Santiago Romaní

Orcid: 0000-0001-6673-9615

According to our database1, Santiago Romaní authored at least 22 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet.
Proceedings of the Artificial Intelligence Research and Development, 2021

Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches.
Proceedings of the Artificial Intelligence Research and Development, 2021

2020
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.
Expert Syst. Appl., 2020

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework.
Expert Syst. Appl., 2020

2019
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning.
CoRR, 2019

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.
IEEE Access, 2019

Mass Detection in Mammograms Using a Robust Deep Learning Model.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
CoRR, 2018

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network.
CoRR, 2018

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
CoRR, 2018

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network.
Proceedings of the Artificial Intelligence Research and Development, 2018

On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2010
Cytoplasm Contour Approximation Based on Color Fuzzy Sets and Color Gradient.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009
On the Reliability of the Color Gradient Vector Argument Approach.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2006
An approach to manage Hue and Saturation uncertainty addressed to colour segmentation algorithms.
Int. J. Intell. Syst. Technol. Appl., 2006

2005
On the Reliability Degree of Hue and Saturation Values of a Pixel for Color Image Classification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

An approach to Color Gradient Vector Argument considering Data Uncertainty.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

2004
A fuzzy approach to white blood cells segmentation in color bone marrow images.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Obtaining the relevant colors of an image through stability-based fuzzy color histograms.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003


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