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Biomedical Engineering Letters|February 21, 2022
A digital cardiac disease biomarker from a generative progressive cardiac cine-MRI representationSantiago Gómez, David Romo-Bucheli, Fabio Martínez
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT ImagingDavid Romo-Bucheli, Ursula Schmidt Erfurth, Hrvoje Bogunovic
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding VectorsHenry Pena, Santiago Gomez, David Romo-Bucheli, et al.
Traffic Injury Prevention|April 22, 2025
Prediction of urban medical emergencies using machine learning models based on spatial and temporal variablesFrans Guillermo Taboada Rivera, Miller Salas, David Romo-Bucheli
Scientific Reports|September 8, 2016
Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide ImagesDavid Romo-Bucheli, Andrew Janowczyk, Hannah Gilmore, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 14, 2017
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancersDavid Romo-Bucheli, Andrew Janowczyk, Hannah Gilmore, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Yet another STAin NORmalization Method: Point Set Registration for Color Space Alignment in Histological ImagesJuan Camilo Bayona, Leidy T Molano, Ricardo A Moncayo, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|July 1, 2018
Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancersCheng Lu, David Romo-Bucheli, Xiangxue Wang, et al.
Biomedical Optics Express|February 4, 2020
Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retinaDavid Romo-Bucheli, Philipp Seeböck, José Ignacio Orlando, et al.
Biomedica : Revista Del Instituto Nacional De Salud|April 26, 2022
Deep learning representations to support COVID-19 diagnosis on CT slicesJosué Ruano, John Arcila, David Romo-Bucheli, et al.
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