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Unpublished / Preprint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

From
To

Abstract

Journal

Font Augmentation: Implant and Surgical Tool Simulation for X-Ray Image Processing (2020) Kordon F, Maier A, Swartman B, Kunze H Conference contribution, Conference Contribution Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment - Learning New Tricks from Old Dogs (2020) Aubreville M, Bertram CA, Jabari S, Marzahl C, Klopfleisch R, Maier A Book chapter / Article in edited volumes How Big is Big Enough?: A Large-Scale Histological Dataset of Mitotic Figures (2020) Bertram CA, Aubreville M, Marzahl C, Maier A, Klopfleisch R Conference contribution, Abstract of lecture A deep learning approach to radiation dose estimation (2020) Götz T, Schmidkonz C, Chen S, Al-Baddai S, Kuwert T, Lang EW Journal article The rapid rise of Fraktur (2020) Weichselbaumer N, Seuret M, Limbach S, Hinrichsen L, Maier A, Christlein V Conference contribution, Abstract of lecture Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography (2020) Jiang Z, Huang Z, Qiu B, Liu X, Meng X, You Y, Liu G, et al. Journal article, Original article Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function (2020) Qiu B, Huang Z, Liu X, Meng X, You Y, Liu G, Yang K, et al. Journal article, Original article Automatic Multi-organ Segmentation in Dual Energy CT (DECT) with Dedicated 3D Fully Convolutional DECT Networks (2020) Chen S, Zhong X, Hu S, Dorn S, Kachelriess M, Lell M, Maier A Journal article, Original article T-2* Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing (2020) Utzschneider M, Behl NGR, Lachner S, Gast L, Maier A, Uder M, Nagel AM Journal article Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses (2020) Ellmann S, Wenkel E, Dietzel M, Bielowski C, Vesal S, Maier A, Hammon M, et al. Journal article