Kevin W. Eliceiri

Orcid: 0000-0001-8678-670X

Affiliations:
  • 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 28 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

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

Moving beyond the desktop: prospects for practical bioimage analysis via the web.
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
Hyperdimensional Imaging Contrast Using an Optical Fiber.
Sensors, 2021

Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization.
Medical Image Anal., 2021

Developing open-source software for bioimage analysis: opportunities and challenges.
F1000Research, 2021

MAT: Processing In-Memory Acceleration for Long-Sequence Attention.
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
Integration of the ImageJ Ecosystem in KNIME Analytics Platform.
Frontiers Comput. Sci., 2020

Dual-stream Maximum Self-attention Multi-instance Learning.
CoRR, 2020

2019
Coding Scheme Optimization for Fast Fluorescence Lifetime Imaging.
ACM Trans. Graph., 2019

Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy.
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

FunImageJ: a Lisp framework for scientific image processing.
Bioinform., 2018

Neighborhood regularized image superresolution for applications to microscopic imaging.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
ImageJ2: ImageJ for the next generation of scientific image data.
CoRR, 2017

ImageJ2: ImageJ for the next generation of scientific image data.
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
Sonification of hyperspectral fluorescence microscopy datasets.
F1000Research, 2016

SCIFIO: an extensible framework to support scientific image formats.
BMC Bioinform., 2016

2015
Closed-Loop Optogenetic Brain Interface.
IEEE Trans. Biomed. Eng., 2015

2014
A chronic window imaging device for the investigation of in vivo peripheral nerves.
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
Unifying biological image formats with HDF5.
Commun. ACM, 2009

Image Reconstruction of Multiphoton Microscopy Data.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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