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2020 – today
- 2024
[j1]Kevin C. Zhou, Mark Harfouche, Maxwell Zheng, Joakim Jönsson, Kyung Chul Lee, Kanghyun Kim, Ron Appel, Paul Reamey, Thomas Doman, Veton Saliu, Gregor Horstmeyer, Seung Ah Lee, Roarke Horstmeyer
:
Computational 3D topographic microscopy from terabytes of data per sample. J. Big Data 11(1): 62 (2024)- 2023
- [c6]Kanghyun Kim, Daehyung Park, Min Jun Kim:
A Reachability Tree-Based Algorithm for Robot Task and Motion Planning. ICRA 2023: 3750-3756 - [i9]Kanghyun Kim, Daehyung Park, Min Jun Kim:
A Reachability Tree-Based Algorithm for Robot Task and Motion Planning. CoRR abs/2303.03825 (2023) - [i8]Lucas Kreiss, Shaowei Jiang, Xiang Li, Shiqi Xu, Kevin C. Zhou, Alexander Mühlberg, Kyung Chul Lee, Kanghyun Kim, Amey Chaware, D. Michael Ando, Laura Barisoni, Seung Ah Lee, Guoan Zheng, Kyle Lafata, Oliver Friedrich, Roarke Horstmeyer:
Digital staining in optical microscopy using deep learning - a review. CoRR abs/2303.08140 (2023) - 2022
- [c5]Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer:
Tensorial tomographic differential phase-contrast microscopy. ICCP 2022: 1-11 - [i7]Shiqi Xu, Wenhui Liu, Xi Yang, Joakim Jönsson, Ruobing Qian, Paul McKee, Kanghyun Kim, Pavan Chandra Konda, Kevin C. Zhou, Lucas Kreiß, Haoqian Wang, Edouard Berrocal, Scott Huettel, Roarke Horstmeyer:
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding. CoRR abs/2204.01733 (2022) - [i6]Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer:
Tensorial tomographic differential phase-contrast microscopy. CoRR abs/2204.11397 (2022) - [i5]Xi Yang, Mark Harfouche, Kevin C. Zhou, Lucas Kreiß, Shiqi Xu, Kanghyun Kim, Roarke Horstmeyer:
Multi-modal imaging using a cascaded microscope design. CoRR abs/2208.08875 (2022) - 2021
- [c4]Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. ICCV 2021: 3783-3793 - [i4]Xing Yao, Vinayak Pathak, Haoran Xi, Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Shiqi Xu, Yuting Li, Timothy Dunn, Pavan Chandra Konda, Kevin C. Zhou, Roarke Horstmeyer:
Increasing a microscope's effective field of view via overlapped imaging and machine learning. CoRR abs/2110.04921 (2021) - 2020
- [c3]Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer:
Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification. ICASSP 2020: 9284-9288 - [i3]Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
Physics-enhanced machine learning for virtual fluorescence microscopy. CoRR abs/2004.04306 (2020) - [i2]Kanghyun Kim, Pavan Chandra Konda, Colin L. V. Cooke, Ron Appel, Roarke Horstmeyer:
Multi-element microscope optimization by a learned sensing network with composite physical layers. CoRR abs/2006.15404 (2020)
2010 – 2019
- 2019
- [i1]Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer:
Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification. CoRR abs/1910.10209 (2019) - 2018
- [c2]Yoosuk Kim, Cheolmin Kwon, Huiseok Moon, Kanghyun Kim, Jungsoo Cho, Kyoungchul Kong:
Optimization of Semi-Active Pneumatic Actuators for an Exoskeleton Robot for Running. UR 2018: 119-124 - 2013
- [c1]Kanghyun Kim, Sangchul Won:
Observer-based guaranteed cost control for lateral motion of a strip in hot rolling process. ICCA 2013: 1479-1484
Coauthor Index
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