Lehrstuhl für Informatik 5 (Mustererkennung)

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 Bausteine auf dem Weg zu einer virtuellen Zeitmanschiene – ein Editionsprojekt über lange Dauer (2019) Maier A, Stromer D, Christlein V, Bell P Journal article, Original article 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 Physics-driven learning of x-ray skin dose distribution in interventional procedures (2019) Roser P, Zhong X, Birkhold A, Strobel N, Kowarschik M, Fahrig R, Maier A Journal article, Original article Recognizing Characters in Art History Using Deep Learning (2019) Madhu P, Kosti RV, Mührenberg L, Bell P, Maier A, Christlein V Conference contribution, Original article