Kanghyun Kim

According to our database, Kanghyun Kim authored at least 11 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Digital staining in optical microscopy using deep learning - a review.

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

CoRR, 2023

A Reachability Tree-Based Algorithm for Robot Task and Motion Planning.

Kanghyun Kim, Daehyung Park, Min Jun Kim

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Multi-modal imaging using a cascaded microscope design.

Xi Yang, Mark Harfouche, Kevin C. Zhou, Lucas Kreiß, Shiqi Xu, Kanghyun Kim, Roarke Horstmeyer

CoRR, 2022

Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding.

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

CoRR, 2022

Tensorial tomographic differential phase-contrast microscopy.

Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer

Proceedings of the IEEE International Conference on Computational Photography, 2022

2021

Increasing a microscope's effective field of view via overlapped imaging and machine learning.

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

CoRR, 2021

Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Multi-element microscope optimization by a learned sensing network with composite physical layers.

Kanghyun Kim, Pavan Chandra Konda, Colin L. V. Cooke, Ron Appel, Roarke Horstmeyer

CoRR, 2020

Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification.

Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Optimization of Semi-Active Pneumatic Actuators for an Exoskeleton Robot for Running.

Yoosuk Kim, Cheolmin Kwon, Huiseok Moon, Kanghyun Kim, Jungsoo Cho, Kyoungchul Kong

Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

2013

Observer-based guaranteed cost control for lateral motion of a strip in hot rolling process.

Kanghyun Kim, Sangchul Won

Proceedings of the 10th IEEE International Conference on Control and Automation, 2013