| 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 | 693 | 2016 |
| Deep autoencoding models for unsupervised anomaly segmentation in brain MR images C Baur, B Wiestler, S Albarqouni, N Navab Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 594 | 2019 |
| GANs for medical image analysis S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ... Artificial intelligence in medicine 109, 101938, 2020 | 491 | 2020 |
| 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 | 342 | 2019 |
| Autoencoders for unsupervised anomaly segmentation in brain MR images: a comparative study C Baur, S Denner, B Wiestler, N Navab, S Albarqouni Medical Image Analysis 69, 101952, 2021 | 339 | 2021 |
| Semi-supervised deep learning for fully convolutional networks C Baur, S Albarqouni, N Navab Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 157 | 2017 |
| 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 | 119 | 2018 |
| MelanoGANs: high resolution skin lesion synthesis with GANs C Baur, S Albarqouni, N Navab arXiv preprint arXiv:1804.04338, 2018 | 114 | 2018 |
| 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 | 53 | 2020 |
| Scale-space autoencoders for unsupervised anomaly segmentation in brain mri C Baur, B Wiestler, S Albarqouni, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 41 | 2020 |
| Modeling healthy anatomy with artificial intelligence for unsupervised anomaly detection in brain MRI C Baur, B Wiestler, M Muehlau, C Zimmer, N Navab, S Albarqouni Radiology: Artificial Intelligence 3 (3), e190169, 2021 | 40 | 2021 |
| 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 | 35 | 2020 |
| 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 | 34 | 2019 |
| Adversarial networks for camera pose regression and refinement M Bui, C Baur, N Navab, S Ilic, S Albarqouni Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 28 | 2019 |
| Cathnets: detection and single-view depth prediction of catheter electrodes C Baur, S Albarqouni, S Demirci, N Navab, P Fallavollita Medical Imaging and Augmented Reality: 7th International Conference, MIAR …, 2016 | 20 | 2016 |
| 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 | 15 | 2015 |
| 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 | 5 | 2019 |
| StainGAN: stain style transfer for digital histological images M Tarek Shaban, C Baur, N Navab, S Albarqouni arXiv e-prints, arXiv: 1804.01601, 2018 | 4 | 2018 |
| Auxiliary manifold embedding for fully convolutional networks C Baur, S Albarqouni, N Navab arXiv preprint arXiv:1703.06000, 2017 | 3 | 2017 |
| Generating and Using Synthetic Data for Machine Learning in Personnel Security Screening Scenarios G Schnattinger, C Baur, B Huber 2023 20th European Radar Conference (EuRAD), 139-142, 2023 | 2 | 2023 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
