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Kevin W. Eliceiri
Person information
- affiliation: University of Wisconsin at Madison, Laboratory for Optical and Computational Instrumentation, WI, USA
- affiliation: Morgridge Institute for Research, Madison, WI, USA
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2020 – today
- 2024
- [i6]Gabriel J. Selzer, Curtis T. Rueden, Mark C. Hiner, Edward L. Evans, David Kolb, Marcel Wiedenmann, Christian Birkhold, Tim-Oliver Buchholz, Stefan Helfrich, Brian Northan, Alison E. Walter, Johannes E. Schindelin, Tobias Pietzsch, Stephan Saalfeld, Michael R. Berthold, Kevin W. Eliceiri:
SciJava Ops: An Improved Algorithms Framework for Fiji and Beyond. CoRR abs/2405.12385 (2024) - 2023
- [j20]Wei Ouyang, Kevin W. Eliceiri, Beth A. Cimini
:
Moving beyond the desktop: prospects for practical bioimage analysis via the web. Frontiers Bioinform. 3 (2023) - [j19]Kevin K. D. Tan, Mark A. Tsuchida, Jenu Varghese Chacko, Niklas A. Gahm, Kevin W. Eliceiri:
Real-time open-source FLIM analysis. Frontiers Bioinform. 3 (2023) - [j18]Hyojoon Park
Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation. Medical Image Anal. 90: 102961 (2023) - 2022
- [j17]Anjalie Schlaeppi
Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration. Frontiers Bioinform. 2 (2022) - [j16]Lopamudra Mukherjee, Abdul Kader Sagar, Jonathan N. Ouellette, Jyoti J. Watters, Kevin W. Eliceiri:
A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data. Frontiers Neuroinformatics 16 (2022) - 2021
- [j15]Bin Li
Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization. Medical Image Anal. 68: 101938 (2021) - [j14]Jenu Varghese Chacko, Han Nim Lee
Hyperdimensional Imaging Contrast Using an Optical Fiber. Sensors 21(4): 1201 (2021) - [c6]Bin Li, Yin Li, Kevin W. Eliceiri:
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning. CVPR 2021: 14318-14328 - [c5]Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing:
MAT: Processing In-Memory Acceleration for Long-Sequence Attention. DAC 2021: 25-30 - [i5]Florian Levet
Developing open-source software for bioimage analysis: opportunities and challenges. F1000Research 10: 302 (2021) - 2020
- [j13]Christian Dietz, Curtis T. Rueden
Integration of the ImageJ Ecosystem in KNIME Analytics Platform. Frontiers Comput. Sci. 2: 8 (2020) - [i4]Bin Li, Kevin W. Eliceiri:
Dual-stream Maximum Self-attention Multi-instance Learning. CoRR abs/2006.05538 (2020) - [i3]Bin Li, Yin Li, Kevin W. Eliceiri:
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning. CoRR abs/2011.08939 (2020)
2010 – 2019
- 2019
- [j12]Shulei Wang
Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy. IEEE Trans. Image Process. 28(9): 4471-4485 (2019) - [j11]Jongho Lee, Jenu Varghese Chacko, Bing Dai, Syed Azer Reza, Abdul Kader Sagar
Coding Scheme Optimization for Fast Fluorescence Lifetime Imaging. ACM Trans. Graph. 38(3): 26:1-26:16 (2019) - [c4]Joyce Ma, Eyal Shahar, Kevin W. Eliceiri, Guneet Mehta, Kristina Yu:
Shedding Light: Integrating Bioimaging Technologies into the Design of an Interactive Museum Exhibit. Conference on Designing Interactive Systems 2019: 837-848 - 2018
- [j10]Kyle I. S. Harrington
FunImageJ: a Lisp framework for scientific image processing. Bioinform. 34(5): 899-900 (2018) - [j9]Shulei Wang
Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach. IEEE Trans. Image Process. 27(2): 622-636 (2018) - [c3]Lopamudra Mukherjee, Adib Keikhosravi, Kevin W. Eliceiri:
Neighborhood regularized image superresolution for applications to microscopic imaging. ISBI 2018: 453-457 - 2017
- [j8]Mark C. Hiner, Curtis T. Rueden
ImageJ-MATLAB: a bidirectional framework for scientific image analysis interoperability. Bioinform. 33(4): 629-630 (2017) - [j7]Ignacio Arganda-Carreras
Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. Bioinform. 33(15): 2424-2426 (2017) - [j6]Curtis T. Rueden
ImageJ2: ImageJ for the next generation of scientific image data. BMC Bioinform. 18(1): 529:1-529:26 (2017) - [i2]Curtis T. Rueden, Johannes E. Schindelin, Mark C. Hiner, Barry E. DeZonia, Alison E. Walter, Kevin W. Eliceiri:
ImageJ2: ImageJ for the next generation of scientific image data. CoRR abs/1701.05940 (2017) - 2016
- [j5]Mark C. Hiner, Curtis Rueden
SCIFIO: an extensible framework to support scientific image formats. BMC Bioinform. 17: 521:1-521:5 (2016) - [i1]Aprameya Mysore, Andreas Velten, Kevin W. Eliceiri
Sonification of hyperspectral fluorescence microscopy datasets. F1000Research 5: 2572 (2016) - 2015
- [j4]Ramin Pashaie, Ryan Baumgartner, Thomas J. Richner
Closed-Loop Optogenetic Brain Interface. IEEE Trans. Biomed. Eng. 62(10): 2327-2337 (2015) - 2014
- [c2]Sarah K. Brodnick, Mohammed R. Hayat, Sahil Kapur, Thomas J. Richner, Michael W. Nonte, Kevin W. Eliceiri
A chronic window imaging device for the investigation of in vivo peripheral nerves. EMBC 2014: 1985-1988 - 2011
- [j3]Lee Kamentsky, Thouis R. Jones
Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software. Bioinform. 27(8): 1179-1180 (2011)
2000 – 2009
- 2009
- [j2]Matthew T. Dougherty, Michael J. Folk, Erez Zadok, Herbert J. Bernstein, Frances C. Bernstein
Unifying biological image formats with HDF5. Commun. ACM 52(10): 42-47 (2009) - [j1]Matthew T. Dougherty, Michael J. Folk, Erez Zadok, Herbert J. Bernstein, Frances C. Bernstein
Unifying Biological Image Formats with HDF5. ACM Queue 7(9): 20 (2009) - [c1]Jared Doot, Kevin W. Eliceiri
Image Reconstruction of Multiphoton Microscopy Data. ISBI 2009: 803-806
Coauthor Index
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last updated on 2024-10-31 20:11 CET by the dblp team
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