Nassir Navab
Nassir Navab
Professor of Computer Science, Technische Universität München
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
F Milletari, N Navab, SA Ahmadi
2016 fourth international conference on 3D vision (3DV), 565-571, 2016
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
Deeper depth prediction with fully convolutional residual networks
I Laina, C Rupprecht, V Belagiannis, F Tombari, N Navab
2016 Fourth international conference on 3D vision (3DV), 239-248, 2016
Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data
A Martinez-Möller, M Souvatzoglou, G Delso, RA Bundschuh, ...
Journal of nuclear medicine 50 (4), 520-526, 2009
Model globally, match locally: Efficient and robust 3D object recognition
B Drost, M Ulrich, N Navab, S Ilic
2010 IEEE computer society conference on computer vision and pattern …, 2010
Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes
S Hinterstoisser, V Lepetit, S Ilic, S Holzer, G Bradski, K Konolige, ...
Asian conference on computer vision, 548-562, 2012
Dense image registration through MRFs and efficient linear programming
B Glocker, N Komodakis, G Tziritas, N Navab, N Paragios
Medical image analysis 12 (6), 731-741, 2008
Gradient response maps for real-time detection of textureless objects
S Hinterstoisser, C Cagniart, S Ilic, P Sturm, N Navab, P Fua, V Lepetit
IEEE transactions on pattern analysis and machine intelligence 34 (5), 876-888, 2011
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
S Hinterstoisser, S Holzer, C Cagniart, S Ilic, K Konolige, N Navab, ...
2011 international conference on computer vision, 858-865, 2011
Cnn-slam: Real-time dense monocular slam with learned depth prediction
K Tateno, F Tombari, I Laina, N Navab
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ...
IEEE transactions on medical imaging 30 (11), 1901-1920, 2011
Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention
W Wein, S Brunke, A Khamene, MR Callstrom, N Navab
Medical image analysis 12 (5), 577-585, 2008
Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again
W Kehl, F Manhardt, F Tombari, S Ilic, N Navab
Proceedings of the IEEE International Conference on Computer Vision, 1521-1529, 2017
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
Visual marker detection and decoding in ar systems: A comparative study
X Zhang, S Fronz, N Navab
Proceedings. International Symposium on Mixed and Augmented Reality, 97-106, 2002
Dominant orientation templates for real-time detection of texture-less objects
S Hinterstoisser, V Lepetit, S Ilic, P Fua, N Navab
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Single-point active alignment method (spaam) for optical see-through hmd calibration for augmented reality
M Tuceryan, Y Genc, N Navab
Presence: Teleoperators & Virtual Environments 11 (3), 259-276, 2002
Advanced medical displays: A literature review of augmented reality
T Sielhorst, M Feuerstein, N Navab
Journal of Display Technology 4 (4), 451-467, 2008
Enhanced 3-D-reconstruction algorithm for C-arm systems suitable for interventional procedures
K Wiesent, K Barth, N Navab, P Durlak, T Brunner, O Schuetz, W Seissler
IEEE transactions on medical imaging 19 (5), 391-403, 2000
Human skeleton tracking from depth data using geodesic distances and optical flow
LA Schwarz, A Mkhitaryan, D Mateus, N Navab
Image and Vision Computing 30 (3), 217-226, 2012
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