| 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 | 1075 | 2018 |
| 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 | 955 | 2015 |
| Active object localization with deep reinforcement learning JC Caicedo, S Lazebnik Proceedings of the IEEE international conference on computer vision, 2488-2496, 2015 | 448 | 2015 |
| 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 | 380 | 2017 |
| 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 | 248 | 2019 |
| 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 | 228 | 2009 |
| Fine-tuning Deep Convolutional Networks for Plant Recognition. AK Reyes, JC Caicedo, JE Camargo CLEF (Working Notes) 1391, 467-475, 2015 | 194 | 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 | 186 | 2019 |
| 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 | 171 | 2011 |
| Applications in image-based profiling of perturbations JC Caicedo, S Singh, AE Carpenter Current Opinion in Biotechnology 39, 134–142, 2016 | 110 | 2016 |
| Content-based histopathology image retrieval using a kernel-based semantic annotation framework JC Caicedo, FA González, E Romero Journal of biomedical informatics 44 (4), 519-528, 2011 | 84 | 2011 |
| Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization JC Caicedo, J BenAbdallah, FA González, O Nasraoui Neurocomputing 76 (1), 50-60, 2012 | 81 | 2012 |
| 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 | 77 | 2020 |
| Collaborative personalization of image enhancement JC Caicedo, A Kapoor, SB Kang CVPR 2011, 249-256, 2011 | 55 | 2011 |
| Automating morphological profiling with generic deep convolutional networks N Pawlowski, JC Caicedo, S Singh, AE Carpenter, A Storkey BioRxiv, 085118, 2016 | 52 | 2016 |
| A semantic content-based retrieval method for histopathology images JC Caicedo, FA Gonzalez, E Romero Asia Information Retrieval Symposium, 51-60, 2008 | 46 | 2008 |
| 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 | 41 | 2018 |
| CytoGAN: generative modeling of cell images P Goldsborough, N Pawlowski, JC Caicedo, S Singh, AE Carpenter BioRxiv, 227645, 2017 | 39 | 2017 |
| Design of a medical image database with content-based retrieval capabilities JC Caicedo, FA Gonzalez, E Triana, E Romero Pacific-Rim Symposium on Image and Video Technology, 919-931, 2007 | 37* | 2007 |
| Combining low-level features for improved classification and retrieval of histology images. JC Caicedo, E Izquierdo Trans. Mass Data Anal. Images Signals 2 (1), 68-82, 2010 | 35 | 2010 |
