Welcome to the UPF Digital Repository

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

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

Sort by: Order: Results:

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

Search DSpace

Browse

My Account

In collaboration with Compliant to Partaking