Lehrstuhl für Informatik 5 (Mustererkennung)


close-button

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Unpublished / Preprint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

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