| The strong gravitational lens finding challenge RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ... Astronomy & Astrophysics 625, A119, 2019 | 38 | 2019 |
| A neural network gravitational arc finder based on the Mediatrix filamentation method CR Bom, M Makler, MP Albuquerque, CH Brandt Astronomy & Astrophysics 597, A135, 2017 | 27 | 2017 |
| Observation and confirmation of six strong-lensing systems in the Dark Energy Survey science verification data B Nord, E Buckley-Geer, H Lin, HT Diehl, J Helsby, N Kuropatkin, ... The Astrophysical Journal 827 (1), 51, 2016 | 25 | 2016 |
| A deep residual convolutional neural network for automatic lithological facies identification in Brazilian pre-salt oilfield wellbore image logs MB Valentín, CR Bom, JM Coelho, MD Correia, P Márcio, P Marcelo, ... Journal of Petroleum Science and Engineering 179, 474-503, 2019 | 18 | 2019 |
| Constraints on the physical properties of GW190814 through simulations based on DECam follow-up observations by the Dark Energy Survey R Morgan, M Soares-Santos, J Annis, K Herner, A Garcia, A Palmese, ... The Astrophysical Journal 901 (1), 83, 2020 | 14 | 2020 |
| Estimation of permeability and effective porosity logs using deep autoencoders in borehole image logs from the brazilian pre-salt carbonate MB Valentín, CR Bom, ALM Compan, MD Correia, CM de Jesus, ... Journal of Petroleum Science and Engineering 170, 315-330, 2018 | 13 | 2018 |
| Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks LO Dias, CR Bom, EL Faria, MB Valentín, MD Correia, P Márcio, ... Journal of Petroleum Science and Engineering 191, 107099, 2020 | 12 | 2020 |
| A simple prescription for simulating and characterizing gravitational arcs C Furlanetto, BX Santiago, M Makler, C de Bom, CH Brandt, AF Neto, ... Astronomy & Astrophysics 549, A80, 2013 | 12 | 2013 |
| Representative elementary volume for NMR simulations based on X-ray microtomography of sedimentary rock JL Gonzalez, EL de Faria, MP Albuquerque, MP Albuquerque, CR Bom, ... Journal of Petroleum Science and Engineering 166, 906-912, 2018 | 6 | 2018 |
| Deep Learning in Wide-field Surveys: Fast Analysis of Strong Lenses in Ground-based Cosmic Experiments C Bom, J Poh, B Nord, M Blanco-Valentin, L Dias arXiv preprint arXiv:1911.06341, 2019 | 5 | 2019 |
| Astronomy & Astrophysics, 597 C Bom, M Makler, M Albuquerque, C Brandt A135, 2017 | 5 | 2017 |
| Brand t, CH 2017 CR Bom, M Makler, MP Albuquerque A&A 597, A135, 0 | 5 | |
| Texture classification based on spectral analysis and haralick features classificaçao de texturas mediante análise espectral e parâmetros de haralick MB Valentin, CR de Bom, P Márcio, P Marcelo, EL Faria, MD Correia Notas Técnicas 6 (1), 2016 | 4 | 2016 |
| Segmentação textural de imagens de rocha por microtomografia segmentation of microtomography images of rocks using texture filter LO Dias, CR De Bom, H Guimarães, EL Faria, P Márcio, P Marcelo, ... Notas Técnicas 6 (1), 2016 | 4 | 2016 |
| On a method for Rock Classification using Textural Features and Genetic Optimization MB Valentin, CR De Bom, MP de Albuquerque, MP de Albuquerque, ... arXiv preprint arXiv:1607.01679, 2016 | 2* | 2016 |
| Finding Gravitational Arcs in Wide-Field Surveys: the Mediatrix Arcfinder and Comparison to Other Methods in a Simulated Sample CR De Bom, C Furlanetto, A More, C Brandt, M Makler, B Santiago The Thirteenth Marcel Grossmann Meeting: On Recent Developments in …, 2015 | 2 | 2015 |
| Deep learning Blazar classification based on multifrequency spectral energy distribution data BMO Fraga, U Barres de Almeida, CR Bom, CH Brandt, P Giommi, ... Monthly Notices of the Royal Astronomical Society 505 (1), 1268-1279, 2021 | 1 | 2021 |
| LIGO/Virgo S200224ca: DESGW Summary of DECam Observations R Morgan, A Palmese, A Garcia, M Soares-Santos, K Herner, CR Bom, ... GCN, 2020 | 1 | 2020 |
| LIGO/Virgo S200224ca: DESGW Optical counterpart candidates from DECam R Morgan, A Garcia, M Soares-Santos, K Herner, CR Bom, A Palmese, ... GCN, 2020 | 1 | 2020 |
| LIGO/Virgo S200114f: SOAR spectroscopy of AT2020zf, AT2020ace and AT2020ach GCN, 2020 | 1* | 2020 |
