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Kenneth W. Dunn
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2020 – today
- 2024
- [c25]Liming Wu, Alain Chen, Paul Salama, Kenneth W. Dunn, Seth Winfree, Edward J. Delp:
A Quantitative Metric of Confidence for Segmentation of Nuclei in Large Spatially Variable Image Volumes. MMSP 2024: 1-6 - 2023
- [c24]Liming Wu, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three-Dimensional Nuclei Synthesis for Fluorescence Microscopy Image Analysis. ISBI 2023: 1-5 - 2022
- [c23]Liming Wu, Alain Chen, Paul Salama
, Kenneth W. Dunn, Edward J. Delp:
An Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation. CVPR Workshops 2022: 1883-1893 - [c22]Liming Wu, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
3D Centroidnet: Nuclei Centroid Detection with Vector Flow Voting. ICIP 2022: 651-655 - 2021
- [c21]Liming Wu
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images. CVPR Workshops 2021: 3755-3765 - [c20]Alain Chen, Liming Wu
Three Dimensional Synthetic Non-Ellipsoidal Nuclei Volume Generation Using Bézier Curves. ISBI 2021: 961-965 - [i7]Varun Mannam, Yide Zhang, Xiaotong Yuan, Takashi Hato, Pierre C. Dagher, Evan L. Nichols, Cody J. Smith, Kenneth W. Dunn, Scott S. Howard:
Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM). CoRR abs/2103.05448 (2021) - [i6]Liming Wu, Shuo Han, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images. CoRR abs/2106.15753 (2021) - [i5]Chimdimma Noelyn Onah, Richard Allmendinger
Towards a fairer reimbursement system for burn patients using cost-sensitive classification. CoRR abs/2107.00531 (2021) - 2020
- [c19]Shuo Han, Soonam Lee
Three Dimensional Nuclei Segmentation and Classification of Fluorescence Microscopy Images. ISBI 2020: 1-5
2010 – 2019
- 2019
- [c18]David Joon Ho
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images. BHI 2019: 1-4 - [c17]Chimdimma Noelyn Onah
A Clustering-Based Patient Grouper for Burn Care. IDEAL (2) 2019: 123-131 - [c16]Soonam Lee
Three Dimensional Blind Image Deconvolution for Fluorescence Microscopy using Generative Adversarial Networks. ISBI 2019: 538-542 - [c15]Shuo Han, Soonam Lee
Nuclei counting in microscopy images with three dimensional generative adversarial networks. Image Processing 2019: 109492Y - [i4]Soonam Lee, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks. CoRR abs/1904.09974 (2019) - [i3]David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images. CoRR abs/1909.05992 (2019) - 2018
- [c14]Soonam Lee
Tubule Segmentation of Fluorescence Microscopy Images Based on Convolutional Neural Networks With Inhomogeneity Correction. Computational Imaging 2018 - [c13]Chichen Fu, Soonam Lee
Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation. CVPR Workshops 2018: 2221-2229 - [c12]David Joon Ho
Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networks. ISBI 2018: 418-422 - [i2]Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks. CoRR abs/1801.07198 (2018) - [i1]Soonam Lee, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction. CoRR abs/1802.03542 (2018) - 2017
- [c11]David Joon Ho
Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks. CVPR Workshops 2017: 834-842 - [c10]Chichen Fu, David Joon Ho
Nuclei segmentation of fluorescence microscopy images using convolutional neural networks. ISBI 2017: 704-708 - [c9]Soonam Lee
Segmentation of fluorescence microscopy images using three dimensional active contours with inhomogeneity correction. ISBI 2017: 709-713 - [c8]David Joon Ho
Boundary segmentation for fluorescence microscopy using steerable filters. Image Processing 2017: 101330E - 2016
- [c7]Chichen Fu, Neeraj Gadgil, Khalid K. Tahboub, Paul Salama
Four Dimensional Image Registration for Intravital Microscopy. CVPR Workshops 2016: 1390-1398 - [c6]Neeraj J. Gadgil, Paul Salama
Jelly filling segmentation of fluorescence microscopy images containing incomplete labeling. ISBI 2016: 531-535 - [c5]Neeraj J. Gadgil, Paul Salama
Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process. SSIAI 2016: 37-40 - 2015
- [c4]Soonam Lee
Boundary fitting based segmentation of fluorescence microscopy images. IMAWM 2015: 940805 - 2013
- [c3]Kevin S. Lorenz
Three dimensional segmentation of fluorescence microscopy images using active surfaces. ICIP 2013: 1153-1157 - 2012
- [c2]Kevin S. Lorenz
A multi-resolution approach to non-rigid registration of microscopy images. ISBI 2012: 198-201 - 2011
- [c1]Kevin S. Lorenz
Non-rigid registration of multiphoton microscopy images using B-splines. Image Processing 2011: 796221
Coauthor Index
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