lasowski R, et al. Conference contribution, Conference Contribution Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics (2019) Denzinger F, Wels M, Ravikumar N, Breininger K, Reidelshöfer A, Eckert J, Sühling M, et al. Conference contribution, Original article RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting (2019) Hoppe E, Thamm F, Körzdörfer G, Syben-Leisner C, Schirrmacher F, Nittka M, Pfeuffer J, et al. Conference contribution Local topology preservation for vascular centerline matching using a hybrid mixture model (2019) Bayer S, Zhai Z, Strumia M, Tong X, Gao Y, Staring M, Stoel B, et al. Conference contribution, Conference Contribution Applying Deep Learning Algorithms to EL-images for Predicting the Module Power (2019) Buerhop-Lutz C, Hoffmann M, Reeb L, Pickel T, Hauch J, Maier A Conference contribution, Abstract of lecture