Year |
Citation |
Score |
2020 |
Doan M, Sebastian JA, Caicedo JC, Siegert S, Roch A, Turner TR, Mykhailova O, Pinto RN, McQuin C, Goodman A, Parsons MJ, Wolkenhauer O, Hennig H, Singh S, Wilson A, et al. Objective assessment of stored blood quality by deep learning. Proceedings of the National Academy of Sciences of the United States of America. PMID 32839303 DOI: 10.1073/Pnas.2001227117 |
0.72 |
|
2020 |
Doan M, Case M, Masic D, Hennig H, McQuin C, Caicedo J, Singh S, Goodman A, Wolkenhauer O, Summers HD, Jamieson D, Delft FV, Filby A, Carpenter AE, Rees P, et al. Label-Free Leukemia Monitoring by Computer Vision. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 32091180 DOI: 10.1002/Cyto.A.23987 |
0.729 |
|
2019 |
Nassar M, Doan M, Filby A, Wolkenhauer O, Fogg DK, Piasecka J, Thornton CA, Carpenter AE, Summers HD, Rees P, Hennig H. Label-Free Identification of White Blood Cells Using Machine Learning. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 31081599 DOI: 10.1002/Cyto.A.23794 |
0.746 |
|
2018 |
Doan M, Vorobjev I, Rees P, Filby A, Wolkenhauer O, Goldfeld AE, Lieberman J, Barteneva N, Carpenter AE, Hennig H. Diagnostic Potential of Imaging Flow Cytometry. Trends in Biotechnology. PMID 29395345 DOI: 10.1016/J.Tibtech.2017.12.008 |
0.739 |
|
2017 |
Caicedo JC, Cooper S, Heigwer F, Warchal S, Qiu P, Molnar C, Vasilevich AS, Barry JD, Bansal HS, Kraus O, Wawer M, Paavolainen L, Herrmann MD, Rohban M, Hung J, ... Hennig H, et al. Data-analysis strategies for image-based cell profiling. Nature Methods. 14: 849-863. PMID 28858338 DOI: 10.1038/Nmeth.4397 |
0.699 |
|
2017 |
Doan M, Case M, Mašić D, Hennig H, McQuin C, Goodman A, Caicedo J, Wolkenhauer O, Summers H, Carpenter AE, Filby A, Rees P, Irving J. Label-Free Analyses of Minimal Residual Disease in ALL Using Deep Learning and Imaging Flow Cytometry Blood. 130: 1437-1437. DOI: 10.1182/Blood.V130.Suppl_1.1437.1437 |
0.764 |
|
2017 |
Piasecka J, Hennig H, Theis FJ, Rees P, Summers HD, Thornton CA. Label Free Identification of Peripheral Blood Eosinophils Using High-Throughput Imaging Flow Cytometry Journal of Allergy and Clinical Immunology. 139: AB163. DOI: 10.1016/J.Jaci.2016.12.537 |
0.454 |
|
2016 |
Hennig H, Rees P, Blasi T, Kamentsky L, Hung J, Dao D, Carpenter AE, Filby A. An open-source solution for advanced imaging flow cytometry data analysis using machine learning. Methods (San Diego, Calif.). PMID 27594698 DOI: 10.1016/J.Ymeth.2016.08.018 |
0.674 |
|
2016 |
Blasi T, Hennig H, Summers HD, Theis FJ, Cerveira J, Patterson JO, Davies D, Filby A, Carpenter AE, Rees P. Label-free cell cycle analysis for high-throughput imaging flow cytometry. Nature Communications. 7: 10256. PMID 26739115 DOI: 10.1038/Ncomms10256 |
0.663 |
|
2015 |
Jeong YM, Duanting Z, Hennig H, Samanta A, Agrawalla BK, Bray MA, Carpenter AE, Chang YT. CDy6, a photostable probe for long-term real-time visualization of mitosis and proliferating cells. Chemistry & Biology. 22: 299-307. PMID 25601075 DOI: 10.1016/J.Chembiol.2014.11.018 |
0.557 |
|
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