Prof. Dr.-Ing. Andreas Maier

Lehrstuhl für Informatik 5 (Mustererkennung)

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 Dataset of pages from early printed books with multiple font groups (2019) Seuret M, Limbach S, Weichselbaumer N, Maier A, Christlein V Conference contribution Deep Image Denoising in SPECT (2019) Reymann M, Würfl T, Ritt P, Cachovan M, Stimpel B, Maier A Conference contribution, Abstract of lecture A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems (2019) Amrehn M, Steidl S, Kortekaas R, Strumia M, Weingarten M, Kowarschik M, Maier A Journal article, Original article Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks (2019) Hoppe E, Thamm F, Körzdörfer G, Syben-Leisner C, Schirrmacher F, Nittka M, Pfeuffer J, et al. Book chapter / Article in edited volumes