Jordina Torrents-Barrena
Orcid: 0000-0002-7380-6297
According to our database1,
Jordina Torrents-Barrena
authored at least 37 papers
between 2014 and 2023.
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Bibliography
2023
IEEE Embed. Syst. Lett., June, 2023
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell., April, 2023
2022
J. Supercomput., 2022
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries.
CoRR, 2022
2021
A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images.
Expert Syst. Appl., 2021
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images.
Proceedings of the Advances in Computational Intelligence, 2021
2020
TTTS-STgan: Stacked Generative Adversarial Networks for TTTS Fetal Surgery Planning Based on 3D Ultrasound.
IEEE Trans. Medical Imaging, 2020
Deep Q-CapsNet Reinforcement Learning Framework for Intrauterine Cavity Segmentation in TTTS Fetal Surgery Planning.
IEEE Trans. Medical Imaging, 2020
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.
Expert Syst. Appl., 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures.
CoRR, 2020
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection.
Comput. Biol. Medicine, 2020
Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning.
Int. J. Comput. Assist. Radiol. Surg., 2020
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
PhD thesis, 2019
Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI.
Medical Image Anal., 2019
Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects.
Medical Image Anal., 2019
TTTS-GPS: Patient-specific preoperative planning and simulation platform for twin-to-twin transfusion syndrome fetal surgery.
Comput. Methods Programs Biomed., 2019
Proceedings of the 7th Conference on Cloud Computing & Big Data, 2019
Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal Surgery.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images.
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019
2018
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
CoRR, 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
CoRR, 2018
Preoperative Planning and Simulation Framework for Twin-to-Twin Transfusion Syndrome Fetal Surgery.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 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
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
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
2016
Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images.
J. Exp. Theor. Artif. Intell., 2016
Appl. Soft Comput., 2016
Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals.
Proceedings of the Artificial Intelligence Research and Development, 2016
2015
Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2015
Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis.
Proceedings of the Artificial Intelligence Research and Development, 2015
2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms.
Proceedings of the Artificial Intelligence Research and Development, 2014