עקוב אחר
Nassir Navab
Nassir Navab
Professor of Computer Science, Technische Universität München
כתובת אימייל מאומתת בדומיין cs.tum.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
117832016
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
33542017
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
23982016
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
17072013
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
13072010
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
12432017
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
11662018
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
9892017
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
8582011
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
8332009
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
8212016
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
8032011
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
7172016
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
6462017
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
6312019
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
5712008
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
5622020
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
5262011
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
5072018
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
4842017
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מאמרים 1–20