Nassir Navab
Nassir Navab
Professor of Computer Science, Technische Universität München
Bestätigte E-Mail-Adresse bei cs.tum.edu - Startseite
TitelZitiert vonJahr
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
13672016
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
6132009
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
5632016
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
5512010
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
4752017
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
4632008
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
4472012
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
3612011
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
3582008
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
3532011
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
3202011
Visual marker detection and decoding in ar systems: A comparative study
X Zhang, S Fronz, N Navab
Proceedings of the 1st International Symposium on Mixed and Augmented …, 2002
2902002
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
2612000
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
2582010
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
2532002
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
2332016
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
2302017
Advanced medical displays: A literature review of augmented reality
T Sielhorst, M Feuerstein, N Navab
Journal of Display Technology 4 (4), 451-467, 2008
2282008
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
2112012
Patient-specific modeling and quantification of the aortic and mitral valves from 4-D cardiac CT and TEE
RI Ionasec, I Voigt, B Georgescu, Y Wang, H Houle, F Vega-Higuera, ...
IEEE transactions on medical imaging 29 (9), 1636-1651, 2010
2012010
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