Amey Chaware

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Limited Field Of View

Fluorescence Microscopy

Illumination Invariant

Camera Placement

Top Venues

Publications

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 (2023)
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 (2021)
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)
Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer
Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification. ICASSP (2020)
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 (2020)
Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer
Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification. CoRR (2019)