| 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 | 97 | 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 | 85 | 2018 |
| Segmentation of fluorescence microscopy images using three dimensional active contours with inhomogeneity correction S Lee, P Salama, KW Dunn, EJ Delp 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 25 | 2017 |
| Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks S Lee, S Han, P Salama, KW Dunn, EJ Delp 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 24 | 2019 |
| 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 |
| Background subtraction using the factored 3-way restricted Boltzmann machines S Lee, D Kim arXiv preprint arXiv:1802.01522, 2018 | 13 | 2018 |
| Boundary fitting based segmentation of fluorescence microscopy images S Lee, P Salama, KW Dunn, EJ Delp III Imaging and Multimedia Analytics in a Web and Mobile World 2015 9408, 34-43, 2015 | 12 | 2015 |
| Three dimensional nuclei segmentation and classification of fluorescence microscopy images S Han, S Lee, A Chen, C Yang, P Salama, KW Dunn, EJ Delp 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-5, 2020 | 6 | 2020 |
| Technologies for classification using sparse coding in real time NK Jain, S Lee US Patent 10,282,641, 2019 | 5 | 2019 |
| Segmentation and deconvolution of fluorescence microscopy volumes S Lee 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 |
Edward DelpPurdue UniversityVerified email at ecn.purdue.edu
