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ORCIDSantiago Romaní
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2020 – today
- 2021
[c14]Joao Paulo Schwarz Schuler, Santiago Romaní
, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. CCIA 2021: 375-382- [c13]Joao Paulo Schwarz Schuler, Santiago Romaní, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. CCIA 2021: 383-391 - 2020
- [j4]Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena:
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. Expert Syst. Appl. 139 (2020) - [j3]Vivek Kumar Singh, Mohamed Abdel-Nasser, Farhan Akram, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Nidhi Pandey, Santiago Romaní, Domenec Puig:
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. 162: 113870 (2020)
2010 – 2019
- 2019
- [j2]Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romaní, Domenec Puig:
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7: 130552-130565 (2019) - [c12]Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Rami Haffar, Nidhi Pandey, Md. Mostafa Kamal Sarker, Sebastian Kohan, Josep Guma, Santiago Romaní, Domenec Puig:
Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA 2019: 365-372 - [i5]Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romaní, Domenec Puig:
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR abs/1907.00887 (2019) - 2018
- [c11]Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Jordina Torrents-Barrena, Santiago Romaní, Domenec Puig:
Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. CCIA 2018: 373-380 - [c10]Nasibeh Saffari, Hatem A. Rashwan, Blas Herrera, Santiago Romaní, Meritxell Arenas, Domenec Puig:
On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks. CCIA 2018: 386-393 - [c9]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) 2018: 21-29 - [c8]Vivek Kumar Singh, Santiago Romaní, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Saddam Abdulwahab, Jordina Torrents-Barrena, Adel Saleh, Miguel Arquez, Meritxell Arenas, Domenec Puig:
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. MICCAI (2) 2018: 833-840 - [i4]Vivek Kumar Singh, Santiago Romaní, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Jordina Torrents-Barrena, Adel Saleh, Meritxell Arenas, Domenec Puig:
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. CoRR abs/1805.10207 (2018) - [i3]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR abs/1805.10241 (2018) - [i2]Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romaní, Domenec Puig:
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. CoRR abs/1806.03905 (2018) - [i1]Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena:
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. CoRR abs/1809.01687 (2018) - 2017
- [c7]Vivek Kumar Singh, Santiago Romaní, Jordina Torrents-Barrena, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig:
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network. CCIA 2017: 76-85 - 2010
- [c6]Santiago Romaní, Belén Prados-Suárez, Pilar Sobrevilla, Eduard Montseny:
Cytoplasm Contour Approximation Based on Color Fuzzy Sets and Color Gradient. IPMU 2010: 645-654
2000 – 2009
- 2009
- [c5]Belén Prados-Suárez, Pilar Sobrevilla, Eduard Montseny, Santiago Romaní:
On the Reliability of the Color Gradient Vector Argument Approach. IFSA/EUSFLAT Conf. 2009: 1863-1868 - 2006
- [j1]Santiago Romaní, Pilar Sobrevilla, Eduard Montseny:
An approach to manage Hue and Saturation uncertainty addressed to colour segmentation algorithms. Int. J. Intell. Syst. Technol. Appl. 1(3/4): 393-408 (2006) - 2005
- [c4]Eduard Montseny, Belén Prados-Suárez, Pilar Sobrevilla, Santiago Romaní:
An approach to Color Gradient Vector Argument considering Data Uncertainty. EUSFLAT Conf. 2005: 705-708 - [c3]Santiago Romaní, Pilar Sobrevilla, Eduard Montseny:
On the Reliability Degree of Hue and Saturation Values of a Pixel for Color Image Classification. FUZZ-IEEE 2005: 306-311 - 2004
- [c2]Eduard Montseny, Pilar Sobrevilla, Santiago Romaní:
A fuzzy approach to white blood cells segmentation in color bone marrow images. FUZZ-IEEE 2004: 173-178 - 2003
- [c1]Santiago Romaní, Pilar Sobrevilla, Eduard Montseny:
Obtaining the relevant colors of an image through stability-based fuzzy color histograms. FUZZ-IEEE 2003: 914-919
Coauthor Index
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