| 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 |
| Nanotopography regulates motor neuron differentiation of human pluripotent stem cells W Chen, S Han, W Qian, S Weng, H Yang, Y Sun, LG Villa-Diaz, ... Nanoscale 10 (7), 3556-3565, 2018 | 46 | 2018 |
| 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 |
| Nanoroughened adhesion-based capture of circulating tumor cells with heterogeneous expression and metastatic characteristics W Chen, SG Allen, AK Reka, W Qian, S Han, J Zhao, L Bao, ... BMC cancer 16, 1-12, 2016 | 35 | 2016 |
| 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 | 25 | 2019 |
| Biophysical phenotyping and modulation of ALDH+ inflammatory breast cancer stem‐like cells W Chen, SG Allen, W Qian, Z Peng, S Han, X Li, Y Sun, C Fournier, L Bao, ... Small 15 (5), 1802891, 2019 | 25 | 2019 |
| Three dimensional synthetic non-ellipsoidal nuclei volume generation using bezier curves A Chen, L Wu, S Han, P Salama, KW Dunn, EJ Delp 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 961-965, 2021 | 18 | 2021 |
| 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, 109492Y, 2019 | 17 | 2019 |
| Rcnn-slicenet: A slice and cluster approach for nuclei centroid detection in three-dimensional fluorescence microscopy images L Wu, S Han, A Chen, P Salama, KW Dunn, EJ Delp Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 11 | 2021 |
| 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 |
| 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 |
| 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 |
| Fluorescence Microscopy Images Segmentation and Analysis Using Machine Learning S Han Purdue University, 2020 | | 2020 |
Edward DelpPurdue UniversityVerified email at ecn.purdue.edu
