Lehrstuhl für Informatik 5 (Mustererkennung)


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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Unpublished / Preprint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

Material Decomposition Using Ensemble Learning for Spectral X-ray Imaging (2018) Lu Y, Kowarschik M, Huang X, Chen S, Ren Q, Fahrig R, Hornegger J, Maier A Journal article Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair (2018) Breininger K, Albarqouni S, Kurzendorfer T, Pfister M, Kowarschik M, Maier A Journal article Browsing through sealed historical manuscripts by using 3-D computed tomography with low-brilliance X-ray sources (2018) Stromer D, Christlein V, Martindale C, Zippert P, Haltenberger E, Hausotte T, Maier A Journal article Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography (2018) Stimpel B, Wetzl J, Forman C, Schmidt M, Maier A, Unberath M Journal article 3-D OCT Motion Correction Efficiently Enhanced with OCT Angiography (2018) Ploner S, Kraus MF, Husvogt L, Moult EM, Alibhai AY, Schottenhamml J, Geimer T, et al. Conference contribution, Abstract of lecture Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction (2018) Seitzer M, Yang G, Schlemper J, Oktay O, Würfl T, Christlein V, Wong T, et al. Conference contribution Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic Surgery (2018) Hajek J, Unberath M, Fotouhi J, Bier B, Lee SC, Osgood G, Maier A, et al. Conference contribution X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery (2018) Bier B, Unberath M, Zaech JN, Fotouhi J, Armand M, Osgood G, Navab N, Maier A Conference contribution Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees (2018) Bier B, Aschoff K, Syben-Leisner C, Unberath M, Levenston M, Gold G, Fahrig R, Maier A Conference contribution Towards Arbitrary Noise Augmentation-Deep Learning for Sampling from Arbitrary Probability Distributions (2018) Horger F, Würfl T, Christlein V, Maier A Conference contribution