Obtaining the relevant colors of an image through stability-based fuzzy color histograms. - Santiago Romaní; Pilar Sobrevilla; Eduard Montseny (FUZZ-IEEE, 2003)

A fuzzy approach to white blood cells segmentation in color bone marrow images. - Eduard Montseny; Pilar Sobrevilla; Santiago Romaní (FUZZ-IEEE, 2004)

An approach to Color Gradient Vector Argument considering Data Uncertainty. - Eduard Montseny; Belén Prados-Suárez; Pilar Sobrevilla; Santiago Romaní (EUSFLAT Conf., 2005)

On the Reliability Degree of Hue and Saturation Values of a Pixel for Color Image Classification. - Santiago Romaní; Pilar Sobrevilla; Eduard Montseny (FUZZ-IEEE, 2005)

An approach to manage Hue and Saturation uncertainty addressed to colour segmentation algorithms. - Santiago Romaní; Pilar Sobrevilla; Eduard Montseny (Int. J. Intell. Syst. Technol. Appl., 2006)

On the Reliability of the Color Gradient Vector Argument Approach. - Belén Prados-Suárez; Pilar Sobrevilla; Eduard Montseny; Santiago Romaní (IFSA/EUSFLAT Conf., 2009)

Cytoplasm Contour Approximation Based on Color Fuzzy Sets and Color Gradient. - Santiago Romaní; Belén Prados-Suárez; Pilar Sobrevilla; Eduard Montseny (IPMU, 2010)

Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network. - Vivek Kumar Singh 008; Santiago Romaní; Jordina Torrents-Barrena; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig (CCIA, 2017)

On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks. - Nasibeh Saffari; Hatem A. Rashwan; Blas Herrera; Santiago Romaní; Meritxell Arenas; Domenec Puig (CCIA, 2018)

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Saddam Abdulwahab; Najlaa Maaroof; Jordina Torrents-Barrena; Santiago Romaní; Domenec Puig (CCIA, 2018)

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Farhan Akram; Syeda Furruka Banu; Adel Saleh; Vivek Kumar Singh 008; Forhad U. H. Chowdhury; Saddam Abdulwahab; Santiago Romaní; Petia Radeva; Domenec Puig (MICCAI (2), 2018)

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Vivek Kumar Singh 008; 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 (MICCAI (2), 2018)

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Vivek Kumar Singh 008; Santiago Romaní; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Jordina Torrents-Barrena; Adel Saleh; Meritxell Arenas; Domenec Puig (CoRR, 2018)

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Saddam Abdulwahab; Najlaa Maaroof; Santiago Romaní; Domenec Puig (CoRR, 2018)

Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. - Vivek Kumar Singh 008; Hatem A. Rashwan; Santiago Romaní; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig; Jordina Torrents-Barrena (CoRR, 2018)

Mass Detection in Mammograms Using a Robust Deep Learning Model. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Hatem A. Rashwan; Farhan Akram; Rami Haffar; Nidhi Pandey; Md. Mostafa Kamal Sarker; Sebastian Kohan; Josep Guma; Santiago Romaní; Domenec Puig (CCIA, 2019)

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Alain Lalande; Benoit Presles; Santiago Romaní; Domenec Puig (IEEE Access, 2019)

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. - Vivek Kumar Singh 008; Hatem A. Rashwan; Mohamed Abdel-Nasser; Md. Mostafa Kamal Sarker; Farhan Akram; Nidhi Pandey; Santiago Romaní; Domenec Puig (CoRR, 2019)

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Farhan Akram; Hatem A. Rashwan; Md. Mostafa Kamal Sarker; Nidhi Pandey; Santiago Romaní; Domenec Puig (Expert Syst. Appl., 2020)

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Santiago Romaní; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig; Jordina Torrents-Barrena (Expert Syst. Appl., 2020)

Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. - Joao Paulo Schwarz Schuler; Santiago Romaní; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (CCIA, 2021)

Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. - Joao Paulo Schwarz Schuler; Santiago Romaní; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (CCIA, 2021)