Prof. Dr.-Ing. Andreas Maier

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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Unpublished / Preprint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

Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability (2019) Kaiser N, Fieselmann A, Vesal S, Ravikumar N, Ritschl L, Kappler S, Maier A Conference contribution Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract (2019) Aubreville M, Goncalves M, Knipfer C, Oetter N, Würfl T, Neumann H, Stelzle F, et al. Conference contribution Fast and Robust Detection of Solar Modules in Electroluminescence Images (2019) Hoffmann M, Doll B, Talkenberg F, Brabec C, Maier A, Christlein V Conference contribution, Conference Contribution Next-generation imaging of the skeletal system and its blood supply (2019) Grüneboom A, Kling L, Christiansen S, Mill L, Maier A, Engelke K, Quick HH, et al. Journal article, Review article Learning to recognize abnormalities in chest X-rays with location-aware dense networks (2019) Gündel S, Grbic S, Georgescu B, Liu S, Maier A, Comaniciu D Conference contribution Co-localized augmented human and X-ray observers in collaborative surgical ecosystem (2019) Fotouhi J, Unberath M, Song T, Hajek J, Lee SC, Bier B, Maier A, et al. Journal article Symmetry prior for epipolar consistency (2019) Preuhs A, Maier A, Manhart M, Kowarschik M, Hoppe E, Fotouhi J, Navab N, Unberath M Journal article Pitfalls in interventional X-ray organ dose assessment—combined experimental and computational phantom study: application to prostatic artery embolization (2019) Roser P, Birkhold A, Zhong X, Ochs P, Stepina E, Kowarschik M, Fahrig R, Maier A Journal article, Original article Multidimensional noise reduction in C-arm cone-beam CT via 2D-based Landweber iteration and 3D-based deep neural networks (2019) Choi D, Kim J, Chae SH, Kim B, Baek J, Maier A, Fahrig R, et al. Conference contribution A deep learning based pipeline for optical coherence tomography angiography (2019) Liu X, Huang Z, Wang Z, Wen C, Jiang Z, Yu Z, Liu J, et al. Journal article