| DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data KW Dunn, C Fu, DJ Ho, S Lee, S Han, P Salama, EJ Delp Scientific reports 9 (1), 18295, 2019 | 99 | 2019 |
| Three dimensional fluorescence microscopy image synthesis and segmentation C Fu, S Lee, D Joon Ho, S Han, P Salama, KW Dunn, EJ Delp Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 86 | 2018 |
| Single-view food portion estimation: Learning image-to-energy mappings using generative adversarial networks S Fang, Z Shao, R Mao, C Fu, EJ Delp, F Zhu, DA Kerr, CJ Boushey 2018 25th IEEE International Conference on Image Processing (ICIP), 251-255, 2018 | 58 | 2018 |
| Nuclei segmentation of fluorescence microscopy images using three dimensional convolutional neural networks D Joon Ho, C Fu, P Salama, KW Dunn, EJ Delp Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 56 | 2017 |
| Nuclei segmentation of fluorescence microscopy images using convolutional neural networks C Fu, DJ Ho, S Han, P Salama, KW Dunn, EJ Delp 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 38 | 2017 |
| Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networks DJ Ho, C Fu, P Salama, KW Dunn, EJ Delp 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 25 | 2018 |
| Nuclei counting in microscopy images with three dimensional generative adversarial networks S Han, S Lee, C Fu, P Salama, KW Dunn, EJ Delp Medical Imaging 2019: Image Processing 10949, 753-763, 2019 | 17 | 2019 |
| Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction S Lee, C Fu, P Salama, KW Dunn, EJ Delp arXiv preprint arXiv:1802.03542, 2018 | 15 | 2018 |
| Texture segmentation based video compression using convolutional neural networks C Fu, D Chen, EJ Delp, Z Liu, F Zhu arXiv preprint arXiv:1802.02992, 2018 | 13 | 2018 |
| Center-extraction-based three dimensional nuclei instance segmentation of fluorescence microscopy images DJ Ho, S Han, C Fu, P Salama, KW Dunn, EJ Delp 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 9 | 2019 |
| Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy images DJ Ho, D Mas Montserrat, C Fu, P Salama, KW Dunn, EJ Delp Journal of Medical Imaging 7 (4), 044003-044003, 2020 | 7 | 2020 |
| AV1 video coding using texture analysis with convolutional neural networks D Chen, C Fu, F Zhu arXiv preprint arXiv:1804.09291, 2018 | 5 | 2018 |
| Microscopy image registration, synthesis and segmentation C Fu Purdue University, 2019 | 2 | 2019 |
| DINAVID: A Distributed and Networked Image Analysis System for Volumetric Image Data S Han, A Chen, S Lee, C Fu, C Yang, L Wu, S Winfree, TM El-Achkar, ... bioRxiv, 2022.05. 11.491511, 2022 | | 2022 |
| Convolutional Neural Networks Based Texture Modeling For AV1 D Chen, C Fu, Z Liu, F Zhu arXiv preprint arXiv:1908.02875, 2019 | | 2019 |
| Four Dimensional Image Registration For Intravital Microscopy C Fu, N Gadgil, KK Tahboub, P Salama, KW Dunn, EJ Delp Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | | 2016 |
Edward DelpPurdue UniversityVerified email at ecn.purdue.edu
