| Persistent homology computation with a twist C Chen, M Kerber Proceedings 27th European Workshop on Computational Geometry 11, 197-200, 2011 | 153 | 2011 |
| Topology-preserving deep image segmentation X Hu, F Li, D Samaras, C Chen Advances in Neural Information Processing Systems, 5657-5668, 2019 | 148 | 2019 |
| Efficient computation of persistent homology for cubical data H Wagner, C Chen, E Vuçini Topological Methods in Data Analysis and Visualization II, 91-106, 2012 | 104 | 2012 |
| Hardness results for homology localization C Chen, D Freedman Discrete & Computational Geometry 45 (3), 425-448, 2011 | 89 | 2011 |
| A Topological Regularizer for Classifiers via Persistent Homology C Chen, X Ni, Q Bai, Y Wang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 83 | 2019 |
| Learning with Feature Dependent Label Noise: a Progressive Approach Y Zhang, S Zheng, P Wu, M Goswami, C Chen International Conference on Learning Representations (ICLR), 2021 | 76 | 2021 |
| Error-Bounded Correction of Noisy Labels S Zheng, P Wu, A Goswami, M Goswami, D Metaxas, C Chen ICML, 2020 | 70 | 2020 |
| An output-sensitive algorithm for persistent homology C Chen, M Kerber Computational Geometry 46 (4 - special issue for SOCG 2011), 435-447, 2013 | 69 | 2013 |
| Annotating simplices with a homology basis and its applications O Busaryev, S Cabello, C Chen, TK Dey, Y Wang Scandinavian workshop on algorithm theory, 189-200, 2012 | 65 | 2012 |
| Measuring and computing natural generators for homology groups C Chen, D Freedman Computational Geometry 43 (2), 169-181, 2010 | 65 | 2010 |
| Enforcing topological constraints in random field image segmentation C Chen, D Freedman, CH Lampert CVPR 2011, 2089-2096, 2011 | 62 | 2011 |
| Localization in the Crowd with Topological Constraints S Abousamra, M Hoai, D Samaras, C Chen AAAI Conference in Artificial Intelligence (AAAI), 2021 | 60 | 2021 |
| A Topological Filter for Learning with Label Noise P Wu, S Zheng, M Goswami, D Metaxas, C Chen Advances in Neural Information Processing Systems 33, 2020 | 53 | 2020 |
| Hick–Hyman law is mediated by the cognitive control network in the brain T Wu, AJ Dufford, LJ Egan, MA Mackie, C Chen, C Yuan, C Chen, X Li, ... Cerebral Cortex 28 (7), 2267-2282, 2018 | 51 | 2018 |
| Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Q Chang, H Qu, Y Zhang, M Sabuncu, C Chen, T Zhang, DN Metaxas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 49 | 2020 |
| Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images DJ Fassler, S Abousamra, R Gupta, C Chen, M Zhao, D Paredes, ... Diagnostic Pathology 15 (1), 1-11, 2020 | 48 | 2020 |
| Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration P Wu, C Chen, Y Wang, S Zhang, C Yuan, Z Qian, D Metaxas, L Axel Information Processing in Medical Imaging (IPMI), 80-92, 2017 | 47 | 2017 |
| An efficient conditional random field approach for automatic and interactive neuron segmentation M Uzunbas, C Chen, D Metaxas Medical Image Analysis 27, 31-44, 2016 | 45 | 2016 |
| Persistence Enhanced Graph Neural Network Q Zhao, Z Ye, C Chen, Y Wang International Conference on Artificial Intelligence and Statistics, 2896-2906, 2020 | 43 | 2020 |
| Computing the M Most Probable Modes of a Graphical Model C Chen, V Kolmogorov, Y Zhu, D Metaxas, CH Lampert International Conference on Artificial Intelligence and Statistics (AISTATS), 2013 | 42 | 2013 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
