Nassir Navab

Munich Center for Machine Learning

Research Areas

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H-index

100

Publications

2030

Citations

55313

i10-index

803

Publications & Citations Over Time

Top Cited Publications

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Title	Year	Citations
Diagnostic Assessment of Deep Learning Algorithms ...	2017	3260
Medical Image Computing and Computer-Assisted Inte...	2015	2256
Model Based Training, Detection and Pose Estimatio...	2013	1188
V-Net: Fully Convolutional Neural Networks for Vol...	2016	1063
Model globally, match locally: Efficient and robus...	2010	981
Concurrent Spatial and Channel ‘Squeeze & Exci...	2018	814
Structure-Preserving Color Normalization and Spars...	2016	798
CNN-SLAM: Real-Time Dense Monocular SLAM with Lear...	2017	750
Tissue Classification as a Potential Approach for ...	2009	707
Multimodal templates for real-time detection of te...	2011	646

Publications

1.
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Year: 2017Citations: 3260DOI: 10.1001/jama.2017.14585
2.
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
Year: 2015Citations: 2256DOI: 10.1007/978-3-319-24553-9
3.
Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
Year: 2013Citations: 1188DOI: 10.1007/978-3-642-37331-2_42
4.
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Year: 2016Citations: 1063DOI: 10.1109/3dv.2016.79
5.
Model globally, match locally: Efficient and robust 3D object recognition
Year: 2010Citations: 981DOI: 10.1109/cvpr.2010.5540108
6.
Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks
Year: 2018Citations: 814DOI: 10.1007/978-3-030-00928-1_48
7.
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
Year: 2016Citations: 798DOI: 10.1109/tmi.2016.2529665
8.
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction
Year: 2017Citations: 750DOI: 10.1109/cvpr.2017.695
9.
Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data
Year: 2009Citations: 707DOI: 10.2967/jnumed.108.054726
10.
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
Year: 2011Citations: 646DOI: 10.1109/iccv.2011.6126326

About Nassir Navab

Nassir Navab is a researcher with 2030 publications and 55313 citations. They are affiliated with Munich Center for Machine Learning. Their research focuses on . With an h-index of 100, they are among the top researchers in their field.

Citation Distribution

Distribution of citations across publications

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Impact Metrics Over Time

Citations per publication by year