Name
Papers
Collaborators
JORDINA TORRENTS-BARRENA
24
62
Citations 
PageRank 
Referers 
23
8.71
93
Referees 
References 
325
93
Search Limit
100325
Title
Citations
PageRank
Year
A Color Fusion Model Based On Markowitz Portfolio Optimization For Optic Disc Segmentation In Retinal Images00.342021
TTTS-STgan: Stacked Generative Adversarial Networks for TTTS Fetal Surgery Planning Based on 3D Ultrasound00.342020
Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network80.472020
Deep Q-CapsNet Reinforcement Learning Framework for Intrauterine Cavity Segmentation in TTTS Fetal Surgery Planning00.342020
Convexity Shape Constraints For Retinal Blood Vessel Segmentation And Foveal Avascular Zone Detection00.342020
Dealing With Scarce Labelled Data: Semi-Supervised Deep Learning With Mix Match For Covid-19 Detection Using Chest X-Ray Images00.342020
Segmentation Of The Placenta And Its Vascular Tree In Doppler Ultrasound For Fetal Surgery Planning00.342020
Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI.00.342019
Unsharp Masking Layer: Injecting Prior Knowledge In Convolutional Networks For Image Classification10.342019
Measuring (in)variances in Convolutional Networks.00.342019
Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects.30.442019
TTTS-GPS: Patient-specific preoperative planning and simulation platform for twin-to-twin transfusion syndrome fetal surgery.00.342019
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.10.342018
Fetal MRI Synthesis via Balanced Auto-Encoder Based Generative Adversarial Networks.00.342018
Preoperative Planning And Simulation Framework For Twin-To-Twin Transfusion Syndrome Fetal Surgery00.342018
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.00.342018
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network.00.342017
A novel wavelet seismic denoising method using type II fuzzy.20.422016
Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images.40.522016
Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals.20.372016
Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis.00.342015
Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks.00.342015
Breast Masses Identification through Pixel-Based Texture Classification.20.392014
Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms.00.342014