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Unpublished / Preprint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

From
To

Abstract

Journal

Deep autofocus with cone-beam CT consistency constraint (2020) Preuhs A, Manhart M, Roser P, Stimpel B, Syben-Leisner C, Psychogios M, Kowarschik M, Maier A Conference contribution, Original article ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees (2020) Rodriguez Salas D, Ravikumar N, Seuret M, Maier A Conference contribution, Conference Contribution Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval (2020) Bootwala A, Breininger K, Maier A, Christlein V Book chapter / Article in edited volumes Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT (2020) Maier J, Rivera Monroy L, Syben-Leisner C, Jeon Y, Choi JH, Hall M, Levenston M, et al. Book chapter / Article in edited volumes Multi-Task Framework for X-Ray Guided Planning in Knee Surgery (2020) Kordon F, Fischer P, Privalov M, Swartman B, Schnetzke M, Franke J, Lasowski R, et al. Conference contribution, Abstract of a poster 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 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