Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms. - Jordina Torrents-Barrena; Domenec Puig; Maria Ferre; Jaime Melendez; Joan Martí; Aïda Valls (CCIA, 2014)

Breast Masses Identification through Pixel-Based Texture Classification. - Jordina Torrents-Barrena; Domenec Puig; Maria Ferre; Jaime Melendez; Lorena Diez-Presa; Meritxell Arenas; Joan Martí (Digital Mammography / IWDM, 2014)

Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis. - Jordina Torrents-Barrena; Aïda Valls; Petia Radeva; Meritxell Arenas; Domenec Puig (CCIA, 2015)

Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks. - Jordina Torrents-Barrena; Jaime Melendez; Aïda Valls; Pere Romero; Domenec Puig (CCIA, 2015)

Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (CCIA, 2016)

A novel wavelet seismic denoising method using type II fuzzy. - M. Beenamol; J. Mohanalin; S. Prabavathy; Jordina Torrents-Barrena; Domenec Puig (Appl. Soft Comput., 2016)

Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images. - Jordina Torrents-Barrena; Domenec Puig; Jaime Melendez; Aïda Valls (J. Exp. Theor. Artif. Intell., 2016)

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)

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)

Fetal MRI Synthesis via Balanced Auto-Encoder Based Generative Adversarial Networks. - Jordina Torrents-Barrena; Gemma Piella; Narcís Masoller; Eduard Gratacós; Elisenda Eixarch; Mario Ceresa; Miguel Ángel González Ballester (EMBC, 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)

Preoperative Planning and Simulation Framework for Twin-to-Twin Transfusion Syndrome Fetal Surgery. - Jordina Torrents-Barrena; Rocío López-Velazco; Narcís Masoller; Brenda Valenzuela-Alcaraz; Eduard Gratacós; Elisenda Eixarch; Mario Ceresa; Miguel Ángel González Ballester (OR 2.0/CARE/CLIP/ISIC@MICCAI, 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)

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)

Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images. - Iván Calvo; Saúl Calderón Ramírez; Jordina Torrents-Barrena; Erick Muñoz; Domenec Puig (CARLA, 2019)

Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification. - Jose Carranza-Rojas; Saúl Calderón Ramírez; Adán Mora-Fallas; Michael Granados-Menani; Jordina Torrents-Barrena (ICANN (3), 2019)

Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal Surgery. - Jordina Torrents-Barrena; Gemma Piella; Narcís Masoller; Eduard Gratacós; Elisenda Eixarch; Mario Ceresa; Miguel Ángel González Ballester (ISBI, 2019)

Measuring (in)variances in Convolutional Networks. - Facundo Manuel Quiroga; Jordina Torrents-Barrena; Laura Lanzarini; Domenec Puig (JCC&BD, 2019)

TTTS-GPS: Patient-specific preoperative planning and simulation platform for twin-to-twin transfusion syndrome fetal surgery. - Jordina Torrents-Barrena; Rocío López-Velazco; Gemma Piella; Narcís Masoller; Brenda Valenzuela-Alcaraz; Eduard Gratacós; Elisenda Eixarch; Mario Ceresa; Miguel Ángel González Ballester (Comput. Methods Programs Biomed., 2019)

Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects. - Jordina Torrents-Barrena; Gemma Piella; Narcís Masoller; Eduard Gratacós; Elisenda Eixarch; Mario Ceresa; Miguel Ángel González Ballester (Medical Image Anal., 2019)

Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI. - Jordina Torrents-Barrena; Gemma Piella; Narcís Masoller; Eduard Gratacós; Elisenda Eixarch; Mario Ceresa; Miguel Ángel González Ballester (Medical Image Anal., 2019)

Deep learning -based segmentation methods for computer-assisted fetal surgery. - Jordina Torrents-Barrena (2019)

Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. - Saúl Calderón Ramírez; Raghvendra Giri; Shengxiang Yang; Armaghan Moemeni; Mario Umaña; David A. Elizondo; Jordina Torrents-Barrena; Miguel A. Molina-Cabello (ICPR, 2020)

A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. - Ariana Bermudez; Saúl Calderón Ramírez; Trevor Thang; Pascal N. Tyrrell; Armaghan Moemeni; Shengxiang Yang; Jordina Torrents-Barrena (IJCNN, 2020)

Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning. - Enric Perera-Bel; Mario Ceresa; Jordina Torrents-Barrena; Narcís Masoller; Brenda Valenzuela-Alcaraz; Eduard Gratacós; Elisenda Eixarch; Miguel Ángel González Ballester (Int. J. Comput. Assist. Radiol. Surg., 2020)

Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Margarita Gamarra; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (Comput. Biol. Medicine, 2020)

MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. - Saúl Calderón Ramírez; Luis Oala; Jordina Torrents-Barrena; Shengxiang Yang; Armaghan Moemeni; Wojciech Samek; Miguel A. Molina-Cabello (CoRR, 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)

Deep Q-CapsNet Reinforcement Learning Framework for Intrauterine Cavity Segmentation in TTTS Fetal Surgery Planning. - Jordina Torrents-Barrena; Gemma Piella; Eduard Gratacós; Elisenda Eixarch; Mario Ceresa; Miguel Ángel González Ballester (IEEE Trans. Medical Imaging, 2020)

TTTS-STgan: Stacked Generative Adversarial Networks for TTTS Fetal Surgery Planning Based on 3D Ultrasound. - Jordina Torrents-Barrena; Gemma Piella; Brenda Valenzuela-Alcaraz; Eduard Gratacós; Elisenda Eixarch; Mario Ceresa; Miguel Ángel González Ballester (IEEE Trans. Medical Imaging, 2020)

Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. - Willard Zamora-Cárdenas; Mauro Mendez; Saúl Calderón Ramírez; Martin Vargas; Gerardo Monge; Steve Quirós; David A. Elizondo; Jordina Torrents-Barrena; Miguel A. Molina-Cabello (IWANN (1), 2021)

A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Margarita Gamarra; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (Expert Syst. Appl., 2021)

Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. - Carla Sendra-Balcells; Víctor M. Campello; Jordina Torrents-Barrena; Yahya Ali Ahmed; Mustafa A. Elattar; Benard Ohene Botwe; Pempho Nyangulu; William Stones; Mohammed Ammar; Lamya Nawal Benamer; Harriet Nalubega Kisembo; Senai Goitom Sereke; et al. (CoRR, 2022)

FPGA acceleration analysis of LibSVM predictors based on high-level synthesis. - Lucas Leiva; Martín Vázquez 001; Jordina Torrents-Barrena (J. Supercomput., 2022)

Invariance measures for neural networks. - Facundo Manuel Quiroga; Jordina Torrents-Barrena; Laura Lanzarini; Domenec Puig-Valls (Appl. Soft Comput., 2023)

Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. - Saúl Calderón Ramírez; Luis Oala; Jordina Torrents-Barrena; Shengxiang Yang; David A. Elizondo; Armaghan Moemeni; Simon Colreavy-Donnelly; Wojciech Samek; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IEEE Trans. Artif. Intell., 2023)

FPGA-Based Accelerator for AI-Toolbox Reinforcement Learning Library. - Lucas Leiva; Jordina Torrents-Barrena; Martín Vázquez 001 (IEEE Embed. Syst. Lett., 2023)