| CellProfiler 3.0: Next-generation image processing for biology C McQuin, A Goodman, V Chernyshev, L Kamentsky, BA Cimini, ... PLoS biology 16 (7), e2005970, 2018 | 1841 | 2018 |
| CellProfiler 4: improvements in speed, utility and usability DR Stirling, MJ Swain-Bowden, AM Lucas, AE Carpenter, BA Cimini, ... BMC bioinformatics 22, 1-11, 2021 | 928 | 2021 |
| Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl JC Caicedo, A Goodman, KW Karhohs, BA Cimini, J Ackerman, ... Nature methods 16 (12), 1247-1253, 2019 | 618 | 2019 |
| Evaluation of deep learning strategies for nucleus segmentation in fluorescence images JC Caicedo, J Roth, A Goodman, T Becker, KW Karhohs, M Broisin, ... Cytometry Part A 95 (9), 952-965, 2019 | 305 | 2019 |
| nucleAIzer: a parameter-free deep learning framework for nucleus segmentation using image style transfer R Hollandi, A Szkalisity, T Toth, E Tasnadi, C Molnar, B Mathe, I Grexa, ... Cell systems 10 (5), 453-458. e6, 2020 | 191 | 2020 |
| Weakly supervised learning of single-cell feature embeddings JC Caicedo, C McQuin, A Goodman, S Singh, AE Carpenter Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 77 | 2018 |
| Objective assessment of stored blood quality by deep learning M Doan, JA Sebastian, JC Caicedo, S Siegert, A Roch, TR Turner, ... Proceedings of the National Academy of Sciences 117 (35), 21381-21390, 2020 | 70 | 2020 |
| Keras R-CNN: library for cell detection in biological images using deep neural networks J Hung, A Goodman, D Ravel, SCP Lopes, GW Rangel, OA Nery, ... BMC bioinformatics 21, 1-7, 2020 | 62 | 2020 |
| Label‐free leukemia monitoring by computer vision M Doan, M Case, D Masic, H Hennig, C McQuin, J Caicedo, S Singh, ... Cytometry Part A 97 (4), 407-414, 2020 | 56 | 2020 |
| Learning representations for image-based profiling of perturbations N Moshkov, M Bornholdt, S Benoit, M Smith, C McQuin, A Goodman, ... Nature communications 15 (1), 1594, 2024 | 46 | 2024 |
| A deep learning framework for nucleus segmentation using image style transfer R Hollandi, A Szkalisity, T Toth, E Tasnadi, C Molnar, B Mathe, I Grexa, ... Biorxiv, 580605, 2019 | 46 | 2019 |
| The global covid-19 student survey: First wave results DA Jaeger, J Arellano-Bover, K Karbownik, M Martínez-Matute, ... | 38 | 2021 |
| Scientific Community Image Forum: A discussion forum for scientific image software CT Rueden, J Ackerman, ET Arena, J Eglinger, BA Cimini, A Goodman, ... PLoS biology 17 (6), e3000340, 2019 | 29 | 2019 |
| Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry M Doan, C Barnes, C McQuin, JC Caicedo, A Goodman, AE Carpenter, ... Nature protocols 16 (7), 3572-3595, 2021 | 28 | 2021 |
| DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images V Kulikov, SM Guo, M Stone, A Goodman, A Carpenter, M Bathe, ... PLoS computational biology 15 (5), e1007012, 2019 | 19 | 2019 |
| Label-free assessment of red blood cell storage lesions by deep learning M Doan, JA Sebastian, RN Pinto, C McQuin, A Goodman, O Wolkenhauer, ... BioRxiv, 256180, 2018 | 11 | 2018 |
| High-throughput, automated image processing for large-scale fluorescence microscopy experiments A Goodman, AE Carpenter Microscopy and Microanalysis 22 (S3), 538-539, 2016 | 9 | 2016 |
| Reproducible image-based profiling with Pycytominer E Serrano, SN Chandrasekaran, D Bunten, KI Brewer, J Tomkinson, ... ArXiv, 2023 | 8 | 2023 |
| Publisher correction: Nucleus segmentation across imaging experiments: The 2018 data science bowl JC Caicedo, A Goodman, KW Karhohs, BA Cimini, J Ackerman, ... Nature Methods 17 (2), 241, 2020 | 6 | 2020 |
| Label-free analyses of minimal residual disease in ALL using deep learning and imaging flow cytometry M Doan, M Case, D Mašić, H Hennig, C McQuin, A Goodman, J Caicedo, ... Blood 130, 1437, 2017 | 5 | 2017 |
Anne E. CarpenterInstitute Scientist and Imaging Platform Director, Broad Institute of Harvard and MIT在 broadinstitute.org 的电子邮件经过验证
