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Rosa Maria Ortiz, Debora Gil, Elisa Minchole, Marta Diez-Ferrer, & Noelia Cubero de Frutos. (2017). "Classification of Confolcal Endomicroscopy Patterns for Diagnosis of Lung Cancer " In 18th World Conference on Lung Cancer.
Abstract: Confocal Laser Endomicroscopy (CLE) is an emerging imaging technique that allows the in-vivo acquisition of cell patterns of potentially malignant lesions. Such patterns could discriminate between inflammatory and neoplastic lesions and, thus, serve as a first in-vivo biopsy to discard cases that do not actually require a cell biopsy.
The goal of this work is to explore whether CLE images obtained during videobronchoscopy contain enough visual information to discriminate between benign and malign peripheral lesions for lung cancer diagnosis. To do so, we have performed a pilot comparative study with 12 patients (6 adenocarcinoma and 6 benign-inflammatory) using 2 different methods for CLE pattern analysis: visual analysis by 3 experts and a novel methodology that uses graph methods to find patterns in pre-trained feature spaces. Our preliminary results indicate that although visual analysis can only achieve a 60.2% of accuracy, the accuracy of the proposed unsupervised image pattern classification raises to 84.6%.
We conclude that CLE images visual information allow in-vivo detection of neoplastic lesions and graph structural analysis applied to deep-learning feature spaces can achieve competitive results.
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Debora Gil, Aura Hernandez-Sabate, David Castells, & Jordi Carrabina. (2017). "CYBERH: Cyber-Physical Systems in Health for Personalized Assistance " In International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.
Abstract: Assistance systems for e-Health applications have some specific requirements that demand of new methods for data gathering, analysis and modeling able to deal with SmallData:
1) systems should dynamically collect data from, both, the environment and the user to issue personalized recommendations; 2) data analysis should be able to tackle a limited number of samples prone to include non-informative data and possibly evolving in time due to changes in patient condition; 3) algorithms should run in real time with possibly limited computational resources and fluctuant internet access.
Electronic medical devices (and CyberPhysical devices in general) can enhance the process of data gathering and analysis in several ways: (i) acquiring simultaneously multiple sensors data instead of single magnitudes (ii) filtering data; (iii) providing real-time implementations condition by isolating tasks in individual processors of multiprocessors Systems-on-chip (MPSoC) platforms and (iv) combining information through sensor fusion
techniques.
Our approach focus on both aspects of the complementary role of CyberPhysical devices and analysis of SmallData in the process of personalized models building for e-Health applications. In particular, we will address the design of Cyber-Physical Systems in Health for Personalized Assistance (CyberHealth) in two specific application cases: 1) A Smart Assisted Driving System (SADs) for dynamical assessment of the driving capabilities of Mild Cognitive Impaired (MCI) people; 2) An Intelligent Operating Room (iOR) for improving the yield of bronchoscopic interventions for in-vivo lung cancer diagnosis.
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Debora Gil, & Antoni Rosell. (2019)." Advances in Artificial Intelligence – How Lung Cancer CT Screening Will Progress?" In World Lung Cancer Conference.
Abstract: Invited speaker
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Debora Gil, & Guillermo Torres. (2020). "A multi-shape loss function with adaptive class balancing for the segmentation of lung structures " In 34th International Congress and Exhibition on Computer Assisted Radiology & Surgery.
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Debora Gil, Oriol Ramos Terrades, & Raquel Perez. (2020). "Topological Radiomics (TOPiomics): Early Detection of Genetic Abnormalities in Cancer Treatment Evolution " In Women in Geometry and Topology.
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Guillermo Torres, & Debora Gil. (2020)." A multi-shape loss function with adaptive class balancing for the segmentation of lung structures" . International Journal of Computer Assisted Radiology and Surgery, 15(1), S154–55.
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Guillermo Torres, Debora Gil, Antoni Rosell, S. Mena, & Carles Sanchez. (2023)." Virtual Radiomics Biopsy for the Histological Diagnosis of Pulmonary Nodules – Intermediate Results of the RadioLung Project" . International Journal of Computer Assisted Radiology and Surgery, .
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Juan Borrego-Carazo, Carles Sanchez, David Castells, Jordi Carrabina, & Debora Gil. (2022)." A benchmark for the evaluation of computational methods for bronchoscopic navigation" . International Journal of Computer Assisted Radiology and Surgery, 17(1).
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Antoni Rosell, Sonia Baeza, S. Garcia-Reina, JL. Mate, Ignasi Guasch, I. Nogueira, et al. (2022)." Radiomics to increase the effectiveness of lung cancer screening programs. Radiolung preliminary results." European Respiratory Journal, 60(66).
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Guillermo Torres, Debora Gil, Antoni Rosell, S. Mena, & Carles Sanchez. (2023)." Virtual Radiomics Biopsy for the Histological Diagnosis of Pulmonary Nodules" In 37th International Congress and Exhibition is organized by Computer Assisted Radiology and Surgery.
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