Nassir Navab

Dikutip oleh

	Semua	Sejak 2019
Kutipan	84839	59732
indeks-h	124	94
indeks-i10	969	693

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224 artikel

51 artikel

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Federico TombariGoogle, TU MunichEmail yang diverifikasi di in.tum.de
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAIEmail yang diverifikasi di uni-bonn.de
Seyed-Ahmad AhmadiSenior Solution Architect, Deep Learning in Healthcare @ NVIDIAEmail yang diverifikasi di cs.tum.edu
Slobodan IlicSenior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUMEmail yang diverifikasi di in.tum.de
Christian WachingerTechnical University of MunichEmail yang diverifikasi di csail.mit.edu
Pascal FallavollitaAssoc. Prof. - University of OttawaEmail yang diverifikasi di uottawa.ca
Diana MateusEcole Centrale Nantes / LS2NEmail yang diverifikasi di ec-nantes.fr
Benjamin BusamTechnische Universität MünchenEmail yang diverifikasi di in.tum.de
Joerg TraubAdj. Prof. Computer Science, TUM, Munich, GermanyEmail yang diverifikasi di cs.tum.edu
Amin KatouzianCEO & Co-fouder, Vayo Inc.Email yang diverifikasi di myvayo.com
Sailesh ConjetiGlobal Product Lead, Artificial Intelligence, OlympusEmail yang diverifikasi di olympus.com
Fausto MilletarìPaige.aiEmail yang diverifikasi di paige.ai
Javad FotouhiGroup Leader, AI & Imaging Algorithms, Philips ResearchEmail yang diverifikasi di philips.com
Abhijit Guha RoyGoogle ResearchEmail yang diverifikasi di google.com
Maximilian BaustSenior Manager AI Developer Technology EMEAEmail yang diverifikasi di nvidia.com
Dr. Ulrich EckVice Director, Senior Research Scientist, Technische Universität MünchenEmail yang diverifikasi di tum.de
Bernhard FuerstJohns Hopkins UniversityEmail yang diverifikasi di jhu.edu
Wolfgang WeinCEO, ImFusion GmbH; Adjunct Professor, TU MunichEmail yang diverifikasi di cs.tum.edu
Tobias LasserNVIDIA, Technische Universität MünchenEmail yang diverifikasi di nvidia.com
Christian RupprechtUniversity of OxfordEmail yang diverifikasi di robots.ox.ac.uk

Ikuti

Nassir Navab

Professor of Computer Science, Technische Universität München

Email yang diverifikasi di cs.tum.edu - Beranda


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	11197	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	3249	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	2342	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	1619	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	1264	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	1212	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	1112	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	958	2017
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	837	2011
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	822	2009
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	792	2011
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	787	2016
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	704	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	622	2017
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	607	2019
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	570	2008
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	525	2011
GANs for medical image analysis S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ... Artificial intelligence in medicine 109, 101938, 2020	518	2020
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	485	2008
Recalibrating fully convolutional networks with spatial and channel “squeeze and excitation” blocks AG Roy, N Navab, C Wachinger IEEE transactions on medical imaging 38 (2), 540-549, 2018	474	2018

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