David Romo-Bucheli

14 papers C 1Journal 2Unranked 11
YearRankTypeTitle / Venue / Authors
2024 — conf
Domain Adaptation Strategies Based on Color Normalisation for Histological Image Classification.
SIPAIM
Juan Camilo Bayona Quesada, Angie Julieth Fuentes Barragán, Gabriel Eduardo Perez, David Romo-Bucheli
2024 — conf
Evaluating Regions of Clinical Interest Generated by Deep Recurrent Attention Models in Histological Images.
SIPAIM
Julián Orlando Rodriguez Villamizar, Daniel Felipe Rueda Mariño, David Romo-Bucheli
2023 — conf
Fast detection and localization of mitosis using a semi-supervised deep representation.
Digital and Computational Pathology
Santiago Castro, David Romo-Bucheli, Luis Guayacán, Fabio Martínez
2021 — conf
A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans.
ISBI
Jefferson Rodríguez, David Romo-Bucheli, Franklin Sierra, Diana Valenzuela, Carolina Valenzuela, Lina Vasquez, Paúl Camacho, Daniel Mantilla, Fabio Martínez
2021 — conf
Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors.
EMBC
Henry Peña, Santiago Gómez, David Romo-Bucheli, Fabio Martínez
2020 J jnl
End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging.
IEEE J. Biomed. Health Informatics
David Romo-Bucheli, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2019 J jnl
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation.
CoRR
Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
2019 — conf
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.
ISBI
Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
2018 — conf
Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model.
STACOM@MICCAI
Angélica Atehortúa, Mireille Garreau, David Romo-Bucheli, Eduardo Romero
2017 — conf
Multi-channel non-invasive fetal electrocardiography detection using wavelet decomposition.
SIPAIM
Javier Almeida, Josué Ruano, Germán Corredor, David Romo-Bucheli, José Ricardo Navarro-Vargas, Eduardo Romero
2017 — conf
Scoring nuclear pleomorphism using a visual BoF modulated by a graph structure.
SIPAIM
Ricardo Moncayo-Martínez, David Romo-Bucheli, Viviana Arias, Eduardo Romero
2016 — conf
Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images.
Digital Pathology
David Romo-Bucheli, Andrew Janowczyk, Eduardo Romero, Hannah Gilmore, Anant Madabhushi
2015 C conf
A Grading Strategy for Nuclear Pleomorphism in Histopathological Breast Cancer Images Using a Bag of Features (BOF).
CIARP
Ricardo Moncayo, David Romo-Bucheli, Eduardo Romero
2015 — conf
Identifying histological concepts on basal cell carcinoma images using nuclei based sampling and multi-scale descriptors.
ISBI
David Romo-Bucheli, Ricardo Moncayo, Angel Cruz-Roa, Eduardo Romero