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Browsing by Author "González Ballester, Miguel Ángel, 1973-"

Browsing by Author "González Ballester, Miguel Ángel, 1973-"

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  • 3D reconstruction for plastic surgery simulation based on statistical shape models
    Ruiz Fernández, Guillermo (Universitat Pompeu Fabra, 2019-06-12)
    This thesis has been accomplished in Crisalix in collaboration with the Universitat Pompeu Fabra within the program of Doctorats Industrials. Crisalix has the mission of enhancing the communication between professionals ...
  • 3D subject-specific shape and density modeling of the lumbar spine from 2D DXA images for osteoporosis assessment
    López Picazo, Mirella, (Universitat Pompeu Fabra, 2019-03-19)
    Osteoporosis is the most common bone disease, with a significant morbidity and mortality caused by the increase of bone fragility and susceptibility to fracture. Dual Energy X-ray Absorptiometry (DXA) is the gold standard ...
  • A hierarchical multi-task approach to gastrointestinal image analysis
    Galdran, Adrian; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2021)
    A large number of different lesions and pathologies can affect the human digestive system, resulting in life-threatening situations. Early detection plays a relevant role in the successful treatment and the increase of ...
  • A Multiscale imaging and modelling dataset of the human inner ear
    Gerber, Nicolas; Reyes, Mauricio; Barazzetti, Livia; Kjer, Hans Martin; Vera, Sergio; Stauber, Martin; Mistrik, Pavel; Ceresa, Mario; Mangado López, Nerea; Wimmer, Wilhelm; Stark, Thomas; Paulsen, Rasmus; Weber, Stefan; Caversaccio, Marco; González Ballester, Miguel Ángel, 1973- (Nature Publishing Group, 2017)
    Understanding the human inner ear anatomy and its internal structures is paramount to advance hearing implant technology. While the emergence of imaging devices allowed researchers to improve understanding of intracochlear ...
  • Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
    Mangado López, Nerea; Piella Fenoy, Gemma; Noailly, Jérôme; Pons-Prats, Jordi; González Ballester, Miguel Ángel, 1973- (Frontiers, 2016)
    Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in ...
  • Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
    Cetin, Irem; Stephens, Maialen; Camara, Oscar; González Ballester, Miguel Ángel, 1973- (Elsevier, 2023)
    Deep learning (DL) methods where interpretability is intrinsically considered as part of the model are required to better understand the relationship of clinical and imaging-based attributes with DL outcomes, thus facilitating ...
  • Automatic labeling of vascular structures with topological constraints via HMM
    Wang, Xingce; Liu, Yue; Wu, Zhongke; Mou, Xiao; Zhou, Mingquan; González Ballester, Miguel Ángel, 1973-; Zhang, Chong (Springer, 2017)
    Identifcation of anatomical vessel branches is a prerequisite task for diagnosis, treatment and inter-subject comparison. We propose a novel graph labeling approach to anatomically label vascular structures of interest. ...
  • Automatic labeling of vascular structures with topological constraints via HMM [Research data]
    Wang, Xingce; Liu, Yue; Wu, Zhongke; Mou, Xiao; Zhou, Mingquan; González Ballester, Miguel Ángel, 1973- (Universitat Pompeu Fabra, 2017-06-15)
    The project contains the implementation of the method described in: Wang et al., "Automatic labeling of vascular structures with topological constraints via HMM", MICCAI 2017. We propose a novel graph labeling approach ...
  • Balanced-mixup for highly imbalanced medical image classification
    Galdran, Adrian; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2021)
    Highly imbalanced datasets are ubiquitous in medical image classification problems. In such problems, it is often the case that rare classes associated to less prevalent diseases are severely under-represented in labeled ...
  • Characteristics and uses of dual-spiral dual-energy CT in radiotherapy of the head and neck
    Fernández-Velilla Cepria, Enric (Universitat Pompeu Fabra, 2023-01-31)
    Dual-Spiral Dual-Energy Computed Tomography is an emerging technology that is being introduced in Radiotherapy Departments of hospitals because of its cost and simplicity. There is still a lack of literature about its ...
  • Cochlear finite element modelling, Mesh quality under SSM-Driven deformations
    Kjer, Hans Martin; Ceresa, Mario; Carranza, Noemí; Vera, Sergio; Pérez, Frederic; Barazzetti, Livia; Reyes, Mauricio; González Ballester, Miguel Ángel, 1973-; Paulsen, Rasmus (Technical University of Denmark, 2013)
    Combining a high resolution cochlear finite element model with a/npatient low resolution CT scan could provide benefits for the use and implantation/nof cochlear implants. In order to do so requires a cochlear statistical ...
  • Cochlear implantation modeling and functional evaluation considering uncertainty and parameter variability
    Mangado López, Nerea (Universitat Pompeu Fabra, 2017-11-16)
    Recent innovations in computational modeling have led to important advances towards the development of predictive tools to simulate and optimize surgery outcomes. This thesis is focused on cochlear implantation surgery, ...
  • Computational anatomy as a driver of understanding structural and functional cardiac remodeling
    Bernardino Perez, Gabriel (Universitat Pompeu Fabra, 2019-12-16)
    We present a statistical shape analysis framework to identify cardiac shape remodelling while accounting for individual´s natural variability and apply it in two clinical applications: comparing triathletes with controls, ...
  • Computational evaluation of Cochlear implant surgery outcomes accounting for uncertainty and parameter variability
    Mangado López, Nerea; Pons-Prats, Jordi; Coma, Martí; Mistrik, Pavel; Piella Fenoy, Gemma; Ceresa, Mario; González Ballester, Miguel Ángel, 1973- (Frontiers, 2018)
    Cochlear implantation (CI) is a complex surgical procedure that restores hearing in patients with severe deafness. The successful outcome of the implanted device relies on a group of factors, some of them unpredictable or ...
  • Computational image analysis methods for the study of perinatal brain development
    Urru, Andrea (Universitat Pompeu Fabra, 2022-07-28)
    Perinatal medicine has drawn increasing attention by the neuroscientific research community, as an early detection of most pathologies leads to more effective therapies and treatments. Monitoring fetal and neonatal brain ...
  • Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly
    Benkarim, Oualid M.; Hahner, Nadine; Piella Fenoy, Gemma; Gratacós Solsona, Eduard; González Ballester, Miguel Ángel, 1973-; Eixarch, Elisenda; Sanromà, Gerard (Elsevier, 2018)
    Neuroimaging of brain diseases plays a crucial role in understanding brain abnormalities and early diagnosis. Of great importance is the study of brain abnormalities in utero and the assessment of deviations in case of ...
  • Coupled immunological and biomechanical model of emphysema progression
    Ceresa, Mario; Olivares Miyares, Andy Luis; Noailly, Jérôme; González Ballester, Miguel Ángel, 1973- (Frontiers, 2018)
    Chronic Obstructive Pulmonary Disease (COPD) is a disabling respiratory pathology, with a high prevalence and a significant economic and social cost. It is characterized by different clinical phenotypes with different risk ...
  • Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty
    Jiménez Sánchez, Amelia; Mateus, Diana; Kirchhoff, Sonja; Kirchhoff, Chlodwig; Biberthaler, Peter; Navab, Nassir; González Ballester, Miguel Ángel, 1973-; Piella Fenoy, Gemma (Elsevier, 2022)
    An adequate classification of proximal femur fractures from X-ray images is crucial for the treatment choice and the patients’ clinical outcome. We rely on the commonly used AO system, which describes a hierarchical knowledge ...
  • Deep learning -based segmentation methods for computer-assisted fetal surgery
    Torrents Barrena, Jordina (Universitat Pompeu Fabra, 2019-12-09)
    This thesis focuses on the development of deep learning-based image processing techniques for the detection and segmentation of fetal structures in magnetic resonance imaging (MRI) and 3D ultrasound (US) images of singleton ...
  • Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
    Bernard, Olivier; Lalande, Alain; Zotti, Clement; Cervenansky, Frederick; Yang, Xin; Heng, Pheng-Ann; Cetin, Irem; Lekadir, Karim, 1977-; Camara, Oscar; González Ballester, Miguel Ángel, 1973-; Sanromà, Gerard; Napel, Sandy; Petersen, Steffen; Tziritas, Georgios; Grinias, Elias; Khened, Mahendra; Kollerathu, Varghese Alex; Krishnamurthi, Ganapathy; Rohé, Marc-Michel; Pennec, Xavier; Sermesant, Maxime; Isensee, Fabian; Jäger, Paul; Maier-Hein, Klaus H.; Full, Peter M.; Wolf, Ivo; Engelhardt, Sandy; Baumgartner, Christian F.; Koch, Lisa M.; Wolterink, Jelmer M.; Išgum, Ivana; Jang, Yeonggul; Hong, Yoonmi; Patravali, Jay; Jain, Shubham; Humbert, Olivier; Jodoin, Pierre-Marc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding ...