| 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 Image Processing 35 (8), 1962 - 71, 2016 | 625 | 2016 |
| A BaSiC tool for background and shading correction of optical microscopy images T Peng, K Thorn, T Schroeder, L Wang, FJ Theis, C Marr, N Navab Nature Communications, 2017 | 254 | 2017 |
| Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open … J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ... The Lancet Oncology 18 (1), 132-142, 2017 | 161 | 2017 |
| Heterogeneous Ensembles for Predicting Survival of Metastatic, Castrate- Resistant Prostate Cancer Patients S Poelsterl, P Gupta, L Wang, S Conjeti, A Katouzian, N Navab F1000Research, 2017 | 34 | 2017 |
| A general framework for context-specific image segmentation using reinforcement learning L Wang, K Lekadir, SL Lee, R Merrifield, GZ Yang IEEE transactions on medical imaging 32 (5), 943-956, 2013 | 34 | 2013 |
| Shading correction for whole slide image using low rank and sparsedecomposition T Peng, L Wang, C Bayer, S Conjeti, M Baust, N Navab Medical Image Computing and Computer Assisted Intervention, 2014 | 16 | 2014 |
| A BaSiC tool for background and shading correction of optical microscopy images. Nat Commun 8: 14836 T Peng, K Thorn, T Schroeder, L Wang, FJ Theis, C Marr, N Navab | 15 | 2017 |
| Structure-based assessment of cancerous mitochondria using deep networks M Mishra, S Schmitt, L Wang, M Strasser, C Marr, N Navab, H zischka, ... International Symposium on Biomedical Imaging, 2016 | 14 | 2016 |
| Single-view X-ray depth recovery: toward a novel concept for image-guided interventions S Albarqouni, U Konrad, L Wang, N Navab, S Demirci International Journal of Computer Assisted Radiology and Surgery 11 (6), 873 …, 2016 | 12 | 2016 |
| Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests K Sharma, L Peter, C Rupprecht, A Caroli, L Wang, A Remuzzi, M Baust, ... CoRR, 2015 | 12 | 2015 |
| Reinforcement learning for context aware segmentation L Wang, R Merrifield, GZ Yang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 9 | 2011 |
| Intraoperative augmented reality visualization: Current state of development and initial experiences with the CamC S Weidert, L Wang, A von der Heide, N Navab, E Euler Der Unfallchirurg 115, 209-213, 2012 | 8 | 2012 |
| Motion-adapted catheter navigation with real-time instantiation and improved visualisation SL Lee, KW Kwok, L Wang, C Riga, C Bicknell, N Cheshire, GZ Yang Journal of robotic surgery 7, 251-260, 2013 | 6 | 2013 |
| Artificial intelligence system employing multimodal learning for analyzing entity record relationships AD Xianshun Chen, Lichao Wang US Patent 11,423,072, 2022 | 5 | 2022 |
| Subject specific shape modeling with incremental mixture models L Wang, K Lekadir, I EI-Hamamsy, M Yacoub, GZ Yang Medical Imaging and Augmented Reality: 5th International Workshop, MIAR 2010 …, 2010 | 5 | 2010 |
| Anatomic-landmark detection using graphical context modelling L Wang, V Belagiannis, C Marr, F Theis, GZ Yang, N Navab International Symposium on Biomedical Imaging, 2015 | 4 | 2015 |
| Application and Analysis of Time Domain Cross Correlation for Traffic Flow Speed Measurement L Wang, Q Lu, X Chen Eighth ACIS International Conference on Software Engineering, Artificial …, 2007 | 4 | 2007 |
| Simplified binocular stereo distance-measurement algorithm and a system based on competition L Wang, C Xiong, C Wang, Q Lu Chinese Journal of Sensors and Actuators 20 (1), 150-153, 2007 | 4 | 2007 |
| Machine learned system for predicting item package quantity relationship between item descriptions DZ Lichao Wang, Kai Liu, Archi Dutta US Patent 11,461,829, 2022 | 2 | 2022 |
| Evaluation of domain adaptation approaches for robust classification of heterogeneous biological data sets CM Michael Schneider, Lichao Wang 28th International Conference on Artificial Neural Networks, 2019 | 2* | 2019 |
Nassir NavabProfessor of Computer Science, Technische Universität München在 cs.tum.edu 的电子邮件经过验证
