Christoph Baur
Christoph Baur
PhD student of Computer Science, TU München
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images
S Albarqouni, C Baur, F Achilles, V Belagiannis, S Demirci, N Navab
IEEE transactions on medical imaging 35 (5), 1313-1321, 2016
3252016
Deep autoencoding models for unsupervised anomaly segmentation in brain MR images
C Baur, B Wiestler, S Albarqouni, N Navab
International MICCAI Brainlesion Workshop, 161-169, 2018
1112018
Staingan: Stain style transfer for digital histological images
MT Shaban, C Baur, N Navab, S Albarqouni
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
702019
GANs for medical image analysis
S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ...
Artificial Intelligence in Medicine, 101938, 2020
662020
Semi-supervised deep learning for fully convolutional networks
C Baur, S Albarqouni, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2017
652017
MelanoGANs: high resolution skin lesion synthesis with GANs
C Baur, S Albarqouni, N Navab
arXiv preprint arXiv:1804.04338, 2018
292018
Generating highly realistic images of skin lesions with GANs
C Baur, S Albarqouni, N Navab
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
222018
Fusing unsupervised and supervised deep learning for white matter lesion segmentation
C Baur, B Wiestler, S Albarqouni, N Navab
International Conference on Medical Imaging with Deep Learning, 63-72, 2019
132019
Cathnets: detection and single-view depth prediction of catheter electrodes
C Baur, S Albarqouni, S Demirci, N Navab, P Fallavollita
International Conference on Medical Imaging and Augmented Reality, 38-49, 2016
112016
Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-Arm image sequences
C Baur, F Milletari, V Belagiannis, N Navab, P Fallavollita
International Conference on Information Processing in Computer-Assisted …, 2015
62015
Adversarial Networks for Camera Pose Regression and Refinement
M Bui, C Baur, N Navab, S Ilic, S Albarqouni
Proceedings of the IEEE International Conference on Computer Vision …, 2019
42019
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
C Baur, S Denner, B Wiestler, S Albarqouni, N Navab
arXiv preprint arXiv:2004.03271, 2020
32020
Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement
M Bui, C Baur, N Navab, S Ilic, S Albarqouni
arXiv preprint arXiv:1903.06646, 2019
22019
Auxiliary manifold embedding for fully convolutional networks
C Baur, S Albarqouni, N Navab
CoRR, 2017
12017
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI
C Baur, R Graf, B Wiestler, S Albarqouni, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2020
2020
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
C Baur, B Wiestler, S Albarqouni, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2020
2020
Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri
C Baur, B Wiestler, S Albarqouni, N Navab
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1905-1909, 2020
2020
Robust navigation support in lowest dose image setting
M Bui, F Bourier, C Baur, F Milletari, N Navab, S Demirci
International journal of computer assisted radiology and surgery 14 (2), 291-300, 2019
2019
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