| Epithelium-stroma classification via convolutional neural networks and unsupervised domain adaptation in histopathological images Y Huang, H Zheng, C Liu, X Ding, GK Rohde IEEE journal of biomedical and health informatics 21 (6), 1625-1632, 2017 | 84 | 2017 |
| SetSVM: an approach to set classification in nuclei-based cancer detection C Liu, Y Huang, JA Ozolek, MG Hanna, R Singh, GK Rohde IEEE journal of biomedical and health informatics 23 (1), 351-361, 2018 | 30 | 2018 |
| Detecting and segmenting cell nuclei in two-dimensional microscopy images C Liu, F Shang, JA Ozolek, GK Rohde Journal of Pathology Informatics 7 (1), 42, 2016 | 24 | 2016 |
| Impact of altering various image parameters on human epidermal growth factor receptor 2 image analysis data quality L Pantanowitz, C Liu, Y Huang, H Guo, GK Ronde Journal of Pathology Informatics 8 (1), 39, 2017 | 19 | 2017 |
| Localizing and extracting filament distributions from microscopy images S Basu, C Liu, GK Rohde Journal of microscopy 258 (1), 13-23, 2015 | 17 | 2015 |
| Classify epithelium‐stroma in histopathological images based on deep transferable network X Yu, H Zheng, C Liu, Y Huang, X Ding Journal of microscopy 271 (2), 164-173, 2018 | 16 | 2018 |
| Predictive nuclear chromatin characteristics of melanoma and dysplastic nevi MG Hanna, C Liu, GK Rohde, R Singh Journal of Pathology Informatics 8 (1), 15, 2017 | 10 | 2017 |
| Multimodal neural radiance field H Zhu, Y Sun, C Liu, L Xia, J Luo, N Qiao, R Nevatia, CH Kuo 2023 IEEE International Conference on Robotics and Automation (ICRA), 9393-9399, 2023 | 8 | 2023 |
| A supervised learning framework for pancreatic islet segmentation with multi‐scale color‐texture features and rolling guidance filters Y Huang, C Liu, JF Eisses, SZ Husain, GK Rohde Cytometry Part A 89 (10), 893-902, 2016 | 6 | 2016 |
| Extraction of individual filaments from 2D confocal microscopy images of flat cells S Basu, C Liu, GK Rohde IEEE/ACM transactions on computational biology and bioinformatics 12 (3 …, 2014 | 6 | 2014 |
| Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning Y Huang, H Zheng, C Liu, G Rohde, D Zeng, J Wang, X Ding 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 5 | 2017 |
| Hierarchical feature extraction for nuclear morphometry-based cancer diagnosis C Liu, Y Huang, L Han, JA Ozolek, GK Rohde Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 3 | 2016 |
| GenRC: Generative 3D room completion from sparse image collections MF Li, YF Ku, HX Yen, C Liu, YL Liu, A Chen, CH Kuo, M Sun | | 2024 |
| Nuclear Morphometry based Pattern Recognition in Pathology C Liu Carnegie Mellon University, 2017 | | 2017 |
Gustavo Kunde RohdeUniversity of VirginiaVerified email at virginia.edu
