Jordina Torrents‐Barrena

Medicine · Health Sciences

13h-index591citations48works0.02yr avg
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Research Topics

Fetal and Pediatric Neurological Disorders(14), Radiomics and Machine Learning in Medical Imaging(8), AI in cancer detection(7), Prenatal Screening and Diagnostics(5), Retinal Imaging and Analysis(5)

Publications48 total

Author Correction: Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
Scientific Reports·2023· 3 citedOpen Access
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
Scientific Reports·2023· 45 citedOpen Access
Binder jet green parts microstructure: advanced quantitative analysis
Journal of Materials Research and Technology·2023· 24 citedOpen Access
Maternal fetal ultrasound planes from low-resource imaging settings in five African countries
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Maternal fetal ultrasound planes from low-resource imaging settings in five African countries
Zenodo (CERN European Organization for Nuclear Research)·2023· 2 citedOpen Access
Invariance measures for neural networks
Applied Soft Computing·2022· 3 citedOpen Access
FPGA-Based Accelerator for AI-Toolbox Reinforcement Learning Library
IEEE Embedded Systems Letters·2022· 3 cited
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
arXiv (Cornell University)·2022· 5 citedOpen Access
Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
Graefe s Archive for Clinical and Experimental Ophthalmology·2022· 10 citedOpen Access
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets
IEEE Transactions on Artificial Intelligence·2022· 14 citedOpen Access
FPGA acceleration analysis of LibSVM predictors based on high-level synthesis
The Journal of Supercomputing·2022· 3 cited
A Feature Selection Strategy to Optimize Retinal Vasculature Segmentation
Computers, materials & continua/Computers, materials & continua (Print)·2021· 5 citedOpen Access
Deep Learning. Aplicaciones en reconocimiento de lengua de señas, generación de lenguaje natural e imágenes astronómicas
El Servicio de Difusión de la Creación Intelectual (National University of La Plata)·2021Open Access
A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images
Expert Systems with Applications·2021· 15 citedOpen Access
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images
2021· 25 citedOpen Access
Smart Cellulose Composites: Advanced Applications and Properties Prediction Using Machine Learning
Elsevier eBooks·2021· 6 cited
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection
Computers in Biology and Medicine·2020· 10 citedOpen Access
VP22.02: MR‐based patient‐specific planning platform for Twin–twin transfusion syndrome surgery
Ultrasound in Obstetrics and Gynecology·2020Open Access
Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning
International Journal of Computer Assisted Radiology and Surgery·2020· 2 cited
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning
2020· 4 citedOpen Access
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Frequent Co-authors

Domènec Puig(17), E. Gratacós(15), E. Eixarch(15), Mario Ceresa(11), Miguel Á. González Ballester(9), Gemma Piella(8), N. Masoller(8), Lukas Calefice(7), Carla Sendra-Balcells(5), Víctor M. Campello(5), Yahya Ali Ahmed(5), Mustafa Elattar(5), Benard Ohene Botwe(5), Pempho Nyangulu(5), William Stones(5), Mohammed Ammar(5), Lamya Nawal Benamer(5), Harriet Kisembo(5), Senai Goitom Sereke(5), Sikolia Wanyonyi(5)