default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJordina Torrents-Barrena
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[j15]Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Lanzarini, Domenec Puig-Valls:
Invariance measures for neural networks. Appl. Soft Comput. 132: 109817 (2023)- [j14]Lucas Leiva
, Jordina Torrents-Barrena, Martín Vázquez:
FPGA-Based Accelerator for AI-Toolbox Reinforcement Learning Library. IEEE Embed. Syst. Lett. 15(2): 113-116 (2023) - [j13]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:
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4(2): 282-291 (2023) - [i5]Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Cristina Lanzarini, Domenec Puig-Valls:
Invariance Measures for Neural Networks. CoRR abs/2310.17404 (2023) - 2022
- [j12]Lucas Leiva, Martín Vázquez, Jordina Torrents-Barrena:
FPGA acceleration analysis of LibSVM predictors based on high-level synthesis. J. Supercomput. 78(12): 14137-14163 (2022) - [i4]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, Sikolia Z. Wanyonyi, Marleen Temmerman, Kamil Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir:
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. CoRR abs/2209.09610 (2022) - 2021
- [j11]José Escorcia-Gutierrez, Jordina Torrents-Barrena, Margarita Gamarra, Pedro Romero-Aroca, Aïda Valls, Domenec Puig:
A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images. Expert Syst. Appl. 174: 114697 (2021) - [c17]Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. IWANN (1) 2021: 36-46 - [e2]Carole H. Sudre, Roxane Licandro, Christian F. Baumgartner, Andrew Melbourne, Adrian V. Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents-Barrena, William M. Wells III, Christopher K. Macgowan:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 12959, Springer 2021, ISBN 978-3-030-87734-7 [contents] - 2020
- [j10]Enric Perera-Bel, Mario Ceresa, Jordina Torrents-Barrena, Narcís Masoller, Brenda Valenzuela-Alcaraz, Eduard Gratacós, Elisenda Eixarch, Miguel Ángel González Ballester:
Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1869-1879 (2020) - [j9]José Escorcia-Gutierrez, Jordina Torrents-Barrena, Margarita Gamarra, Pedro Romero-Aroca, Aïda Valls, Domenec Puig:
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection. Comput. Biol. Medicine 127: 104049 (2020) - [j8]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) - [j7]Jordina Torrents-Barrena, Gemma Piella, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
Deep Q-CapsNet Reinforcement Learning Framework for Intrauterine Cavity Segmentation in TTTS Fetal Surgery Planning. IEEE Trans. Medical Imaging 39(10): 3113-3124 (2020) - [j6]Jordina Torrents-Barrena, Gemma Piella, Brenda Valenzuela-Alcaraz, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
TTTS-STgan: Stacked Generative Adversarial Networks for TTTS Fetal Surgery Planning Based on 3D Ultrasound. IEEE Trans. Medical Imaging 39(11): 3595-3606 (2020) - [c16]Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR 2020: 5294-5301 - [c15]Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena:
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. IJCNN 2020: 1-6 - [e1]Yipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Stephen R. Aylward, Andrew Melbourne, Esra Abaci Turk, Jordina Torrents-Barrena:
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12437, Springer 2020, ISBN 978-3-030-60333-5 [contents] - [i3]Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello:
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR abs/2006.07767 (2020)
2010 – 2019
- 2019
- [b1]Jordina Torrents-Barrena:
Deep learning -based segmentation methods for computer-assisted fetal surgery. Pompeu Fabra University, Spain, 2019 - [j5]Jordina Torrents-Barrena, Rocío López-Velazco, Gemma Piella, Narcís Masoller, Brenda Valenzuela-Alcaraz, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
TTTS-GPS: Patient-specific preoperative planning and simulation platform for twin-to-twin transfusion syndrome fetal surgery. Comput. Methods Programs Biomed. 179 (2019) - [j4]Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects. Medical Image Anal. 51: 61-88 (2019) - [j3]Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI. Medical Image Anal. 54: 263-279 (2019) - [c14]Iván Calvo, Saúl Calderón Ramírez, Jordina Torrents-Barrena, Erick Muñoz, Domenec Puig:
Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images. CARLA 2019: 262-275 - [c13]Jose Carranza-Rojas, Saúl Calderón Ramírez, Adán Mora-Fallas, Michael Granados-Menani, Jordina Torrents-Barrena:
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification. ICANN (3) 2019: 3-16 - [c12]Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal Surgery. ISBI 2019: 772-775 - [c11]Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Lanzarini, Domenec Puig:
Measuring (in)variances in Convolutional Networks. JCC&BD 2019: 98-109 - 2018
- [c10]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 - [c9]Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
Fetal MRI Synthesis via Balanced Auto-Encoder Based Generative Adversarial Networks. EMBC 2018: 2599-2602 - [c8]Jordina Torrents-Barrena, Rocío López-Velazco, Narcís Masoller, Brenda Valenzuela-Alcaraz, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
Preoperative Planning and Simulation Framework for Twin-to-Twin Transfusion Syndrome Fetal Surgery. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 184-193 - [c7]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 - [i2]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) - [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
- [c6]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 - 2016
- [j2]M. Beenamol, J. Mohanalin, S. Prabavathy, Jordina Torrents-Barrena, Domenec Puig:
A novel wavelet seismic denoising method using type II fuzzy. Appl. Soft Comput. 48: 507-521 (2016) - [j1]Jordina Torrents-Barrena, Domenec Puig, Jaime Melendez, Aïda Valls:
Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images. J. Exp. Theor. Artif. Intell. 28(1-2): 295-311 (2016) - [c5]José Escorcia-Gutierrez, Jordina Torrents-Barrena, Pedro Romero-Aroca, Aïda Valls, Domenec Puig:
Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals. CCIA 2016: 39-44 - 2015
- [c4]Jordina Torrents-Barrena, Aïda Valls, Petia Radeva, Meritxell Arenas, Domenec Puig:
Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis. CCIA 2015: 247-256 - [c3]Jordina Torrents-Barrena, Jaime Melendez, Aïda Valls, Pere Romero, Domenec Puig:
Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks. CCIA 2015: 259-262 - 2014
- [c2]Jordina Torrents-Barrena, Domenec Puig, Maria Ferre, Jaime Melendez, Joan Martí, Aïda Valls:
Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms. CCIA 2014: 149-158 - [c1]Jordina Torrents-Barrena, Domenec Puig, Maria Ferre, Jaime Melendez, Lorena Diez-Presa, Meritxell Arenas, Joan Martí:
Breast Masses Identification through Pixel-Based Texture Classification. Digital Mammography / IWDM 2014: 581-588
Coauthor Index
aka: Domenec Puig-Valls
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
