| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1373 | 2018 |
| 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 | 735 | 2008 |
| Translating and segmenting multimodal medical volumes with cycle-and shapeconsistency generative adversarial network Z Zhang, L Yang, Y Zheng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 408 | 2018 |
| Robust point matching for nonrigid shapes by preserving local neighborhood structures Y Zheng, D Doermann IEEE transactions on pattern analysis and machine intelligence 28 (4), 643-649, 2006 | 381 | 2006 |
| Machine printed text and handwriting identification in noisy document images Y Zheng, H Li, D Doermann IEEE transactions on pattern analysis and machine intelligence 26 (3), 337-353, 2004 | 276 | 2004 |
| Med3D: Transfer Learning for 3D Medical Image Analysis S Chen, K Ma, Y Zheng arXiv preprint arXiv:1904.00625, 2019 | 268 | 2019 |
| Script-independent text line segmentation in freestyle handwritten documents Y Li, Y Zheng, D Doermann, S Jaeger IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1313-1329, 2008 | 267 | 2008 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature Communications 13 (1), 1-13, 2022 | 260 | 2022 |
| Multi-scale deep reinforcement learning for real-time 3D-landmark detection in CT scans FC Ghesu, B Georgescu, Y Zheng, S Grbic, A Maier, J Hornegger, ... IEEE transactions on pattern analysis and machine intelligence 41 (1), 176-189, 2017 | 248 | 2017 |
| 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 | 224 | 2007 |
| Combo loss: Handling input and output imbalance in multi-organ segmentation SA Taghanaki, Y Zheng, SK Zhou, B Georgescu, P Sharma, D Xu, ... Computerized Medical Imaging and Graphics 75, 24-33, 2019 | 217 | 2019 |
| 3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data Y Zheng, D Liu, B Georgescu, H Nguyen, D Comaniciu MICCAI, 2015 | 204 | 2015 |
| Method and System for Anatomical Object Detection Using Marginal Space Deep Neural Networks B Georgescu, Y Zheng, H Hguyen, VK Singh, D Comaniciu, D Liu US Patent 20,160,174,902, 2016 | 202 | 2016 |
| Hierarchical, learning-based automatic liver segmentation H Ling, SK Zhou, Y Zheng, B Georgescu, M Suehling, D Comaniciu 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 196 | 2008 |
| Deep similarity learning for multimodal medical images X Cheng, L Zhang, Y Zheng Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 192 | 2018 |
| Method and system for comprehensive patient-specific modeling of the heart RI Ionasec, I Voigt, V Mihalef, S Grbic, D Vitanovski, Y Wang, Y Zheng, ... US Patent 8,682,626, 2014 | 179 | 2014 |
| Marginal space deep learning: Efficient architecture for volumetric image parsing FC Ghesu, E Krubasik, B Georgescu, V Singh, Y Zheng, J Hornegger, ... IEEE transactions on medical imaging 35 (5), 1217-1228, 2016 | 174 | 2016 |
| Deep learning and convolutional neural networks for medical image computing L Lu, Y Zheng, G Carneiro, L Yang Advances in Computer Vision and Pattern Recognition 10, 978-3, 2017 | 169 | 2017 |
| Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets C Tobon-Gomez, AJ Geers, J Peters, J Weese, K Pinto, R Karim, ... IEEE transactions on medical imaging 34 (7), 1460-1473, 2015 | 162 | 2015 |
| Method and System for Machine Learning Based Assessment of Fractional Flow Reserve P Sharma, A Kamen, B Georgescu, F Sauer, D Comaniciu, Y Zheng, ... US Patent 20,150,112,182, 2015 | 157 | 2015 |
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