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David Edmundo Romo Bucheli
David Edmundo Romo Bucheli
Verified email at saber.uis.edu.co
Title
Cited by
Cited by
Year
Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers
C Lu, D Romo-Bucheli, X Wang, A Janowczyk, S Ganesan, H Gilmore, ...
Laboratory Investigation 98 (11), 1438-1448, 2018
1282018
Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images
D Romo-Bucheli, A Janowczyk, H Gilmore, E Romero, A Madabhushi
Scientific reports 6 (1), 1-9, 2016
932016
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers
D Romo‐Bucheli, A Janowczyk, H Gilmore, E Romero, A Madabhushi
Cytometry Part A 91 (6), 566-573, 2017
672017
End-to-end deep learning model for predicting treatment requirements in neovascular AMD from longitudinal retinal OCT imaging
D Romo-Bucheli, US Erfurth, H Bogunović
IEEE Journal of Biomedical and Health Informatics 24 (12), 3456-3465, 2020
402020
Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina
D Romo-Bucheli, P Seeböck, JI Orlando, BS Gerendas, SM Waldstein, ...
Biomedical Optics Express 11 (1), 346-363, 2020
402020
Using cyclegans for effectively reducing image variability across oct devices and improving retinal fluid segmentation
P Seeböck, D Romo-Bucheli, S Waldstein, H Bogunovic, JI Orlando, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
302019
Learning regions of interest from low level maps in virtual microscopy
D Romo, E Romero, F González
Diagnostic Pathology 6 (1), 1-8, 2011
272011
A grading strategy for nuclear pleomorphism in histopathological breast cancer images using a bag of features (bof)
R Moncayo, D Romo-Bucheli, E Romero
Iberoamerican Congress on Pattern Recognition, 75-82, 2015
142015
Adaptive dimensionality reduction with semi-supervision (address): Classifying multi-attribute biomedical data
G Lee, DE Romo Bucheli, A Madabhushi
PLoS One 11 (7), e0159088, 2016
82016
Blind colour separation of H&E stained histological images by linearly transforming the colour space
R Celis, D Romo, E Romero
Journal of microscopy 260 (3), 377-388, 2015
72015
Nuclei graph local features for basal cell carcinoma classification in whole slide images
D Romo-Bucheli, G Corredor, JD García-Arteaga, V Arias, E Romero
12th International Symposium on Medical Information Processing and Analysis …, 2017
62017
Identifying histological concepts on basal cell carcinoma images using nuclei based sampling and multi-scale descriptors
D Romo-Bucheli, R Moncayo, A Cruz-Roa, E Romero
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1008-1011, 2015
62015
Virtual slide mosaicing using feature descriptors and a registration consistency measure
DE Romo, J Tarquino, JD García-Arteaga, E Romero
IX International Seminar on Medical Information Processing and Analysis 8922 …, 2013
52013
Deep learning representations to support COVID-19 diagnosis on CT-slices
J Ruano, J Arcila, DR Bucheli, C Vargas, J Rodriguez, O Mendoza, ...
Biomédica 42 (2), 2022
22022
A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans
J Rodríguez, D Romo-Bucheli, F Sierra, D Valenzuela, C Valenzuela, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1665-1668, 2021
22021
A digital cardiac disease biomarker from a generative progressive cardiac cine-MRI representation
S Gomez, D Romo-Bucheli, F Martinez
Biomedical Engineering Letters 12 (1), 75-84, 2022
12022
Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors
H Peña, S Gómez, D Romo-Bucheli, F Martinez
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
12021
Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model
A Atehortúa, M Garreau, D Romo-Bucheli, E Romero
International Workshop on Statistical Atlases and Computational Models of …, 2018
12018
Fast detection and localization of mitosis using a semi-supervised deep representation
S Castro, D Romo-Bucheli, L Guayacán, F Martínez
Medical Imaging 2023: Digital and Computational Pathology 12471, 443-446, 2023
2023
Computer Aided Assessment of impact of Plastic Waste During COVID-19 Pandemidc in Urban Areas of Developing Countries
DF Rojas, N Galvan, DE Romo, VV Kafarov
Chemical Engineering Transactions 94, 511-516, 2022
2022
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