Content-Based Medical Image Retrieval Using Low-Level Visual Features and Modality Identification. - Juan C. Caicedo; Fabio A. González 001; Eduardo Romero 001 (CLEF, 2007)

Design of a Medical Image Database with Content-Based Retrieval Capabilities. - Juan C. Caicedo; Fabio A. González 001; Edwin Triana; Eduardo Romero 001 (PSIVT, 2007)

A Semantic Content-Based Retrieval Method for Histopathology Images. - Juan C. Caicedo; Fabio A. González 001; Eduardo Romero 001 (AIRS, 2008)

Recuperación de Imágenes Médicas por Contenido usando Indexamiento Métrico. - Edwin A. Niño; Juan C. Caicedo; Fabio A. González 001 (Rev. Avances en Sistemas Informática, 2008)

Histopathology Image Classification Using Bag of Features and Kernel Functions. - Juan C. Caicedo; Angel Cruz-Roa; Fabio A. González 001 (AIME, 2009)

Visual Pattern Analysis in Histopathology Images Using Bag of Features. - Angel Cruz-Roa; Juan C. Caicedo; Fabio A. González 001 (CIARP, 2009)

A kernel-based strategy for exploratory image collection search. - Jorge E. Camargo; Juan C. Caicedo; Anyela M. Chavarro; Fabio A. González 001 (CBMI, 2010)

NMF-based multimodal image indexing for querying by visual example. - Fabio A. González 001; Juan C. Caicedo; Olfa Nasraoui; Jaafar Ben-Abdallah (CIVR, 2010)

Bioingenium at ImageClefmed 2010: A Latent Semantic Approach. - José G. Moreno 001; Juan C. Caicedo; Fabio A. González 001 (CLEF (Notebook Papers/LABs/Workshops), 2010)

Multimodal Image Collection Visualization Using Non-negative Matrix Factorization. - Jorge E. Camargo; Juan C. Caicedo; Fabio A. González 001 (ECDL, 2010)

Combining visual features and text data for medical image retrieval using latent semantic kernels. - Juan C. Caicedo; José G. Moreno 001; Edwin A. Niño; Fabio A. González 001 (Multimedia Information Retrieval, 2010)

Multimodal Image Annotation Using Non-negative Matrix Factorization. - Jaafar Ben-Abdallah; Juan C. Caicedo; Fabio A. González 001; Olfa Nasraoui (Web Intelligence, 2010)

Combining Low-level Features for Improved Classification and Retrieval of Histology Images. - Juan C. Caicedo; Ebroul Izquierdo (Trans. Mass Data Anal. Images Signals, 2010)

Collaborative personalization of image enhancement. - Juan C. Caicedo; Ashish Kapoor; Sing Bing Kang (CVPR, 2011)

Quantum Latent Semantic Analysis. - Fabio A. González 001; Juan C. Caicedo (ICTIR, 2011)

Histology Image Indexing Using a Non-negative Semantic Embedding. - Jorge A. Vanegas; Juan C. Caicedo; Fabio A. González 001; Eduardo Romero 001 (MCBR-CDS, 2011)

Visual pattern mining in histology image collections using bag of features. - Angel Cruz-Roa; Juan C. Caicedo; Fabio A. González 001 (Artif. Intell. Medicine, 2011)

Content-based histopathology image retrieval using a kernel-based semantic annotation framework. - Juan C. Caicedo; Fabio A. González 001; Eduardo Romero 001 (J. Biomed. Informatics, 2011)

Online Matrix Factorization for Multimodal Image Retrieval. - Juan C. Caicedo; Fabio A. González 001 (CIARP, 2012)

Bioingenium at ImageCLEF 2012: Text and Visual Indexing for Medical Images. - Jorge A. Vanegas; Juan C. Caicedo; Jorge E. Camargo; Raúl Ramos-Pollán; Fabio A. González 001 (CLEF (Online Working Notes/Labs/Workshop), 2012)

BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources. - Raúl Ramos-Pollán; Fabio A. González 001; Juan C. Caicedo; Angel Cruz-Roa; Jorge E. Camargo; Jorge A. Vanegas; Santiago A. Perez; José David Bermeo; Juan Sebastian Otálora Montenegro; Paola K. Rozo; John Edison Arevalo Ovalle (eScience, 2012)

Multimodal fusion for image retrieval using matrix factorization. - Juan C. Caicedo; Fabio A. González 001 (ICMR, 2012)

Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization. - Juan C. Caicedo; Jaafar Ben-Abdallah; Fabio A. González 001; Olfa Nasraoui (Neurocomputing, 2012)

A kernel-based framework for image collection exploration. - Jorge E. Camargo; Juan C. Caicedo; Fabio A. González 001 (J. Vis. Lang. Comput., 2013)

Collaborative Personalization of Image Enhancement. - Ashish Kapoor; Juan C. Caicedo; Dani Lischinski; Sing Bing Kang (Int. J. Comput. Vis., 2014)

Histology image search using multimodal fusion. - Juan C. Caicedo; Jorge A. Vanegas; Fabian Páez; Fabio A. González 001 (J. Biomed. Informatics, 2014)

Fine-tuning Deep Convolutional Networks for Plant Recognition. - Angie K. Reyes; Juan C. Caicedo; Jorge E. Camargo (CLEF (Working Notes), 2015)

Active Object Localization with Deep Reinforcement Learning. - Juan C. Caicedo; Svetlana Lazebnik (ICCV, 2015)

Computing Arithmetic Operations on Sequences of Handwritten Digits. - Andrés Pérez; Angélica Quevedo; Juan C. Caicedo (CIARP, 2016)

Identifying Colombian Bird Species from Audio Recordings. - Angie K. Reyes; Juan C. Caicedo; Jorge E. Camargo (CIARP, 2016)

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. - Bryan A. Plummer; Liwei Wang 009; Chris M. Cervantes; Juan C. Caicedo; Julia Hockenmaier; Svetlana Lazebnik (Int. J. Comput. Vis., 2017)

Weakly Supervised Learning of Single-Cell Feature Embeddings. - Juan C. Caicedo; Claire McQuin; Allen Goodman; Shantanu Singh; Anne E. Carpenter (CVPR, 2018)

Combining morphological and migration profiles of in vitro time-lapse data. - Tim Becker; Juan C. Caicedo; Shantanu Singh; Markus Weckmann; Anne E. Carpenter (ISBI, 2018)

Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning. - Maxime W. Lafarge; Juan C. Caicedo; Anne E. Carpenter; Josien P. W. Pluim; Shantanu Singh; Mitko Veta (MIDL, 2019)

Multi-Attribute Learning With Highly Imbalanced Data. - Viviana Beltrán; Mickaël Coustaty; Nicholas Journet; Juan C. Caicedo; Antoine Doucet (ICPR, 2020)

An Extended Evaluation of the Impact of Different Modules in ST-VQA Systems. - Viviana Beltrán; Mickaël Coustaty; Nicholas Journet; Juan C. Caicedo; Antoine Doucet (ICPRAI, 2020)

Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings. - Siqi Wang; Manyuan Lu; Nikita Moshkov; Juan C. Caicedo; Bryan A. Plummer (CoRR, 2021)

Deep multimodal learning for cross-modal retrieval: One model for all tasks. - Viviana Beltrán; Juan C. Caicedo; Nicholas Journet; Mickaël Coustaty; François Lecellier; Antoine Doucet (Pattern Recognit. Lett., 2021)

Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy. - Wolfgang M. Pernice; Michael Doron; Alex Quach; Aditya Pratapa; Sultan Kenjeyev; Nicholas De Veaux; Michio Hirano; Juan C. Caicedo (CVPR Workshops, 2023)

Early-to-Late Prediction of DCE-MRI Contrast-Enhanced Images in Using Generative Adversarial Networks. - Rubén D. Fonnegra; Liliana M. Hernández; Juan C. Caicedo; Gloria M. Díaz (ISBI, 2023)

CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. - Zitong Sam Chen; Chau Pham 001; Siqi Wang; Michael Doron; Nikita Moshkov; Bryan A. Plummer; Juan C. Caicedo (NeurIPS, 2023)

A Time-Intensity Aware Pipeline for Generating Late-Stage Breast DCE-MRI using Generative Adversarial Models. - Rubén D. Fonnegra; Liliana M. Hernández; Juan C. Caicedo; Gloria M. Díaz (CoRR, 2024)

Synthesizing late-stage contrast enhancement in breast MRI: A comprehensive pipeline leveraging temporal contrast enhancement dynamics. - Rubén D. Fonnegra; Maria Liliana Hernández; Juan C. Caicedo; Gloria M. Díaz (Comput. Biol. Medicine, 2025)

Scaling Channel-Adaptive Self-Supervised Learning. - Alice V. De Lorenci; Seung Eun Yi; Théo Moutakanni; Piotr Bojanowski; Camille Couprie; Juan C. Caicedo; Wolfgang Maximilian Anton Pernice (Trans. Mach. Learn. Res., 2025)

ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning. - Chau Pham 001; Juan C. Caicedo; Bryan A. Plummer (CoRR, 2025)