Kanghyun Kim - RankMe

17 papers A* 2B 1Misc 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Computational 3D topographic microscopy from terabytes of data per sample. J. Big Data 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
2024	J	`jnl`	SPLIT: SE(3)-diffusion via Local Geometry-based Score Prediction for 3D Scene-to-Pose-Set Matching Problems. CoRR Kanghyun Kim, Min Jun Kim
2023	A*	`conf`	A Reachability Tree-Based Algorithm for Robot Task and Motion Planning. ICRA Kanghyun Kim, Daehyung Park, Min Jun Kim
2023	J	`jnl`	A Reachability Tree-Based Algorithm for Robot Task and Motion Planning. CoRR Kanghyun Kim, Daehyung Park, Min Jun Kim
2023	J	`jnl`	Digital staining in optical microscopy using deep learning - a review. CoRR 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
2022	J	`jnl`	Multi-modal imaging using a cascaded microscope design. CoRR Xi Yang, Mark Harfouche, Kevin C. Zhou, Lucas Kreiß, Shiqi Xu, Kanghyun Kim, Roarke Horstmeyer
2022	B	`conf`	Tensorial tomographic differential phase-contrast microscopy. ICCP Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer
2022	J	`jnl`	Tensorial tomographic differential phase-contrast microscopy. CoRR Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer
2022	J	`jnl`	Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding. CoRR 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
2021	J	`jnl`	Increasing a microscope's effective field of view via overlapped imaging and machine learning. CoRR 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
2021	A*	`conf`	Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. ICCV 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
2020	J	`jnl`	Multi-element microscope optimization by a learned sensing network with composite physical layers. CoRR Kanghyun Kim, Pavan Chandra Konda, Colin L. V. Cooke, Ron Appel, Roarke Horstmeyer
2020	J	`jnl`	Physics-enhanced machine learning for virtual fluorescence microscopy. CoRR 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
2020	Misc	`conf`	Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification. ICASSP Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer
2019	J	`jnl`	Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification. CoRR Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer
2018	—	`conf`	Optimization of Semi-Active Pneumatic Actuators for an Exoskeleton Robot for Running. UR Yoosuk Kim, Cheolmin Kwon, Huiseok Moon, Kanghyun Kim, Jungsoo Cho, Kyoungchul Kong
2013	—	`conf`	Observer-based guaranteed cost control for lateral motion of a strip in hot rolling process. ICCA Kanghyun Kim, Sangchul Won