Caicedo, Juan C.

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Plummer, B. A., Wang, L., Cervantes, C. M., Caicedo, J. C., Hockenmaier, J., & Lazebnik, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 1,444

Data-analysis strategies for image-based cell profiling

Caicedo, J. C., Cooper, S., Heigwer, F., Warchal, S., Qiu, P., Molnar, C., Vasilevich, A. S., Barry, J. D., Bansal, H. S., Kraus, O., et al. (2017) · Nature Methods

Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics

Cited by 739

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Hollandi, R., Szkalisity, A., Toth, T., Tasnadi, E., Molnar, C., Mathe, B., Grexa, I., Molnar, J., Balind, A., Gorbe, M., et al. (2020) · Cell Systems

Cell Image Analysis TechniquesDigital Imaging for Blood Diseases

Cited by 284

Histopathology Image Classification Using Bag of Features and Kernel Functions

Caicedo, J. C., Cruz, A., & Gonzalez, F. A. (2009) · Lecture Notes in Computer Science

Image Retrieval and Classification TechniquesAI in cancer detection

Cited by 192

Visual pattern mining in histology image collections using bag of features

Cruz-Roa, A., Caicedo, J. C., & González, F. A. (2011) · Artificial Intelligence in Medicine

Image Retrieval and Classification TechniquesAI in cancer detection

Cited by 133