ADMorph: a 3D digital microfossil morphology dataset for deep learning Y Hou, X Cui, M Canul-Ku, S Jin, R Hasimoto-Beltran, Q Guo, M Zhu IEEE Access 8, 148744-148756, 2020 | 21 | 2020 |
Ocean oil spill detection from SAR images based on multi-channel deep learning semantic segmentation R Hasimoto-Beltran, M Canul-Ku, GMD Méndez, FJ Ocampo-Torres, ... Marine Pollution Bulletin 188, 114651, 2023 | 12 | 2023 |
Semantic segmentation of vertebrate microfossils from computed tomography data using a deep learning approach Y Hou, M Canul-Ku, X Cui, R Hasimoto-Beltran, M Zhu Journal of Micropalaeontology 40 (2), 163-173, 2021 | 9 | 2021 |
Classification of 3D archaeological objects using multi-view curvature structure signatures M Canul-Ku, R Hasimoto-Beltran, D Jiménez-Badillo, S Ruiz-Correa, ... IEEE Access 7, 3298-3313, 2018 | 9 | 2018 |
Reconocimiento de objetos en escenas complejas para aplicaciones de realidad aumentada M Canul-Ku, D Jiménez, JB Hayet Museo, 2014 | 8 | 2014 |
Super‐resolution reconstruction of vertebrate microfossil computed tomography images based on deep learning Y Hou, M Canul‐Ku, X Cui, M Zhu X‐Ray Spectrometry, 2023 | | 2023 |
Beyond 3D Modelling: Analysis of archaeological artefacts based on a morphing algorithm RHB Diego Jimenez-Badillo, Salvador Ruiz-Correa, Mario Canul-Ku Computer Applications and Quantitave Methods in Archaeology (CAA), Tubingen …, 2018 | | 2018 |
A machine learning approach for 3D shape analysis and recognition of archaeological objects D Jiménez-Badillo, MC Ku, S Ruíz-Correa, R Hasimoto-Beltrán CAA 2016, 2016 | | 2016 |
A computer platform to analyse the shape of museum objects in 3D D Jiménez-Badillo, S Ruíz-Correa, EF Roman-Rangel, ... Ioannis Liritzis University of the Aegean, GR Arne Flaten Ball State …, 2015 | | 2015 |
CLASIFICACIÓN EFICIENTE DE OBJETOS USANDO LA CARACTERÍSTICA DE EULER E Amézquita Morataya, M Canul Ku, A Rieser | | |
Efficient object classification using Euler Characteristic E Amezquita, A Rieser, MC Ku, R Hasimoto, SR Correa, DJ Badillo Familia 2 (10), 11, 0 | | |