Kevin W. Eliceiri
Orcid: 0000-0001-8678-670XAffiliations:
- University of Wisconsin at Madison, Laboratory for Optical and Computational Instrumentation, WI, USA
- Morgridge Institute for Research, Madison, WI, USA
According to our database1,
Kevin W. Eliceiri
authored at least 30 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
2023
Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation.
Medical Image Anal., December, 2023
Frontiers Bioinform., May, 2023
2022
A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data.
Frontiers Neuroinformatics, 2022
Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration.
Frontiers Bioinform., 2022
2021
Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization.
Medical Image Anal., 2021
F1000Research, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Frontiers Comput. Sci., 2020
2019
ACM Trans. Graph., 2019
IEEE Trans. Image Process., 2019
Shedding Light: Integrating Bioimaging Technologies into the Design of an Interactive Museum Exhibit.
Proceedings of the 2019 on Designing Interactive Systems Conference, DIS 2019, San Diego, 2019
2018
Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach.
IEEE Trans. Image Process., 2018
Neighborhood regularized image superresolution for applications to microscopic imaging.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
BMC Bioinform., 2017
ImageJ-MATLAB: a bidirectional framework for scientific image analysis interoperability.
Bioinform., 2017
Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.
Bioinform., 2017
2016
BMC Bioinform., 2016
2015
2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2011
Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software.
Bioinform., 2011
2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009