Juan C. Caicedo
Juan C. Caicedo
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
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
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
Active object localization with deep reinforcement learning
JC Caicedo, S Lazebnik
Proceedings of the IEEE international conference on computer vision, 2488-2496, 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
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
Histopathology image classification using bag of features and kernel functions
JC Caicedo, A Cruz, FA Gonzalez
Artificial Intelligence in Medicine: 12th Conference on Artificial …, 2009
Fine-tuning Deep Convolutional Networks for Plant Recognition.
AK Reyes, JC Caicedo, JE Camargo
CLEF (Working Notes) 1391, 467-475, 2015
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
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
Applications in image-based profiling of perturbations
JC Caicedo, S Singh, AE Carpenter
Current Opinion in Biotechnology 39, 134–142, 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
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
Automating morphological profiling with generic deep convolutional networks
N Pawlowski, JC Caicedo, S Singh, AE Carpenter, A Storkey
BioRxiv, 085118, 2016
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
CytoGAN: generative modeling of cell images
P Goldsborough, N Pawlowski, JC Caicedo, S Singh, AE Carpenter
BioRxiv, 227645, 2017
Collaborative personalization of image enhancement
JC Caicedo, A Kapoor, SB Kang
CVPR 2011, 249-256, 2011
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
Image-based cell phenotyping with deep learning
A Pratapa, M Doron, JC Caicedo
Current opinion in chemical biology 65, 9-17, 2021
A semantic content-based retrieval method for histopathology images
JC Caicedo, FA Gonzalez, E Romero
Information Retrieval Technology: 4th Asia Infomation Retrieval Symposium …, 2008
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Artikkelit 1–20