Amey Chaware

According to our database, Amey Chaware authored at least 4 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• 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

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

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