| Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models BA Plummer, L Wang, CM Cervantes, JC Caicedo, J Hockenmaier, ... Proceedings of the IEEE international conference on computer vision, 2641-2649, 2015 | 2918 | 2015 |
| 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 | 2202 | 2018 |
| 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 | 910 | 2019 |
| Data-analysis strategies for image-based cell profiling JC Caicedo, S Cooper, F Heigwer, S Warchal, P Qiu, C Molnar, ... Nature methods 14 (9), 849-863, 2017 | 839 | 2017 |
| Active object localization with deep reinforcement learning JC Caicedo, S Lazebnik Proceedings of the IEEE international conference on computer vision, 2488-2496, 2015 | 612 | 2015 |
| 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 | 364 | 2019 |
| Fine-tuning Deep Convolutional Networks for Plant Recognition. AK Reyes, JC Caicedo, JE Camargo CLEF (Working Notes) 1391 (9), 2015 | 277 | 2015 |
| 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 | 258 | 2020 |
| Histopathology image classification using bag of features and kernel functions JC Caicedo, A Cruz, FA Gonzalez Conference on Artificial Intelligence in Medicine in Europe, 126-135, 2009 | 257 | 2009 |
| Applications in image-based profiling of perturbations JC Caicedo, S Singh, AE Carpenter Current Opinion in Biotechnology 39, 134–142, 2016 | 193 | 2016 |
| Visual pattern mining in histology image collections using bag of features A Cruz-Roa, JC Caicedo, FA González Artificial intelligence in medicine 52 (2), 91-106, 2011 | 190 | 2011 |
| Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations SN Chandrasekaran, BA Cimini, A Goodale, L Miller, M Kost-Alimova, ... Nature Methods 21 (6), 1114-1121, 2024 | 161 | 2024 |
| Morphology and gene expression profiling provide complementary information for mapping cell state GP Way, T Natoli, A Adeboye, L Litichevskiy, A Yang, X Lu, JC Caicedo, ... Cell systems 13 (11), 911-923. e9, 2022 | 142 | 2022 |
| 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 | 127 | 2024 |
| Predicting compound activity from phenotypic profiles and chemical structures N Moshkov, T Becker, K Yang, P Horvath, V Dancik, BK Wagner, ... Nature Communications 14 (1), 1967, 2023 | 114 | 2023 |
| Image-based cell phenotyping with deep learning A Pratapa, M Doron, JC Caicedo Current opinion in chemical biology 65, 9-17, 2021 | 114 | 2021 |
| High-dimensional gene expression and morphology profiles of cells across 28,000 genetic and chemical perturbations M Haghighi, JC Caicedo, BA Cimini, AE Carpenter, S Singh Nature methods 19 (12), 1550-1557, 2022 | 107 | 2022 |
| Automating morphological profiling with generic deep convolutional networks N Pawlowski, JC Caicedo, S Singh, AE Carpenter, A Storkey BioRxiv, 085118, 2016 | 106 | 2016 |
| 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 | 105 | 2020 |
| Weakly supervised learning of single-cell feature embeddings JC Caicedo, C McQuin, A Goodman, S Singh, AE Carpenter Proceedings of the IEEE International Conference on Computer Vision (CVPR …, 2018 | 103 | 2018 |
