Christoph Baur

Rohde & Schwarz (Germany) — Germany

Computer Science · Physical Sciences

14h-index1.6kcitations24works0.02yr avg
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Research Topics

Anomaly Detection Techniques and Applications(7), Generative Adversarial Networks and Image Synthesis(6), AI in cancer detection(6), Domain Adaptation and Few-Shot Learning(5), Robotics and Sensor-Based Localization(4)

Publications24 total

Leveraging Electromagnetic Simulation and Deep Learning for Hand-Pose Estimation in Microwave Imaging
2025
MoBluNet: Motion Blur Detection in Microwave Imaging Using Hyper-Optimized CNNs
2024
Generating and Using Synthetic Data for Machine Learning in Personnel Security Screening Scenarios
2023· 7 cited
Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI
Radiology Artificial Intelligence·2021· 42 citedOpen Access
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study
Medical Image Analysis·2021· 18 citedOpen Access
GANs for medical image analysis
Artificial Intelligence in Medicine·2020· 56 citedOpen Access
Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri
2020· 25 cited
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI
Lecture notes in computer science·2020· 38 cited
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
Lecture notes in computer science·2020· 3 citedOpen Access
Adversarial Networks for Camera Pose Regression and Refinement
2019· 23 cited
Staingan: Stain Style Transfer for Digital Histological Images
2019· 38 citedOpen Access
Adversarial Networks for Camera Pose Regression and Refinement
arXiv (Cornell University)·2019· 2 citedOpen Access
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
Lecture notes in computer science·2019· 426 citedOpen Access
Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation
2018· 18 cited
Robust navigation support in lowest dose image setting
International Journal of Computer Assisted Radiology and Surgery·2018· 4 cited
Generating Highly Realistic Images of Skin Lesions with GANs
arXiv (Cornell University)·2018· 6 citedOpen Access
MelanoGANs: High Resolution Skin Lesion Synthesis with GANs
arXiv (Cornell University)·2018· 44 citedOpen Access
Generating Highly Realistic Images of Skin Lesions with GANs
Lecture notes in computer science·2018· 81 cited
Auxiliary Manifold Embedding for Fully Convolutional Networks.
arXiv (Cornell University)·2017· 3 citedOpen Access
Semi-supervised Deep Learning for Fully Convolutional Networks
Lecture notes in computer science·2017· 125 citedOpen Access
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Frequent Co-authors

Nassir Navab(20), Shadi Albarqouni(18), Benedikt Wiestler(7), Stefanie Demirci(3), Mai Bui(3), Vasileios Belagiannis(2), Slobodan Ilić(2), Pascal Fallavollita(2), Fausto Milletarì(2), Georg Schnattinger(2), Miriam C. Senne(2), Felix Achilles(1), Salome Kazeminia(1), Arjan Kuijper(1), Bram van Ginneken(1), Anirban Mukhopadhyay(1), Mark Muehlau(1), Claus Zimmer(1), Robert Graf(1), Muhammad Shaban(1)