| 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 | 53 | 2019 |
| 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 | 13 | 2021 |
| 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 | 9 | 2022 |
| 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 | 9 | 2020 |
| 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 | 4 | 2023 |
| 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 | 4 | 2023 |
| 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 | 1 | 2024 |
| 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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 |
| 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 | | 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 |
Roarke HorstmeyerDuke University (Assistant Professor) / Ramona Optics (Scientific Director)Verified email at duke.edu
