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Amey Chaware
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Year
Learned sensing: jointly optimized microscope hardware for accurate image classification
A Muthumbi, A Chaware, K Kim, KC Zhou, PC Konda, R Chen, ...
Biomedical optics express 10 (12), 6351-6369, 2019
562019
Physics-enhanced machine learning for virtual fluorescence microscopy
CL Cooke, F Kong, A Chaware, KC Zhou, K Kim, R Xu, DM Ando, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
142021
Increasing a microscope’s effective field of view via overlapped imaging and machine learning
X Yao, V Pathak, H Xi, A Chaware, C Cooke, K Kim, S Xu, Y Li, T Dunn, ...
Optics Express 30 (2), 1745-1761, 2022
102022
Towards an intelligent microscope: adaptively learned illumination for optimal sample classification
A Chaware, CL Cooke, K Kim, R Horstmeyer
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
92020
Digital staining in optical microscopy using deep learning-a review
L Kreiss, S Jiang, X Li, S Xu, KC Zhou, KC Lee, A Mühlberg, K Kim, ...
PhotoniX 4 (1), 34, 2023
82023
Imaging across multiple spatial scales with the multi-camera array microscope
M Harfouche, K Kim, KC Zhou, PC Konda, S Sharma, EE Thomson, ...
Optica 10 (4), 471-480, 2023
72023
Tensorial tomographic Fourier Ptychography with applications to muscle tissue imaging
S Xu, X Yang, P Ritter, X Dai, K Chul Lee, L Kreiss, KC Zhou, K Kim, ...
Advanced Photonics 6 (2), 026004-026004, 2024
22024
A multiple instance learning approach for detecting COVID-19 in peripheral blood smears
CL Cooke, K Kim, S Xu, A Chaware, X Yao, X Yang, J Neff, P Pittman, ...
PLOS Digital Health 1 (8), e0000078, 2022
22022
Beneath the Surface: Revealing Deep-Tissue Blood Flow in Human Subjects with Massively Parallelized Diffuse Correlation Spectroscopy
L Kreiss, M Wu, M Wayne, S Xu, P McKee, D Dwamena, K Kim, KC Lee, ...
arXiv preprint arXiv:2403.03968, 2024
12024
Multi-scale gigapixel microscopy using a multi-camera array microscope
M Harfouche, K Kim, KC Zhou, PC Konda, S Sharma, EE Thomson, ...
arXiv e-prints, arXiv: 2212.00027, 2022
12022
Hardware domain adaptation for biomedical imaging
A Chaware, K Kim, C Cook, C Glass, R Horstmeyer
Computational Optical Imaging and Artificial Intelligence in Biomedical …, 2024
2024
Innovations in signal/image processing and data analysis in optical microscopy
L Kreiss, KC Zhou, CB Cook, S Xu, A Chaware, R Horstmeyer
Biophotonics and Biosensing, 349-389, 2024
2024
Anisotropic intensity diffraction tomography
S Xu, X Dai, X Yang, KC Lee, L Kreiss, KC Zhou, K Kim, A Chaware, ...
Computational Optical Sensing and Imaging, CM3B. 2, 2023
2023
Intelligent automated imaging system
P Bokadia, A Chaware, R Horstmeyer, K Kim, P Konda
US Patent App. 17/830,058, 2022
2022
A multiple instance learning approach for detecting COVID-19 in peripheral blood smears. PLOS Digit Health 1 (8): e0000078
CL Cooke, K Kim, S Xu, A Chaware, X Yao, X Yang
2022
Deep Optical Blood Analysis: COVID-19 Detection as a Case Study in Next Generation Blood Screening
CL Cooke, K Kim, S Xu, A Chaware, X Yao, X Yang, J Neff, P Pittman, ...
medRxiv, 2021.07. 18.21259553, 2021
2021
Deep Optical Blood Analysis: COVID-19 Detection as a Case Study in Next Generation Blood Screening (preprint)
CL Cooke, K Kim, S Xu, A Chaware, X Yao, X Yang, J Neff, P Pittman, ...
2021
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