| Family of boundary overlap metrics for the evaluation of medical image segmentation V Yeghiazaryan, I Voiculescu Journal of Medical Imaging 5 (1), 015006-015006, 2018 | 213 | 2018 |
| Implicit curves and surfaces: mathematics, data structures and algorithms AJP Gomes, I Voiculescu, J Jorge, B Wyvill, C Galbraith Springer London, 2009 | 174 | 2009 |
| Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical image analysis 70, 102002, 2021 | 131 | 2021 |
| Comparison of interval methods for plotting algebraic curves R Martin, H Shou, I Voiculescu, A Bowyer, G Wang Computer Aided Geometric Design 19 (7), 553-587, 2002 | 107 | 2002 |
| An overview of current evaluation methods used in medical image segmentation V Yeghiazaryan, I Voiculescu Department of Computer Science, University of Oxford, 2015, 2015 | 89 | 2015 |
| The presidential veto CM Cameron | 57 | 2009 |
| Federated contrastive learning for decentralized unlabeled medical images N Dong, I Voiculescu International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 56 | 2021 |
| RAR-U-Net: a residual encoder to attention decoder by residual connections framework for spine segmentation under noisy labels Z Wang, Z Zhang, I Voiculescu 2021 IEEE International Conference on Image Processing (ICIP), 21-25, 2021 | 44 | 2021 |
| Deep learning in medical ultrasound image segmentation: a review Z Wang arXiv preprint arXiv:2002.07703, 2020 | 35 | 2020 |
| Affine arithmetic in matrix form for polynomial evaluation and algebraic curve drawing HH Shou, R Martin, I Voiculescu, A Bowyer, GJ Wang Progress in Natural Science 12 (1), 77-81, 2002 | 34 | 2002 |
| Interval methods in geometric modeling A Bowyer, J Berchtold, D Eisenthal, I Voiculescu, K Wise Proceedings Geometric Modeling and Processing 2000. Theory and Applications …, 2000 | 30 | 2000 |
| Computationally-efficient vision transformer for medical image semantic segmentation via dual pseudo-label supervision Z Wang, N Dong, I Voiculescu 2022 IEEE International Conference on Image Processing (ICIP), 1961-1965, 2022 | 26 | 2022 |
| Contour-hugging heatmaps for landmark detection J McCouat, I Voiculescu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26 | 2022 |
| Quadruple augmented pyramid network for multi-class COVID-19 segmentation via CT Z Wang, I Voiculescu 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 26 | 2021 |
| Self-supervised multi-task representation learning for sequential medical images N Dong, M Kampffmeyer, I Voiculescu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 26 | 2021 |
| An uncertainty-aware transformer for MRI cardiac semantic segmentation via mean teachers Z Wang, JQ Zheng, I Voiculescu Annual Conference on Medical Image Understanding and Analysis, 494-507, 2022 | 25 | 2022 |
| Two tree-based methods for the waterfall SM Golodetz, C Nicholls, ID Voiculescu, SA Cameron Pattern Recognition 47 (10), 3276-3292, 2014 | 23 | 2014 |
| Towards robust partially supervised multi-structure medical image segmentation on small-scale data N Dong, M Kampffmeyer, X Liang, M Xu, I Voiculescu, E Xing Applied Soft Computing 114, 108074, 2022 | 20 | 2022 |
| Segmentation of hip cartilage in compositional magnetic resonance imaging: A fast, accurate, reproducible, and clinically viable semi‐automated methodology S Fernquest, D Park, M Marcan, A Palmer, I Voiculescu, S Glyn‐Jones Journal of Orthopaedic Research® 36 (8), 2280-2287, 2018 | 20* | 2018 |
| Federated partially supervised learning with limited decentralized medical images N Dong, M Kampffmeyer, I Voiculescu, E Xing IEEE Transactions on Medical Imaging 42 (7), 1944-1954, 2022 | 18 | 2022 |
Varduhi YeghiazaryanAmerican University of Armenia在 aua.am 的电子邮件经过验证
