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Maysa M. G. Macedo
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2020 – today
- 2022
- [c16]Maysa Malfiza Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério Abreu de Paula, Subhro Das:
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. AIES 2022: 285-294 - [c15]Tyler Baldwin, Wyatt Clarke, Maysa M. Garcia de Macedo, Rogério de Paula, Subhro Das:
Better Skill-based Job Representations, Assessed via Job Transition Data. IEEE Big Data 2022: 2182-2185 - [i1]Maysa M. Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério de Paula, Subhro Das:
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. CoRR abs/2205.09508 (2022) - 2021
- [c14]Anderson Gabriel Santiago, Camila C. Santos, Maysa M. G. Macedo, Juliana K. M. B. Daguano, Andrea C. D. Rodas:
Non-destructive fibroblast NIH-3T3 spheroid classification using convolutional neural network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c13]Danilo Calhes, Felipe Kawashita Kobayashi, Andréa Britto Mattos, Maysa M. G. Macedo, Dário A. B. Oliveira:
Simplifying Horizon Picking Using Single-Class Semantic Segmentation Networks. SIBGRAPI 2021: 286-292 - 2020
- [j2]Maysa Malfiza Garcia de Macedo, Andréa Britto Mattos, Dário Augusto Borges Oliveira:
Generalization of Convolutional LSTM Models for Crop Area Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1134-1142 (2020)
2010 – 2019
- 2019
- [c12]Maysa Malfiza Garcia de Macedo, Dário Augusto Borges Oliveira, Marco Antonio Gutierrez:
Atherosclerotic Plaques Recognition in Intracoronary Optical Images Using Neural Networks. CinC 2019: 1-4 - [c11]Felipe Kawashita Kobayashi, Andréa Britto Mattos, Bruno Holtz Gemignani, Maysa M. G. Macedo:
Experimental Analysis of Citrus Tree Classification from UAV Images. ISM 2019: 32-39 - [c10]Maysa M. G. Macedo, Dário A. B. Oliveira:
Exploring features towards semantic characterization of lung nodules in computed tomography images. Medical Imaging: Computer-Aided Diagnosis 2019: 109503L - 2018
- [c9]Dário A. B. Oliveira, Maysa M. G. Macedo, Pedro Nicz, Carlos M. Campos, Pedro A. Lemos, Marco A. Gutierrez:
Coronary calcification identification in optical coherence tomography using convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781Y - 2017
- [c8]Maysa M. G. Macedo, Pedro Nicz, Carlos M. Campos, Pedro A. Lemos, Marco A. Gutierrez:
Wavelet Analysis for Multiresolution Tissue Characterization in Intracoronary Optical Images. CinC 2017 - [c7]C. D. N. Porto, Cicero F. F. Costa Filho, Maysa M. G. Macedo, Marco A. Gutierrez, Marly Guimarães Fernandes Costa:
Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network models. Medical Imaging: Computer-Aided Diagnosis 2017: 101344D - 2016
- [c6]Maysa M. G. Macedo, Pedro Nicz, Carlos M. Campos, Pedro A. Lemos, Marco A. Gutierrez:
Spatial-Frequency Approach to Fibrous Tissue Classification in Intracoronary Optical Images. CinC 2016 - [c5]John A. Sims, Marco A. Gutierrez, Maysa M. G. Macedo:
Directional Analysis of Cardiac Motion Field based on the Discrete Helmholtz Hodge Decomposition. CinC 2016 - 2015
- [j1]Maysa M. G. Macedo, Welingson V. N. Guimarães, Micheli Zanotti Galon, Celso K. Takimura, Pedro A. Lemos, Marco Antonio Gutierrez:
A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning. Comput. Medical Imaging Graph. 46: 237-248 (2015) - [c4]Maysa M. G. Macedo, Celso K. Takimura, Pedro A. Lemos, Marco A. Gutierrez:
An automatic labeling bifurcation method for intracoronary optical coherence tomography images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94170S - 2013
- [c3]Maysa M. G. Macedo, Miguel A. Galarreta-Valverde, Choukri Mekkaoui, Marcel P. Jackowski:
A centerline-based estimator of vessel bifurcations in angiography images. Medical Imaging: Computer-Aided Diagnosis 2013: 86703K - [c2]Miguel A. Galarreta-Valverde, Maysa M. G. Macedo, Choukri Mekkaoui, Marcel P. Jackowski:
Three-dimensional synthetic blood vessel generation using stochastic L-systems. Medical Imaging: Image Processing 2013: 86691I - 2012
- [b1]Maysa Malfiza Garcia de Macedo:
Detection and Extraction of Vascular Networks using Hough Transform. University of São Paulo, Brazil, 2012 - 2010
- [c1]Maysa M. G. Macedo, Choukri Mekkaoui, Marcel P. Jackowski:
Vessel Centerline Tracking in CTA and MRA Images Using Hough Transform. CIARP 2010: 295-302
Coauthor Index
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