A discriminant multi-scale histopathology descriptor using dictionary learning. - David Romo; Juan D. García-Arteaga; Pablo Arbeláez; Eduardo Romero 001 (Digital Pathology, 2014)

A Grading Strategy for Nuclear Pleomorphism in Histopathological Breast Cancer Images Using a Bag of Features (BOF). - Ricardo Moncayo; David Romo-Bucheli; Eduardo Romero 001 (CIARP, 2015)

Identifying histological concepts on basal cell carcinoma images using nuclei based sampling and multi-scale descriptors. - David Romo-Bucheli; Ricardo Moncayo; Angel Cruz-Roa; Eduardo Romero 001 (ISBI, 2015)

Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images. - David Romo-Bucheli; Andrew Janowczyk; Eduardo Romero 001; Hannah Gilmore; Anant Madabhushi (Digital Pathology, 2016)

Multi-channel non-invasive fetal electrocardiography detection using wavelet decomposition. - Javier Almeida; Josué Ruano; Germán Corredor; David Romo-Bucheli; José Ricardo Navarro-Vargas; Eduardo Romero 001 (SIPAIM, 2017)

Scoring nuclear pleomorphism using a visual BoF modulated by a graph structure. - Ricardo Moncayo-Martínez; David Romo-Bucheli; Viviana Arias; Eduardo Romero 001 (SIPAIM, 2017)

Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model. - Angélica Atehortúa; Mireille Garreau; David Romo-Bucheli; Eduardo Romero 001 (STACOM@MICCAI, 2018)

Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. - Philipp Seeböck; David Romo-Bucheli; Sebastian M. Waldstein; Hrvoje Bogunovic; José Ignacio Orlando; Bianca S. Gerendas; Georg Langs; Ursula Schmidt-Erfurth (ISBI, 2019)

End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging. - David Romo-Bucheli; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE J. Biomed. Health Informatics, 2020)

Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors. - Henry Peña; Santiago Gómez; David Romo-Bucheli; Fabio Martínez (EMBC, 2021)

A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans. - Jefferson Rodríguez; David Romo-Bucheli; Franklin Sierra; Diana Valenzuela; Carolina Valenzuela; Lina Vasquez; Paúl Camacho; Daniel Mantilla; Fabio Martínez (ISBI, 2021)

Fast detection and localization of mitosis using a semi-supervised deep representation. - Santiago Castro; David Romo-Bucheli; Luis Guayacán; Fabio Martínez (Digital and Computational Pathology, 2023)

Domain Adaptation Strategies Based on Color Normalisation for Histological Image Classification. - Juan Camilo Bayona Quesada; Angie Julieth Fuentes Barragán; Gabriel Eduardo Perez; David Romo-Bucheli (SIPAIM, 2024)

Evaluating Regions of Clinical Interest Generated by Deep Recurrent Attention Models in Histological Images. - Julián Orlando Rodriguez Villamizar; Daniel Felipe Rueda Mariño; David Romo-Bucheli (SIPAIM, 2024)