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Lehrstuhl für Informatik 5 (Mustererkennung)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Department Informatik
Overview
Publications
(1,636)
Research Grants
(105)
Research Fields
(15)
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Journal article
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Book chapter / Article in edited volumes
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First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain (2022)
Kunzmann S, Marzahl C, Denzinger F, Bertram C, Klopfleisch R, Breininger K, Christlein V, Maier A
Conference contribution
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging (2022)
Schlereth M, Stromer D, Breininger K, Wagner A, Tan L, Maier A, Knieling F
Conference contribution
Form Follows Function: Smart Network Design Enables Zero-shot Network Reuse (2022)
Fu W, Husvogt L, Breininger K, Schaffert R, Abu-Qamar O, Fujimoto JG, Maier A
Conference contribution
Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes (2022)
Sukesh R, Fieselmann A, Jaganathan S, Shetty K, Kaergel R, Kordon F, Kappler S, Maier A
Conference contribution
Towards Weakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN Losses (2022)
Arbogast N, Kordon F, Kunze H, Swartman B, El Barbari JS, Breininger K
Conference contribution, Conference Contribution
Automatic Switching of Organ Programs in Interventional X-ray Machines Using Deep Learning (2022)
Ravi A, Kordon F, Maier A
Conference contribution, Conference Contribution
Multi-organ Segmentation with Partially Annotated Datasets (2022)
Song H, Liu C, Folle L, Maier A
Book chapter / Article in edited volumes
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-modal Retinal Image Registration (2022)
Sindel A, Hohberger B, Fassihi Dehcordi S, Mardin CY, Lämmer R, Maier A, Christlein V
Conference contribution
Towards Super-resolution CEST MRI for Visualization of Small Structures (2022)
Folle L, Tkotz K, Gadjimuradov F, Kapsner L, Fabian M, Bickelhaupt S, Simon D, et al.
Book chapter / Article in edited volumes
Deep learning based denoising of mammographic x-ray images: an investigation of loss functions and their detail-preserving properties (2022)
Eckert D, Ritschl L, Herbst M, Wicklein J, Vesal S, Kappler S, Maier A, Stober S
Conference contribution
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