Maximilian Baust
Maximilian Baust
Senior Manager AI Developer Technology EMEA
Verified email at - Homepage
Cited by
Cited by
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), 1-7, 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
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
Privacy-preserving federated brain tumour segmentation
W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ...
International workshop on machine learning in medical imaging, 133-141, 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
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), 1-10, 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
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
Deep active contours
C Rupprecht, E Huaroc, M Baust, N Navab
arXiv preprint arXiv:1607.05074, 2016
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
Vascular image registration techniques: A living review
S Matl, R Brosig, M Baust, N Navab, S Demirci
Medical image analysis 35, 1-17, 2017
CFCM: segmentation via coarse to fine context memory
F Milletari, N Rieke, M Baust, M Esposito, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Assessment of breast cancer histology using densely connected convolutional networks
M Kohl, C Walz, F Ludwig, S Braunewell, M Baust
International Conference Image Analysis and Recognition, 903-913, 2018
3D stent recovery from one x-ray projection
S Demirci, A Bigdelou, L Wang, C Wachinger, M Baust, R Tibrewal, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2011
Midbrain segmentation in transcranial 3D ultrasound for Parkinson diagnosis
SA Ahmadi, M Baust, A Karamalis, A Plate, K Boetzel, T Klein, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 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
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), 1-8, 2019
Predicate-based focus-and-context visualization for 3D ultrasound
CS zu Berge, M Baust, A Kapoor, N Navab
IEEE Transactions on Visualization and Computer Graphics 20 (12), 2379-2387, 2014
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
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 (5), 619-627, 2018
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