| The future of digital health with federated learning N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ... NPJ digital medicine 3 (1), 119, 2020 | 843 | 2020 |
| Structure-preserving color normalization and sparse stain separation for histological images A Vahadane, T Peng, A Sethi, S Albarqouni, L Wang, M Baust, K Steiger, ... IEEE transactions on medical imaging 35 (8), 1962-1971, 2016 | 476 | 2016 |
| Bach: Grand challenge on breast cancer histology images G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ... Medical image analysis 56, 122-139, 2019 | 432 | 2019 |
| Privacy-preserving federated brain tumour segmentation W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 352 | 2019 |
| Killingfusion: Non-rigid 3d reconstruction without correspondences M Slavcheva, M Baust, D Cremers, S Ilic Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 166 | 2017 |
| Learning in an uncertain world: Representing ambiguity through multiple hypotheses C Rupprecht, I Laina, R DiPietro, M Baust, F Tombari, N Navab, GD Hager Proceedings of the IEEE international conference on computer vision, 3591-3600, 2017 | 164 | 2017 |
| Automatic segmentation of kidneys using deep learning for total kidney volume quantification in autosomal dominant polycystic kidney disease K Sharma, C Rupprecht, A Caroli, MC Aparicio, A Remuzzi, M Baust, ... Scientific reports 7 (1), 2049, 2017 | 151 | 2017 |
| Sobolevfusion: 3d reconstruction of scenes undergoing free non-rigid motion M Slavcheva, M Baust, S Ilic Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 99 | 2018 |
| Structure-preserved color normalization for histological images A Vahadane, T Peng, S Albarqouni, M Baust, K Steiger, AM Schlitter, ... 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 1012-1015, 2015 | 83 | 2015 |
| Deep active contours C Rupprecht, E Huaroc, M Baust, N Navab arXiv preprint arXiv:1607.05074, 2016 | 75 | 2016 |
| Machine learning in medical imaging W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ... 10th international workshop, MLMI, 133-141, 2019 | 59 | 2019 |
| Vascular image registration techniques: A living review S Matl, R Brosig, M Baust, N Navab, S Demirci Medical image analysis 35, 1-17, 2017 | 51 | 2017 |
| Assessment of breast cancer histology using densely connected convolutional networks M Kohl, C Walz, F Ludwig, S Braunewell, M Baust Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 45 | 2018 |
| CFCM: segmentation via coarse to fine context memory F Milletari, N Rieke, M Baust, M Esposito, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 43 | 2018 |
| Classification of polar maps from cardiac perfusion imaging with graph-convolutional neural networks N Spier, S Nekolla, C Rupprecht, M Mustafa, N Navab, M Baust Scientific reports 9 (1), 7569, 2019 | 39 | 2019 |
| 3D stent recovery from one x-ray projection S Demirci, A Bigdelou, L Wang, C Wachinger, M Baust, R Tibrewal, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 35 | 2011 |
| Disocclusion-based 2D–3D registration for aortic interventions S Demirci, M Baust, O Kutter, F Manstad-Hulaas, HH Eckstein, N Navab Computers in biology and medicine 43 (4), 312-322, 2013 | 31 | 2013 |
| Midbrain segmentation in transcranial 3D ultrasound for Parkinson diagnosis SA Ahmadi, M Baust, A Karamalis, A Plate, K Boetzel, T Klein, N Navab Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 31 | 2011 |
| Use the force: deformation correction in robotic 3D ultrasound S Virga, R Göbl, M Baust, N Navab, C Hennersperger International journal of computer assisted radiology and surgery 13, 619-627, 2018 | 22 | 2018 |
| A general preconditioning scheme for difference measures in deformable registration D Zikic, M Baust, A Kamen, N Navab 2011 International Conference on Computer Vision, 49-56, 2011 | 19 | 2011 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenBestätigte E-Mail-Adresse bei cs.tum.edu
