Nassir Navab

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Federico TombariGoogle, TU MunichDirección de correo verificada de in.tum.de
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzMunichDirección de correo verificada de uni-bonn.de
Seyed-Ahmad AhmadiSenior Solution Architect, Deep Learning in Healthcare @ NVIDIADirección de correo verificada de cs.tum.edu
Slobodan IlicSenior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUMDirección de correo verificada de in.tum.de
Christian WachingerMIT, Harvard medical schoolDirección de correo verificada de csail.mit.edu
Pascal FallavollitaAssoc. Prof. - University of OttawaDirección de correo verificada de uottawa.ca
Diana MateusEcole Centrale Nantes / LS2NDirección de correo verificada de ec-nantes.fr
Joerg TraubAdj. Prof. Computer Science, TUM, Munich, GermanyDirección de correo verificada de cs.tum.edu
Amin KatouzianIBM Watson Health Imaging, Rapid DevelopmentDirección de correo verificada de us.ibm.com
Sailesh ConjetiGlobal Product Lead, Artificial Intelligence, OlympusDirección de correo verificada de olympus.com
Fausto MilletarìPaige.aiDirección de correo verificada de paige.ai
Maximilian BaustSenior Manager AI Developer Technology EMEADirección de correo verificada de nvidia.com
Javad FotouhiPhilips ResearchDirección de correo verificada de philips.com
Abhijit Guha RoyGoogle ResearchDirección de correo verificada de google.com
Wolfgang WeinCEO, ImFusion GmbH; Adjunct Professor, TU MunichDirección de correo verificada de cs.tum.edu
Benjamin BusamTechnische Universität MünchenDirección de correo verificada de in.tum.de
Tobias LasserTechnische Universität MünchenDirección de correo verificada de cit.tum.de
Bernhard FuerstJohns Hopkins UniversityDirección de correo verificada de jhu.edu
Christian RupprechtUniversity of OxfordDirección de correo verificada de robots.ox.ac.uk
Dr. Ulrich EckVice Director, Senior Research Scientist, Technische Universität MünchenDirección de correo verificada de tum.de

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Nassir Navab

Professor of Computer Science, Technische Universität München

Dirección de correo verificada de cs.tum.edu - Página principal


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	8740	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	2618	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	2041	2016
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, ... Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013	1387	2013
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	1114	2010
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	1008	2017
Concurrent spatial and channel ‘squeeze & excitation’in fully convolutional networks AG Roy, N Navab, C Wachinger Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	831	2018
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	812	2017
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	797	2009
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	721	2011
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	719	2011
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	630	2016
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	568	2008
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	537	2016
ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks AG Roy, S Conjeti, SPK Karri, D Sheet, A Katouzian, C Wachinger, ... Biomedical optics express 8 (8), 3627-3642, 2017	529	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	496	2011
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	493	2019
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	460	2008
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound F Milletari, SA Ahmadi, C Kroll, A Plate, V Rozanski, J Maiostre, J Levin, ... Computer Vision and Image Understanding 164, 92-102, 2017	429	2017
Advanced medical displays: A literature review of augmented reality T Sielhorst, M Feuerstein, N Navab Journal of Display Technology 4 (4), 451-467, 2008	394	2008

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