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Author
Debora Gil; Guillermo Torres
Title
A multi-shape loss function with adaptive class balancing for the segmentation of lung structures
Type
Conference Article
Year
2020
Publication
34th International Congress and Exhibition on Computer Assisted Radiology & Surgery
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Address
Virtual; June 2020
Corporate Author
Thesis
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Place of Publication
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Summary Language
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Conference
CARS
Notes
IAM; 600.139; 600.145
Approved
no
Call Number
Admin @ si @ GiT2020
Serial
3472
Permanent link to this record
Author
Debora Gil; Oriol Ramos Terrades; Raquel Perez
Title
Topological Radiomics (TOPiomics): Early Detection of Genetic Abnormalities in Cancer Treatment Evolution
Type
Conference Article
Year
2020
Publication
Women in Geometry and Topology
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Address
Barcelona; September 2019
Corporate Author
Thesis
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Notes
IAM; DAG; 600.139; 600.145; 600.121
Approved
no
Call Number
Admin @ si @ GRP2020
Serial
3473
Permanent link to this record
Author
Guillermo Torres; Jan Rodríguez Dueñas; Sonia Baeza; Antoni Rosell; Carles Sanchez; Debora Gil
Title
Prediction of Malignancy in Lung Cancer using several strategies for the fusion of Multi-Channel Pyradiomics Images
Type
Conference Article
Year
2023
Publication
7th Workshop on Digital Image Processing for Medical and Automotive Industry in the framework of SYNASC 2023
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
This study shows the generation process and the subsequent study of the representation space obtained by extracting GLCM texture features from computer-aided tomography (CT) scans of pulmonary nodules (PN). For this, data from 92 patients from the Germans Trias i Pujol University Hospital were used. The workflow focuses on feature extraction using Pyradiomics and the VGG16 Convolutional Neural Network (CNN). The aim of the study is to assess whether the data obtained have a positive impact on the diagnosis of lung cancer (LC). To design a machine learning (ML) model training method that allows generalization, we train SVM and neural network (NN) models, evaluating diagnosis performance using metrics defined at slice and nodule level.
Address
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DIPMAI
Notes
IAM
Approved
no
Call Number
Admin @ si @ TRB2023
Serial
3926
Permanent link to this record
Author
Guillermo Torres; Debora Gil; Antoni Rosell; S. Mena; Carles Sanchez
Title
Virtual Radiomics Biopsy for the Histological Diagnosis of Pulmonary Nodules
Type
Conference Article
Year
2023
Publication
37th International Congress and Exhibition is organized by Computer Assisted Radiology and Surgery
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Pòster
Address
Munich; Germany; June 2023
Corporate Author
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CARS
Notes
IAM
Approved
no
Call Number
Admin @ si @ TGR2023a
Serial
3950
Permanent link to this record
Author
Sonia Baeza; Debora Gil; Carles Sanchez; Guillermo Torres; Ignasi Garcia Olive; Ignasi Guasch; Samuel Garcia Reina; Felipe Andreo; Jose Luis Mate; Jose Luis Vercher; Antonio Rosell
Title
Biopsia virtual radiomica para el diagnóstico histológico de nódulos pulmonares – Resultados intermedios del proyecto Radiolung
Type
Conference Article
Year
2023
Publication
SEPAR
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Pòster
Address
Granada; Spain; June 2023
Corporate Author
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SEPAR
Notes
IAM
Approved
no
Call Number
Admin @ si @ BGS2023
Serial
3951
Permanent link to this record
Author
Debora Gil; Guillermo Torres; Carles Sanchez
Title
Transforming radiomic features into radiological words
Type
Conference Article
Year
2023
Publication
IEEE International Symposium on Biomedical Imaging
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Pòster
Address
Cartagena de Indias; Colombia; April 2023
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Summary Language
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ISBI
Notes
IAM
Approved
no
Call Number
Admin @ si @ GTS2023
Serial
3952
Permanent link to this record
Author
Pau Cano; Debora Gil; Eva Musulen
Title
Towards automatic detection of helicobacter pylori in histological samples of gastric tissue
Type
Conference Article
Year
2023
Publication
IEEE International Symposium on Biomedical Imaging
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Address
Cartagena de Indias; Colombia; April 2023
Corporate Author
Thesis
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Summary Language
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Series Editor
Series Title
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ISBI
Notes
IAM
Approved
no
Call Number
Admin @ si @ CGM2023
Serial
3953
Permanent link to this record
Author
Guillermo Torres; Debora Gil; Antonio Rosell; Sonia Baeza; Carles Sanchez
Title
A radiomic biopsy for virtual histology of pulmonary nodules
Type
Conference Article
Year
2023
Publication
IEEE International Symposium on Biomedical Imaging
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Pòster
Address
Cartagena de Indias; Colombia; April 2023
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
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ISBI
Notes
IAM
Approved
no
Call Number
Admin @ si @ TGR2023b
Serial
3954
Permanent link to this record
Author
Paula Fritzsche; C.Roig; Ana Ripoll; Emilio Luque; Aura Hernandez-Sabate
Title
A Performance Prediction Methodology for Data-dependent Parallel Applications
Type
Conference Article
Year
2006
Publication
Proceedings of the IEEE International Conference on Cluster Computing
Abbreviated Journal
Volume
Issue
Pages
1-8
Keywords
Abstract
The increase in the use of parallel distributed architectures in order to solve large-scale scientific problems has generated the need for performance prediction for both deterministic applications and non-deterministic applications. In particular, the performance prediction of data dependent programs is an extremely challenging problem because for a specific issue the input datasets may cause different execution times. Generally, a parallel application is characterized as a collection of tasks and their interrelations. If the application is time-critical it is not enough to work with only one value per task, and consequently knowledge of the distribution of task execution times is crucial. The development of a new prediction methodology to estimate the performance of data-dependent parallel applications is the primary target of this study. This approach makes it possible to evaluate the parallel performance of an application without the need of implementation. A real data-dependent arterial structure detection application model is used to apply the methodology proposed. The predicted times obtained using the new methodology for genuine datasets are compared with predicted times that arise from using only one execution value per task. Finally, the experimental study shows that the new methodology generates more precise predictions.
Address
Corporate Author
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Place of Publication
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Summary Language
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Series Editor
Series Title
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Conference
Notes
IAM
Approved
no
Call Number
IAM @ iam @ FRR2006
Serial
1497
Permanent link to this record
Author
Jaume Garcia; Francesc Carreras; Sandra Pujades; Debora Gil
Title
Regional motion patterns for the Left Ventricle function assessment
Type
Conference Article
Year
2008
Publication
Proc. 19th Int. Conf. Pattern Recognition ICPR 2008
Abbreviated Journal
Volume
Issue
Pages
1-4
Keywords
Abstract
Regional scores (e.g. strain, perfusion) of the Left Ventricle (LV) functionality are playing an increasing role in the diagnosis of cardiac diseases. A main limitation is the lack of normality models for complementary scores oriented to assessment of the LV integrity. This paper introduces an original framework based on a parametrization of the LV domain, which allows comparison across subjects of local physiological measures of different nature. We compute regional normality patterns in a feature space characterizing the LV function. We show the consistency of the model for the regional motion on healthy and hypokinetic pathological cases
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
IAM
Approved
no
Call Number
IAM @ iam @ GCP2008
Serial
1510
Permanent link to this record
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