| 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 | 704 | 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 | 660 | 2018 |
| Active object localization with deep reinforcement learning JC Caicedo, S Lazebnik Proceedings of the IEEE international conference on computer vision, 2488-2496, 2015 | 375 | 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 | 281 | 2017 |
| 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 | 211 | 2009 |
| 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 | 163 | 2011 |
| Fine-tuning Deep Convolutional Networks for Plant Recognition. AK Reyes, JC Caicedo, JE Camargo CLEF (Working Notes) 1391, 467-475, 2015 | 157 | 2015 |
| 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 | 134 | 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 | 128 | 2019 |
| Applications in image-based profiling of perturbations JC Caicedo, S Singh, AE Carpenter Current Opinion in Biotechnology 39, 134–142, 2016 | 94 | 2016 |
| 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 | 77 | 2012 |
| 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 | 75 | 2011 |
| Collaborative personalization of image enhancement JC Caicedo, A Kapoor, SB Kang CVPR 2011, 249-256, 2011 | 55 | 2011 |
| 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 | 42 | 2020 |
| A semantic content-based retrieval method for histopathology images JC Caicedo, FA Gonzalez, E Romero Asia Information Retrieval Symposium, 51-60, 2008 | 41 | 2008 |
| Automating morphological profiling with generic deep convolutional networks N Pawlowski, JC Caicedo, S Singh, AE Carpenter, A Storkey BioRxiv, 085118, 2016 | 39 | 2016 |
| 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 | 35* | 2007 |
| Combining visual features and text data for medical image retrieval using latent semantic kernels JC Caicedo, JG Moreno, EA Niño, FA González Proceedings of the international conference on Multimedia information …, 2010 | 34 | 2010 |
| 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 | 33 | 2010 |
| Content-based medical image retrieval using low-level visual features and modality identification JC Caicedo, FA Gonzalez, E Romero Workshop of the Cross-Language Evaluation Forum for European Languages, 615-622, 2007 | 31 | 2007 |
