| 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 | 155 | 2018 |
| 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 | 105 | 2016 |
| 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 | 72 | 2017 |
| 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 | 62 | 2020 |
| 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 | 53 | 2020 |
| 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 | 32 | 2019 |
| Learning regions of interest from low level maps in virtual microscopy D Romo, E Romero, F González Diagnostic Pathology 6 (1), 1-8, 2011 | 27 | 2011 |
| 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 | 15 | 2015 |
| 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 | 8 | 2015 |
| 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 | 7 | 2016 |
| 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 | 7 | 2015 |
| 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 | 6 | 2017 |
| 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 | 5 | 2022 |
| 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 | 5 | 2013 |
| 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 | 2 | 2021 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 | 1 | 2018 |
| 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 |
