| Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features Y Zheng, A Barbu, B Georgescu, M Scheuering, D Comaniciu IEEE transactions on medical imaging 27 (11), 1668-1681, 2008 | 768 | 2008 |
| Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities A Barbu, SC Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (8), 1239-1253, 2005 | 278 | 2005 |
| Fast automatic heart chamber segmentation from 3D CT data using marginal space learning and steerable features Y Zheng, A Barbu, B Georgescu, M Scheuering, D Comaniciu 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 226 | 2007 |
| RENOIR-A Dataset for Real Low-Light Image Noise Reduction J Anaya, A Barbu Journal of Visual Communication and Image Representation 51 (2), 144-154, 2018 | 221* | 2018 |
| Hierarchical parsing and semantic navigation of full body CT data S Seifert, A Barbu, SK Zhou, D Liu, J Feulner, M Huber, M Suehling, ... Medical Imaging 2009: Image Processing 7259, 29-36, 2009 | 177 | 2009 |
| Graph partition by Swendsen-Wang cuts A Barbu, SC Zhu IEEE International Conference on Computer Vision, 320, 2003 | 157 | 2003 |
| Feature Selection with Annealing for Computer Vision and Big Data Learning A Barbu, Y She, L Ding, G Gramajo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 | 136 | 2016 |
| Training an active random field for real-time image denoising A Barbu IEEE Transactions on Image Processing 18 (11), 2451-2462, 2009 | 123 | 2009 |
| Monte Carlo Methods A Barbu, SC Zhu Springer Singapore 35, 36, 2020 | 120 | 2020 |
| Automatic Detection and Segmentation of Lymph Nodes from CT Data A Barbu, M Suehling, X Xu, D Liu, SK Zhou, D Comaniciu IEEE Transactions on Medical Imaging 31 (2), 240-250, 2012 | 114 | 2012 |
| Method and system for generating a four-chamber heart model Y Zheng, A Barbu, B Georgescu, M Lynch, M Scheuering, D Comaniciu US Patent 9,275,190, 2016 | 111 | 2016 |
| System and method for detecting and tracking a guidewire in a fluoroscopic image sequence A Barbu, V Athitsos, B Georgescu, P Durlak, S Boehm, D Comaniciu US Patent 7,792,342, 2010 | 109 | 2010 |
| Probabilistic 3D polyp detection in CT images: The role of sample alignment Z Tu, XS Zhou, L Bogoni, A Barbu, D Comaniciu 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 92 | 2006 |
| The generalization-stability tradeoff in neural network pruning B Bartoldson, A Morcos, A Barbu, G Erlebacher Advances in Neural Information Processing Systems 33, 20852-20864, 2020 | 86 | 2020 |
| System and method for segmenting chambers of a heart in a three dimensional image Y Zheng, A Barbu, B Georgescu, M Scheuering, D Comaniciu US Patent 7,916,919, 2011 | 85 | 2011 |
| Hierarchical learning of curves application to guidewire localization in fluoroscopy A Barbu, V Athitsos, B Georgescu, S Boehm, P Durlak, D Comaniciu 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 77 | 2007 |
| SPADES and mixture models F Bunea, AB Tsybakov, MH Wegkamp, A Barbu The Annals of Statistics 38 (4), 2525-2558, 2010 | 70 | 2010 |
| Automatic detection and segmentation of axillary lymph nodes A Barbu, M Suehling, X Xu, D Liu, SK Zhou, D Comaniciu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 63 | 2010 |
| Prediction of the crack condition of highway pavements using machine learning models S Inkoom, J Sobanjo, A Barbu, X Niu Structure and Infrastructure Engineering 15 (7), 940-953, 2019 | 62 | 2019 |
| Pavement Crack Rating Using Machine Learning Frameworks: Partitioning, Bootstrap Forest, Boosted Trees, Naïve Bayes, and K-Nearest Neighbors S Inkoom, J Sobanjo, A Barbu, X Niu Journal of Transportation Engineering, Part B: Pavements 145 (3), 04019031, 2019 | 56 | 2019 |
Dorin ComaniciuSiemens Healthineers在 siemens-healthineers.com 的电子邮件经过验证
